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127
Mineru_api_client-V2.py
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127
Mineru_api_client-V2.py
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import os
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import requests
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import zipfile
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import io
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import shutil # 【新增】用于删除非空文件夹
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import argparse # <--- 1. 确保这里导入了
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def main():
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# 1. 配置命令行参数解析
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parser = argparse.ArgumentParser(description="Mineru PDF 转 Markdown 批量处理工具")
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# 添加参数
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parser.add_argument("-s", "--source", type=str, default="./Papers/ORI_PDF",
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help="源 PDF 文件夹路径 (默认: ./Papers/ORI_PDF)")
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parser.add_argument("-t", "--target", type=str, default="./Papers/ORI_MD",
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help="目标 Markdown 文件夹路径 (默认: ./Papers/ORI_MD)")
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parser.add_argument("-u", "--url", type=str, default="http://10.168.1.103:4000/extract",
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help="API 服务端地址 (默认: http://10.168.1.103:4000/extract)")
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parser.add_argument("--sync", action="store_true",
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help="任务完成后是否开启反向同步清理（删除多余的输出文件夹）")
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args = parser.parse_args()
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# 使用解析后的参数
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url = args.url
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source_dir = args.source
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target_dir = args.target
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# 2. 确保源目录存在，避免报错
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if not os.path.exists(source_dir):
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print(f"错误: 找不到源文件夹 '{source_dir}'")
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exit(1)
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# 确保目标主文件夹存在
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os.makedirs(target_dir, exist_ok=True)
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# 3. 遍历源文件夹下的所有文件进行上传处理
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for filename in os.listdir(source_dir):
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# 只处理 PDF 文件
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if not filename.lower().endswith(".pdf"):
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continue
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file_path = os.path.join(source_dir, filename)
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# 获取去掉 .pdf 后缀的文件名
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pdf_name_no_ext = os.path.splitext(filename)[0]
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# 对应的输出文件夹路径
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output_folder = os.path.join(target_dir, pdf_name_no_ext)
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# ==========================================
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# 检查是否已经处理过
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# 如果输出文件夹已存在，且内部有文件，则视为已转换，直接跳过
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# ==========================================
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if os.path.exists(output_folder) and len(os.listdir(output_folder)) > 0:
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print(f"⏩ 已存在转换结果，跳过处理: {filename}")
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continue
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print(f"正在上传并处理 {filename}...")
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try:
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# 4. 发送请求
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with open(file_path, "rb") as f:
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files = {"file": (filename, f, "application/pdf")}
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response = requests.post(url, files=files)
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# 5. 处理响应结果
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if response.status_code == 200:
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# 检查服务端是否返回了包含报错信息的 JSON
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if response.headers.get('content-type') == 'application/json':
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error_msg = response.json()
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print(f"❌ 服务端处理失败 ({filename})：{error_msg.get('message', '未知错误')}")
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continue # 跳过解压，处理下一个
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# 确保该 PDF 专属的输出文件夹存在
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os.makedirs(output_folder, exist_ok=True)
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# 核心：使用 io.BytesIO 直接在内存中读取 zip 内容并解压
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try:
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with zipfile.ZipFile(io.BytesIO(response.content)) as zip_ref:
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zip_ref.extractall(output_folder)
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print(f"✅ 成功！已解压并保存至文件夹: {output_folder}")
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except zipfile.BadZipFile:
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print(f"❌ 失败！{filename} 返回的内容不是有效的 ZIP 格式。")
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else:
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print(f"❌ 失败！{filename} 状态码: {response.status_code}, 报错: {response.text}")
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except requests.exceptions.RequestException as e:
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print(f"❌ 网络请求异常 ({filename}): {e}")
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except Exception as e:
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print(f"❌ 处理 {filename} 时发生未知错误: {e}")
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print("-" * 30)
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print("转换任务结束，开始进行文件夹同步清理...")
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# ==========================================
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# 【新增逻辑】：反向比对，清理多余的 MD 文件夹
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# ==========================================
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# 1. 收集当前 ORI_PDF 中所有有效的 PDF 名字（不含后缀）
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valid_pdf_names = set()
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for filename in os.listdir(source_dir):
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if filename.lower().endswith(".pdf"):
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valid_pdf_names.add(os.path.splitext(filename)[0])
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# 2. 遍历 ORI_MD 文件夹
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if os.path.exists(target_dir):
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for folder_name in os.listdir(target_dir):
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folder_path = os.path.join(target_dir, folder_name)
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# 仅处理文件夹（以防里面有意外的独立文件）
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if os.path.isdir(folder_path):
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# 3. 如果这个文件夹的名字不在有效的 PDF 列表中，说明是被删掉的“孤儿”
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if folder_name not in valid_pdf_names:
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print(f"🧹 发现多余文件，正在清理: {folder_name}")
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try:
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# 使用 shutil.rmtree 删除整个文件夹及其内部所有内容
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shutil.rmtree(folder_path)
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except Exception as e:
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print(f"❌ 删除 {folder_name} 时发生错误: {e}")
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print("-" * 30)
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print("所有批量任务彻底完成！")
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if __name__ == "__main__":
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try:
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main()
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except KeyboardInterrupt:
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print("\n检测到用户中断，程序退出。")
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252
文档润色Agent.md
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文档润色Agent.md
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# 文档润色 Agent 与 Claude Scholar 学术插件快速索引
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问题开始时间：2026-05-30-16-16-29
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## 0. 本次下载与阅读范围
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本次已在 `文档润色流和知识库构建流` 中保留并新增以下材料：
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- 既有解包目录：`文档润色流和知识库构建流/claude-scholar`
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- 本次 Git 下载目录：`文档润色流和知识库构建流/claude-scholar-upstream`
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- GitHub 仓库：<https://github.com/Galaxy-Dawn/claude-scholar>
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- 当前读取提交：`105a476`
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重点阅读文件：
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- `README.zh-CN.md`、`README.md`
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- `MCP_SETUP.zh-CN.md`
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- `OBSIDIAN_SETUP.zh-CN.md`
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- `.claude-plugin/plugin.json`
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- `.claude-plugin/marketplace.json`
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- `agents/*.md`
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- `skills/*/SKILL.md`
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- `commands/*.md`
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- `rules/claude-scholar-core.md`
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- `rules/agents.md`
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- `rules/experiment-reproducibility.md`
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## 1. 插件定位
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`claude-scholar` 是面向学术研究、软件开发、实验分析、论文写作和项目知识库维护的半自动研究助手。它的核心理念不是替代研究者，而是把高重复、重结构、易遗忘的研究流程交给 Agent 维护，让人的判断仍处于中心。
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官方主线工作流可以概括为：
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```text
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问题 -> 证据 -> 实验 -> 分析 -> 论断 -> 写作
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```
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对本项目的价值：
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- 将 `核心资料汇总_MD` 中的申报书、博士论文、答辩 PPT、商业计划书、项目申请表等材料变成可复用知识。
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- 对文档润色建立 claim-evidence 纪律，避免把材料中的宣传性表述直接当事实。
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- 从过往获批材料、BP、博士论文中提炼结构、表达、证据节点、图文组织和申报叙事。
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- 为后续知识库、标书、成果汇总、答辩稿、项目申请书提供可追溯的写作素材。
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## 2. 安装与调用方式
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### 2.1 完整安装
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```bash
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git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
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bash /tmp/claude-scholar/scripts/setup.sh
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```
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说明：
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- `main` 分支面向 Claude Code。
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- Codex CLI 官方建议使用 `codex` 分支。
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- OpenCode 用户使用 `opencode` 分支。
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- 安装器会尽量保留已有配置，把仓库托管的 `CLAUDE.md` 作为 sidecar 文件安装。
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### 2.2 插件市场安装
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```text
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/plugin marketplace add Galaxy-Dawn/claude-scholar
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/plugin install claude-scholar@claude-scholar
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```
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注意：
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- 插件市场安装会加载 skills、commands、agents、hooks。
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- Claude Code 插件不能自动分发 `rules/`，rules 需要手动复制。
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- `CLAUDE.md` 和 `settings.json` 不会自动合并到用户原配置，需要人工选择。
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### 2.3 选择性安装
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只复制需要的组件，例如：
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```bash
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cp -r /tmp/claude-scholar/skills/research-ideation ~/.claude/skills/
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cp -r /tmp/claude-scholar/skills/ml-paper-writing ~/.claude/skills/
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cp /tmp/claude-scholar/agents/paper-miner.md ~/.claude/agents/
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cp /tmp/claude-scholar/rules/*.md ~/.claude/rules/
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```
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## 3. Agent 快速索引
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| Agent | 适用场景 | 核心功能 | 调用方法 |
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|---|---|---|---|
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| `literature-reviewer` | 新研究主题、文献综述、research gap、proposal 前期论证 | 多源检索论文；通过 Zotero MCP 导入 DOI/arXiv/URL；自动建 collection；读取 PDF 全文；生成综述、gap、研究问题和 BibTeX | 自然语言说“conduct literature review/search papers/identify research gaps”；或用 `/research-init`、`/zotero-review` |
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| `paper-miner` | 从优秀论文、申报书、BP、答辩材料中学习写作方式 | 读取 PDF/DOCX/arXiv/网页；抽取写作模式、结构信号、可复用表达、venue signals、rebuttal 表达；写入全局 writing memory | `/mine-writing-patterns <source> <focus>`，focus 可为 `general/introduction/method/results/rebuttal/venue` |
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| `rebuttal-writer` | 审稿回复、专家意见回复、项目评审修改说明 | 拆分 reviewer comments；分类 Major/Minor/Typos/Misunderstanding；选择 Accept/Defend/Clarify/Experiment；生成逐条回复 | `/rebuttal <review_file>` 或自然语言要求“respond to reviewers/analyze review comments” |
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| `code-reviewer` | 代码或脚本修改后的质量与安全审查 | 检查 git diff、硬编码密钥、输入验证、性能、测试覆盖、依赖许可、可维护性 | `/code-review` 或代码修改后自动触发 |
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| `tdd-guide` | 明确要求测试先行时 | RED -> GREEN -> REFACTOR，小步编写失败测试、最小实现、验证 | `/tdd` 或明确说“用 TDD” |
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| `kaggle-miner` | 学习 Kaggle 竞赛方案和工程经验 | 提取 Top solutions、技术路线、代码模板、best practices，按 NLP/CV/Tabular/Time Series/Multimodal 分类 | 提供 Kaggle URL 或请求“learn from Kaggle solutions” |
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本项目最常用组合：
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```text
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paper-miner -> 学习已有材料的结构与表达
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literature-reviewer -> 补外部文献证据
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review-response / rebuttal-writer -> 模拟专家质询与修改说明
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code-reviewer -> 检查知识库脚本、批处理脚本和备份流程
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```
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## 4. 学术写作与润色 Skill 索引
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| Skill | 作用 | 本项目推荐用法 |
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|---|---|---|
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| `research-ideation` | 5W1H、gap analysis、Research Question Card、方法选择、项目计划 | 把“手术图文报告/导航/机器人/智能感知”拆成科学问题、应用痛点、证据需求和可交付成果 |
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| `ml-paper-writing` | 顶会论文写作、claim ledger、引用核验、LaTeX、related work | 借用 claim-evidence gate：每个结论都要能回到来源材料或文献 |
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| `citation-verification` | 核查引用真实性、元数据、DOI/arXiv、claim 是否真的由文献支持 | 写项目背景和立项依据时避免伪引用、弱引用和过强表述 |
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| `writing-anti-ai` | 中英文去 AI 味、减少机械连接词和空泛排比 | 润色申报书、成果总结、商业计划书，保留正式但更自然的表达 |
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| `paper-self-review` | 投稿前自审，检查结构、逻辑、引用、图表和过度声称 | 用作标书/申报书提交前的专家预审清单 |
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| `review-response` | 审稿意见分类、回复策略、逐点答复 | 可迁移为“评审意见预演/答辩问答/修改说明” |
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| `doc-coauthoring` | 大型文档协作写作、结构设计、读者测试 | 用于长篇申报书、博士论文摘要、项目申请书重构 |
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| `daily-paper-generator` | arXiv/bioRxiv 主题论文日报 | 围绕手术 AI、Surgical VQA、Surgical Report Generation、MIS navigation 做定期文献追踪 |
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| `publication-chart-skill` | 论文级图表、pubfig/pubtab、图表 QA | 用于技术路线图、系统架构图、实验结果表的发表级整理 |
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| `results-analysis` | 统计分析、图表、effect size、CI、多重比较 | 若后续有实验结果或系统评测表，用它生成可信结果叙述 |
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| `results-report` | 把严格分析产物写成内部实验总结 | 将系统评测、临床验证、消融实验写成可引用报告 |
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| `nature-writing` | Nature 系列文章的章节写作和论证构建 | 可借用其“高密度、证据前置、叙事清晰”的写作纪律 |
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| `nature-polishing` | Nature 风格润色和语言打磨 | 用于英文摘要、英文论文或高端期刊风格材料 |
|
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| `nature-response` | Nature 系列逐点审稿回复 | 可参考其“comment-response tracker”处理专家意见 |
|
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| `nature-data` | 数据可得性、FAIR、数据引用 | 用于数据、代码、伦理、临床资料可得性说明 |
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| `expression-skill` | 结论先行、证据支撑、风险提示、下一步明确 | 用于所有项目汇报和阶段总结 |
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| `planning-with-files` | 用 `task_plan.md`、`notes.md`、deliverable 文件持久化复杂任务 | 后续知识库构建建议默认启用 |
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## 5. 知识库与 Obsidian 相关 Skill
|
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|
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| Skill | 功能 | 本项目落地方式 |
|
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|---|---|---|
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| `obsidian-project-kb-core` | 初始化和维护项目级 Obsidian KB，管理 Hub、Plan、Index、registry、Daily | 可把本项目绑定成 `Research/TWBG_Materials/` |
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| `obsidian-source-ingestion` | 将外部资料路由到 `Sources/Papers/Web/Docs/Data/Interviews/Notes` | 把 `核心资料汇总_MD` 中 19 份材料作为 `Sources/Docs` 或 `Sources/Proposals` |
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| `obsidian-literature-workflow` | 从 paper notes 生成 Literature Overview、Method Taxonomy、Research Gaps、Claim Map、literature.canvas | 后续补医学/手术 AI 文献时使用 |
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| `obsidian-kb-artifacts` | 生成或修复 canvas、Bases 和派生知识图谱 | 适合生成“项目-成果-论文-专利-系统模块”关系图 |
|
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| `zotero-obsidian-bridge` | Zotero 论文集合到 Obsidian paper notes 的桥接 | 外部文献进入 Zotero 后，再沉淀为 `Sources/Papers` |
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| `defuddle` | 网页内容抽取和清理 | 把网页新闻、政策、公示、成果转化页面清理成 Markdown |
|
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|
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## 6. Slash Command 快速索引
|
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|
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### 6.1 文献与研究启动
|
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|
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| Command | 用途 | 示例 |
|
||||
|---|---|---|
|
||||
| `/research-init` | 初始化研究主题，创建 Zotero collection，生成 Research Question Card、文献综述或 proposal | `/research-init "surgical report generation minimally invasive surgery" focused both` |
|
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| `/zotero-review` | 读取 Zotero collection，做深度文献分析并写入 Obsidian KB | `/zotero-review "Surgical AI Report Generation" deep` |
|
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| `/zotero-notes` | 批量生成 Zotero 论文阅读笔记 | `/zotero-notes "Surgical Navigation" detailed` |
|
||||
|
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### 6.2 写作与润色
|
||||
|
||||
| Command | 用途 | 示例 |
|
||||
|---|---|---|
|
||||
| `/mine-writing-patterns` | 从论文、标书、BP 中提取写作模式 | `/mine-writing-patterns 核心资料汇总_MD/.../项目申请书.md introduction` |
|
||||
| `/rebuttal` | 生成审稿/评审意见逐点回复 | `/rebuttal review-comments.md` |
|
||||
| `/poster` | 设计学术会议海报 | `/poster` |
|
||||
| `/presentation` | 创建会议或答辩 slides | `/presentation` |
|
||||
|
||||
### 6.3 知识库
|
||||
|
||||
| Command | 用途 | 说明 |
|
||||
|---|---|---|
|
||||
| `/kb-init` | 初始化项目知识库 | 创建 `Research/{project-slug}/` |
|
||||
| `/kb-ingest` | 导入外部材料 | PDF/Markdown/网页/数据集进入 `Sources/*` |
|
||||
| `/kb-promote` | 将稳定内容提升为 canonical knowledge | 从 source note 或 Daily 提升到 `Knowledge/`、`Writing/` |
|
||||
| `/kb-literature-review` | 从 `Sources/Papers` 生成文献综合 | 需要 Evidence Records 足够 |
|
||||
| `/kb-index` | 刷新 `02-Index.md` | 只更新自动索引块 |
|
||||
| `/kb-map` | 生成/修复 canvas 或关系图 | 默认文献图是 `Maps/literature.canvas` |
|
||||
| `/kb-lint` | 健康检查 | 查断链、孤立页、registry 覆盖、canvas 有效性 |
|
||||
| `/kb-sync` | 同步 scaffold、registry、index、Daily | 批量变更后使用 |
|
||||
| `/kb-status` | 汇总 KB 状态 | 看绑定、计数和关键路径 |
|
||||
| `/kb-log` | 更新 Daily 和项目运行时记忆 | 每次知识库工作结束后记录 |
|
||||
|
||||
### 6.4 实验与代码
|
||||
|
||||
| Command | 用途 |
|
||||
|---|---|
|
||||
| `/analyze-results` | blocker-first 实验后分析，生成统计、图表和结果报告 |
|
||||
| `/code-review` | 代码质量和安全审查 |
|
||||
| `/tdd` | 测试驱动开发 |
|
||||
| `/verify` | 运行验证流程 |
|
||||
| `/commit` | 辅助提交 |
|
||||
|
||||
## 7. Zotero MCP 能力
|
||||
|
||||
`literature-reviewer`、`/research-init`、`/zotero-review`、`/zotero-notes` 依赖 Zotero MCP 时能力最完整。
|
||||
|
||||
主要工具：
|
||||
|
||||
- 导入：`zotero_add_items_by_identifier`、`zotero_add_items_by_doi`、`zotero_add_items_by_arxiv`、`zotero_add_item_by_url`
|
||||
- 读取：`zotero_get_collections`、`zotero_get_collection_items`、`zotero_search_items`、`zotero_get_item_metadata`、`zotero_get_item_fulltext`
|
||||
- 更新：`zotero_create_collection`、`zotero_move_items_to_collection`、`zotero_update_item`、`zotero_update_note`
|
||||
- PDF：`zotero_find_and_attach_pdfs`、`zotero_add_linked_url_attachment`
|
||||
- 清理：`zotero_reconcile_collection_duplicates`
|
||||
|
||||
Codex CLI 配置示例：
|
||||
|
||||
```toml
|
||||
[mcp_servers.zotero]
|
||||
command = "zotero-mcp"
|
||||
args = ["serve"]
|
||||
enabled = true
|
||||
|
||||
[mcp_servers.zotero.env]
|
||||
ZOTERO_API_KEY = "your-api-key"
|
||||
ZOTERO_LIBRARY_ID = "your-user-id"
|
||||
ZOTERO_LIBRARY_TYPE = "user"
|
||||
UNPAYWALL_EMAIL = "your-email@example.com"
|
||||
UNSAFE_OPERATIONS = "all"
|
||||
NO_PROXY = "localhost,127.0.0.1"
|
||||
```
|
||||
|
||||
## 8. 本项目推荐调用路径
|
||||
|
||||
### 8.1 从 `核心资料汇总_MD` 学习材料写法
|
||||
|
||||
```text
|
||||
请使用 paper-miner 的方式读取 `核心资料汇总_MD` 中的博士论文、项目申请书、BP 和支撑材料，
|
||||
抽取以下写作模式：
|
||||
1. 项目背景如何从临床问题进入技术问题；
|
||||
2. 系统贡献如何分层描述；
|
||||
3. 图文报告、手术导航、智能感知、机器人协同的叙事线；
|
||||
4. 可迁移到新申报书的章节结构和高频表达；
|
||||
5. 需要证据支撑或避免过度声称的表述。
|
||||
```
|
||||
|
||||
### 8.2 建立 claim-evidence 台账
|
||||
|
||||
```text
|
||||
请读取 `核心资料汇总_MD`，按 Evidence Record 格式建立“项目核心论断-证据台账”：
|
||||
每条记录包含来源文件、页码或章节、支持的论断、证据强度、允许表述、禁止更强表述。
|
||||
```
|
||||
|
||||
### 8.3 润色项目申报书
|
||||
|
||||
```text
|
||||
请用 writing-anti-ai + paper-self-review 的方式润色以下段落：
|
||||
要求保留正式申报语气，减少套话，所有无法由 `核心资料汇总_MD` 支撑的结论标为 [需证据]。
|
||||
```
|
||||
|
||||
### 8.4 专家评审预演
|
||||
|
||||
```text
|
||||
请使用 review-response 的思路，模拟 5 类专家质询：
|
||||
技术原创性、临床转化、数据合规、系统可落地性、市场/成果转化。
|
||||
对每个问题给出建议答复和需要补强的材料路径。
|
||||
```
|
||||
|
||||
## 9. 对本项目的使用边界
|
||||
|
||||
- `claude-scholar` 原生更偏计算机科学/AI 研究；本项目可借用流程，但医学、临床、伦理、成果转化相关论断仍需用本项目材料或权威文献核证。
|
||||
- `核心资料汇总_MD` 是内部 source of truth，但其中的商业计划书和申报书可能包含宣传性语言，进入知识库时要分清“已验证事实”“项目目标”“预期效果”“商业表达”。
|
||||
- 所有写作结论应能回链到具体来源材料、文献、专利、伦理、转化公示或系统截图。
|
||||
- 文档润色不是单纯“变漂亮”，优先级应为：事实准确、逻辑闭环、证据可追溯、读者能快速理解价值。
|
||||
BIN
文档润色流和知识库构建流/claude-scholar-main.zip
Normal file
BIN
文档润色流和知识库构建流/claude-scholar-main.zip
Normal file
Binary file not shown.
@@ -0,0 +1,18 @@
|
||||
{
|
||||
"name": "claude-scholar",
|
||||
"owner": {
|
||||
"name": "Galaxy-Dawn"
|
||||
},
|
||||
"metadata": {
|
||||
"description": "Semi-automated research assistant for academic research and software development",
|
||||
"homepage": "https://github.com/Galaxy-Dawn/claude-scholar"
|
||||
},
|
||||
"plugins": [
|
||||
{
|
||||
"name": "claude-scholar",
|
||||
"version": "1.0.0",
|
||||
"source": "./",
|
||||
"description": "Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,22 @@
|
||||
{
|
||||
"name": "claude-scholar",
|
||||
"version": "1.0.0",
|
||||
"description": "Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management",
|
||||
"author": {
|
||||
"name": "Galaxy-Dawn"
|
||||
},
|
||||
"repository": "https://github.com/Galaxy-Dawn/claude-scholar",
|
||||
"homepage": "https://github.com/Galaxy-Dawn/claude-scholar",
|
||||
"license": "MIT",
|
||||
"keywords": [
|
||||
"research",
|
||||
"academic",
|
||||
"paper-writing",
|
||||
"literature-review",
|
||||
"experiments",
|
||||
"obsidian",
|
||||
"zotero",
|
||||
"ml",
|
||||
"ai"
|
||||
]
|
||||
}
|
||||
11
文档润色流和知识库构建流/claude-scholar-upstream/.gitattributes
vendored
Normal file
11
文档润色流和知识库构建流/claude-scholar-upstream/.gitattributes
vendored
Normal file
@@ -0,0 +1,11 @@
|
||||
# Fix GitHub language detection
|
||||
# TeX/BibTeX files are knowledge base content, not source code
|
||||
*.tex linguist-detectable=false
|
||||
*.bst linguist-detectable=false
|
||||
*.bib linguist-detectable=false
|
||||
*.cls linguist-detectable=false
|
||||
*.sty linguist-detectable=false
|
||||
|
||||
# JavaScript hooks and scripts are the primary source code
|
||||
*.js linguist-detectable=true
|
||||
*.md linguist-documentation=true
|
||||
104
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/bug_report.yml
vendored
Normal file
104
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/bug_report.yml
vendored
Normal file
@@ -0,0 +1,104 @@
|
||||
name: Bug report
|
||||
description: Report an installation, runtime, compatibility, or behavior bug in Claude Scholar.
|
||||
title: "[Bug]: "
|
||||
labels:
|
||||
- bug
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Thanks for reporting a bug.
|
||||
|
||||
Please keep this report concrete. The fastest bug reports for Claude Scholar include:
|
||||
- the client and branch,
|
||||
- the exact command or prompt,
|
||||
- the full warning or traceback,
|
||||
- and a short reproduction path.
|
||||
|
||||
- type: checkboxes
|
||||
id: preflight
|
||||
attributes:
|
||||
label: Before submitting
|
||||
options:
|
||||
- label: I checked the README / setup docs for the branch I am using.
|
||||
required: true
|
||||
- label: I included the exact error text instead of paraphrasing it.
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
id: client
|
||||
attributes:
|
||||
label: Client
|
||||
options:
|
||||
- Claude Code
|
||||
- Codex
|
||||
- OpenCode
|
||||
- Other / unsure
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
id: branch
|
||||
attributes:
|
||||
label: Branch
|
||||
options:
|
||||
- main
|
||||
- codex
|
||||
- opencode
|
||||
- unsure
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: environment
|
||||
attributes:
|
||||
label: Environment
|
||||
description: Include only the details that matter for reproducing the issue.
|
||||
placeholder: |
|
||||
OS: macOS 15.4
|
||||
Shell: zsh
|
||||
Install mode: scripts/setup.sh
|
||||
Client version: Claude Code 2.1.42
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: exact_action
|
||||
attributes:
|
||||
label: Exact command or exact prompt
|
||||
placeholder: |
|
||||
bash scripts/setup.sh
|
||||
|
||||
or
|
||||
|
||||
Review my Zotero collection on brain foundation models.
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: actual_behavior
|
||||
attributes:
|
||||
label: Actual behavior
|
||||
description: Describe what happened, then paste the full error or terminal output below.
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: error_output
|
||||
attributes:
|
||||
label: Full error / terminal output
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: reproduction_steps
|
||||
attributes:
|
||||
label: Reproduction steps
|
||||
placeholder: |
|
||||
1. Clone branch ...
|
||||
2. Run ...
|
||||
3. Start client ...
|
||||
4. Observe ...
|
||||
validations:
|
||||
required: true
|
||||
8
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/config.yml
vendored
Normal file
8
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/config.yml
vendored
Normal file
@@ -0,0 +1,8 @@
|
||||
blank_issues_enabled: false
|
||||
contact_links:
|
||||
- name: Claude Scholar setup docs
|
||||
url: https://github.com/Galaxy-Dawn/claude-scholar#quick-start
|
||||
about: Please check the Quick Start section before opening an installation issue.
|
||||
- name: Claude Scholar branch guide
|
||||
url: https://github.com/Galaxy-Dawn/claude-scholar#why-claude-scholar
|
||||
about: Confirm that you are using the correct branch for Claude Code, Codex, or OpenCode.
|
||||
65
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/docs_problem.yml
vendored
Normal file
65
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/docs_problem.yml
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
name: Documentation problem
|
||||
description: Report outdated, inconsistent, unclear, or incorrect documentation.
|
||||
title: "[Docs]: "
|
||||
labels:
|
||||
- documentation
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this template for documentation issues such as:
|
||||
- wrong commands or paths,
|
||||
- branch-specific instructions that drifted,
|
||||
- unclear wording,
|
||||
- or setup docs that no longer match actual behavior.
|
||||
|
||||
- type: dropdown
|
||||
id: doc_surface
|
||||
attributes:
|
||||
label: Affected document
|
||||
options:
|
||||
- README
|
||||
- MCP_SETUP
|
||||
- OBSIDIAN_SETUP
|
||||
- CLAUDE / AGENTS docs
|
||||
- Skill documentation
|
||||
- Installer instructions
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
id: branch
|
||||
attributes:
|
||||
label: Affected branch
|
||||
options:
|
||||
- main
|
||||
- codex
|
||||
- opencode
|
||||
- multiple branches
|
||||
- unsure
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: location
|
||||
attributes:
|
||||
label: Problematic location
|
||||
description: Quote the current text, command, path, or section title.
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: issue
|
||||
attributes:
|
||||
label: What is wrong
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: suggested_fix
|
||||
attributes:
|
||||
label: Suggested fix
|
||||
description: If you already know the corrected wording or command, propose it here.
|
||||
validations:
|
||||
required: false
|
||||
60
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/workflow_gap.yml
vendored
Normal file
60
文档润色流和知识库构建流/claude-scholar-upstream/.github/ISSUE_TEMPLATE/workflow_gap.yml
vendored
Normal file
@@ -0,0 +1,60 @@
|
||||
name: Workflow gap
|
||||
description: Report a missing, weak, or awkward handoff in a research workflow, even if nothing is technically broken.
|
||||
title: "[Workflow gap]: "
|
||||
labels:
|
||||
- workflow
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this template when Claude Scholar technically works, but the workflow is still incomplete.
|
||||
|
||||
Examples:
|
||||
- the workflow stops too early,
|
||||
- a handoff between stages is weak,
|
||||
- the current output is not enough for real research use,
|
||||
- or an expected research step is missing.
|
||||
|
||||
- type: dropdown
|
||||
id: stage
|
||||
attributes:
|
||||
label: Workflow stage
|
||||
options:
|
||||
- Ideation
|
||||
- Literature review
|
||||
- Zotero / paper intake
|
||||
- Obsidian / project memory
|
||||
- Experiment tracking
|
||||
- Results analysis
|
||||
- Publication artifacts (figures / tables)
|
||||
- Results reporting
|
||||
- Paper writing
|
||||
- Rebuttal / review response
|
||||
- Post-acceptance
|
||||
- Cross-stage handoff
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: gap
|
||||
attributes:
|
||||
label: Current gap
|
||||
description: What is missing, awkward, or incomplete in the current workflow?
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: desired_outcome
|
||||
attributes:
|
||||
label: Desired outcome
|
||||
description: What should Claude Scholar help you produce, decide, or hand off here?
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
id: example
|
||||
attributes:
|
||||
label: Concrete example
|
||||
description: Provide a representative prompt, artifact path, or research situation.
|
||||
validations:
|
||||
required: true
|
||||
29
文档润色流和知识库构建流/claude-scholar-upstream/.github/PULL_REQUEST_TEMPLATE.md
vendored
Normal file
29
文档润色流和知识库构建流/claude-scholar-upstream/.github/PULL_REQUEST_TEMPLATE.md
vendored
Normal file
@@ -0,0 +1,29 @@
|
||||
## Summary
|
||||
- What changed?
|
||||
- Why did it change?
|
||||
|
||||
## Affected surfaces
|
||||
- [ ] main
|
||||
- [ ] codex
|
||||
- [ ] opencode
|
||||
- [ ] README / docs
|
||||
- [ ] installer
|
||||
- [ ] skills
|
||||
- [ ] agents
|
||||
- [ ] hooks
|
||||
- [ ] MCP / Obsidian docs
|
||||
|
||||
## Validation
|
||||
- [ ] Relevant docs were updated if behavior changed
|
||||
- [ ] No machine-specific private paths were introduced
|
||||
- [ ] No branch-specific path or config leaked into the wrong branch
|
||||
- [ ] Basic validation or smoke test was run
|
||||
|
||||
## Behavior change note
|
||||
If this PR changes user-facing behavior, briefly describe:
|
||||
- previous behavior
|
||||
- new behavior
|
||||
- any migration or manual merge note
|
||||
|
||||
## Evidence
|
||||
Include screenshots, terminal output, example artifacts, or acceptance notes when useful.
|
||||
58
文档润色流和知识库构建流/claude-scholar-upstream/.github/workflows/installer_smoke.yml
vendored
Normal file
58
文档润色流和知识库构建流/claude-scholar-upstream/.github/workflows/installer_smoke.yml
vendored
Normal file
@@ -0,0 +1,58 @@
|
||||
name: installer-smoke
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
push:
|
||||
branches:
|
||||
- main
|
||||
- codex
|
||||
- opencode
|
||||
|
||||
jobs:
|
||||
installer-smoke:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Verify installer entrypoints exist
|
||||
run: |
|
||||
set -euo pipefail
|
||||
test -f scripts/setup.sh
|
||||
test -f scripts/uninstall.sh
|
||||
test -f scripts/test_install_uninstall.sh
|
||||
test -f README.md
|
||||
test -f README.zh-CN.md
|
||||
test -f README.ja-JP.md
|
||||
|
||||
- name: Syntax check installer scripts
|
||||
run: bash -n scripts/setup.sh
|
||||
|
||||
- name: Run install/uninstall smoke tests
|
||||
run: bash scripts/test_install_uninstall.sh
|
||||
|
||||
- name: Verify branch-specific top-level docs exist
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ -f CLAUDE.md ]; then
|
||||
test -f CLAUDE.zh-CN.md
|
||||
test -f CLAUDE.ja-JP.md
|
||||
fi
|
||||
if [ -f AGENTS.md ]; then
|
||||
test -f AGENTS.md
|
||||
fi
|
||||
test -f MCP_SETUP.md
|
||||
test -f MCP_SETUP.zh-CN.md
|
||||
test -f MCP_SETUP.ja-JP.md
|
||||
test -f OBSIDIAN_SETUP.md
|
||||
test -f OBSIDIAN_SETUP.zh-CN.md
|
||||
test -f OBSIDIAN_SETUP.ja-JP.md
|
||||
|
||||
- name: Verify key skills still exist
|
||||
run: |
|
||||
set -euo pipefail
|
||||
test -f skills/research-ideation/SKILL.md
|
||||
test -f skills/results-analysis/SKILL.md
|
||||
test -f skills/results-report/SKILL.md
|
||||
test -f skills/ml-paper-writing/SKILL.md
|
||||
test -f skills/publication-chart-skill/SKILL.md
|
||||
65
文档润色流和知识库构建流/claude-scholar-upstream/.github/workflows/repo_sanity.yml
vendored
Normal file
65
文档润色流和知识库构建流/claude-scholar-upstream/.github/workflows/repo_sanity.yml
vendored
Normal file
@@ -0,0 +1,65 @@
|
||||
name: repo-sanity
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
push:
|
||||
branches:
|
||||
- main
|
||||
- codex
|
||||
- opencode
|
||||
|
||||
jobs:
|
||||
repo-sanity:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Check tracked top-level docs for obvious machine-specific paths
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python3 - <<'PY'
|
||||
import re
|
||||
import subprocess
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
tracked = subprocess.check_output(['git', 'ls-files'], text=True).splitlines()
|
||||
allowed = {
|
||||
'README.md', 'README.zh-CN.md', 'README.ja-JP.md',
|
||||
'CLAUDE.md', 'CLAUDE.zh-CN.md', 'CLAUDE.ja-JP.md',
|
||||
'AGENTS.md',
|
||||
'MCP_SETUP.md', 'MCP_SETUP.zh-CN.md', 'MCP_SETUP.ja-JP.md',
|
||||
'OBSIDIAN_SETUP.md', 'OBSIDIAN_SETUP.zh-CN.md', 'OBSIDIAN_SETUP.ja-JP.md',
|
||||
'settings.json.template',
|
||||
'.github/PULL_REQUEST_TEMPLATE.md',
|
||||
'.github/ISSUE_TEMPLATE/bug_report.yml',
|
||||
'.github/ISSUE_TEMPLATE/workflow_gap.yml',
|
||||
'.github/ISSUE_TEMPLATE/docs_problem.yml',
|
||||
'.github/ISSUE_TEMPLATE/config.yml',
|
||||
}
|
||||
pattern = re.compile(r'/Users/[A-Za-z0-9_.-]+|/home/[A-Za-z0-9_.-]+|[A-Za-z]:\\Users\\[A-Za-z0-9_. -]+')
|
||||
bad = []
|
||||
for rel in tracked:
|
||||
if rel not in allowed:
|
||||
continue
|
||||
try:
|
||||
text = Path(rel).read_text(encoding='utf-8')
|
||||
except Exception:
|
||||
continue
|
||||
if pattern.search(text):
|
||||
bad.append(rel)
|
||||
if bad:
|
||||
print('Found machine-specific paths in:')
|
||||
for rel in bad:
|
||||
print(rel)
|
||||
sys.exit(1)
|
||||
PY
|
||||
|
||||
- name: Check tracked junk files
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if git ls-files | rg '(^|/)(\.DS_Store|Thumbs\.db|desktop\.ini)$'; then
|
||||
echo "Tracked junk files detected."
|
||||
exit 1
|
||||
fi
|
||||
42
文档润色流和知识库构建流/claude-scholar-upstream/.gitignore
vendored
Normal file
42
文档润色流和知识库构建流/claude-scholar-upstream/.gitignore
vendored
Normal file
@@ -0,0 +1,42 @@
|
||||
# Claude Configuration Git Ignore
|
||||
|
||||
# System files
|
||||
.DS_Store
|
||||
Thumbs.db
|
||||
|
||||
# Sensitive and local configuration
|
||||
.env
|
||||
.env.local
|
||||
.mcp.json
|
||||
settings*.json
|
||||
settings*.json.bak
|
||||
*.backup
|
||||
|
||||
# History and session data
|
||||
history.jsonl
|
||||
session-env/
|
||||
shell-snapshots/
|
||||
file-history/
|
||||
|
||||
# Cache and temporary files
|
||||
cache/
|
||||
debug/
|
||||
downloads/
|
||||
ide/
|
||||
logs/
|
||||
paste-cache/
|
||||
todos/
|
||||
|
||||
# Telemetry and statistics
|
||||
telemetry/
|
||||
stats-cache.json
|
||||
statsig/
|
||||
|
||||
# Other temporary files
|
||||
docs/
|
||||
plan/
|
||||
plans/
|
||||
projects/
|
||||
temp/
|
||||
tasks/
|
||||
teams/
|
||||
172
文档润色流和知识库构建流/claude-scholar-upstream/CLAUDE.ja-JP.md
Normal file
172
文档润色流和知识库构建流/claude-scholar-upstream/CLAUDE.ja-JP.md
Normal file
@@ -0,0 +1,172 @@
|
||||
# Claude Scholar コア指示
|
||||
|
||||
## 既定のコミュニケーション Skill
|
||||
|
||||
利用可能な場合は、まず次を読む:
|
||||
|
||||
`~/.codex/skills/expression-skill/SKILL.md`
|
||||
|
||||
インストール済みの `expression-skill` を既定のコミュニケーション層として使う。
|
||||
|
||||
非自明な依頼に答える前に、次の点をこの skill で整える:
|
||||
|
||||
- 結論先行の構成
|
||||
- ユーザーの目的を中心にした回答
|
||||
- 具体的な根拠、path、件数、command、verification
|
||||
- リスク、不確実性、破壊的操作の境界の早期提示
|
||||
- 長時間作業での見える roadmarks
|
||||
- 何を変え、何を変えていないかの明示
|
||||
- 最小で有用な次の一手
|
||||
|
||||
## 役割
|
||||
|
||||
Claude Scholar は、学術研究とソフトウェア開発のための半自動リサーチアシスタントです。
|
||||
|
||||
その役割は、文献整理、コーディング、実験、分析、レポート、執筆、そして長期的なプロジェクト知識の維持を支援することです。研究者の判断を置き換えるものではありません。
|
||||
|
||||
常に人間の意思決定を中心に据えてください。出力は、計画、ノート、実験ログ、分析成果物、レポート、草稿、知識ベース更新のように、ユーザーがそのまま再利用できる形にしてください。
|
||||
|
||||
---
|
||||
|
||||
## コミュニケーション方針
|
||||
|
||||
- 既定では英語で応答する。
|
||||
- ユーザーが中国語を明示的に求める、または明らかに中国語を好む場合のみ中国語を使う。
|
||||
- 技術用語は正確かつ標準的な表現を優先する。
|
||||
- 回答は次の順序を優先する:
|
||||
1. 直接の答え、または実行可能な進め方
|
||||
2. 根拠、または検証方法
|
||||
3. 制約、前提、または次の一手
|
||||
- 簡潔に書く。背景説明が答えを変えないなら付け足さない。
|
||||
- 曖昧な言い回しや内部スラングは避ける。平明な言葉を使う。
|
||||
|
||||
---
|
||||
|
||||
## 書き方の原則
|
||||
|
||||
- Follow the installed `expression-skill` for default wording, response shapes, question policy, and final-answer checks.
|
||||
- 1文ごとに1つの具体的な情報だけを伝える。
|
||||
- 書く前に次を確認する:
|
||||
- 何を正確に伝えたいのか。
|
||||
- それは最も明確な言い方か。
|
||||
- もっと具体的に言えるか。
|
||||
- 有用な情報を増やさない文は削る。
|
||||
- 抽象的な表現より直接的な表現を優先する。
|
||||
- `align`、`close the loop`、`optimize the workflow`、`make it robust` のような曖昧な表現は、具体的な行動を同時に示さない限り使わない。
|
||||
|
||||
---
|
||||
|
||||
## 確認ルール
|
||||
|
||||
- ユーザーの依頼が曖昧なら、実行前に短い確認質問をする。
|
||||
- 妥当な解釈が複数あるときは、黙って1つに決めない。
|
||||
- 低リスクの仮定で進められる場合は、その仮定を短く明示する。
|
||||
|
||||
---
|
||||
|
||||
## 実行の優先順位
|
||||
|
||||
- 主張する前に事実を確認する。
|
||||
- ファイル、コード、ドキュメント、設定を変えたら必ず検証する。
|
||||
- 変更は小さく、巻き戻しやすく、レビューしやすく保つ。
|
||||
- 破壊的または高リスクな操作の前には確認を取る。
|
||||
- 破壊的操作では、削除や上書きの前に対象の file または directory を明示する。
|
||||
- 広範囲な書き換えより、狙いを絞った修正を優先する。
|
||||
- 外部情報、最近の情報、変わりやすい情報については、答える前に現状を確認する。
|
||||
- README、ドキュメント、issue、PR、release note の公開表現は一貫させる。
|
||||
- 長時間コマンドでは黙って待たず、現在の step、処理済み量、output path、次の checkpoint を示す。
|
||||
|
||||
---
|
||||
|
||||
## 計画ルール
|
||||
|
||||
- 非自明なタスクでは、`planning-with-files` を既定の planning / progress tracking の持続層として使う。ただし、永続化なしで終えられるほど十分に小さいタスクは除く。
|
||||
- 複数 step、research、iteration、verification、または context 増大が見込まれるタスクでは、実装前に持続的な planning file を作る。
|
||||
- 既定の file pattern:
|
||||
- `task_plan.md`: phase、status、decision、blocker
|
||||
- `notes.md`: finding、evidence、中間 research
|
||||
- `[deliverable].md`: durable な書面成果物が必要な場合のみ
|
||||
- 自明でないタスクでは、実装前に短く実行可能な計画を書く。
|
||||
- 計画は曖昧なフェーズではなく、具体的な行動を並べる。
|
||||
- 計画に沿って順番に実行する。
|
||||
- 新しい証拠でタスク理解が変わったときだけ計画を修正する。
|
||||
- 範囲が大きいときは優先度で並べる:
|
||||
- `P0`: 今すぐ扱うべきもの
|
||||
- `P1`: このパスで扱うべきもの
|
||||
- `P2`: 後回しでよいもの
|
||||
|
||||
---
|
||||
|
||||
## 最小ルーティング
|
||||
|
||||
タスクが明確に当てはまる場合は、対応するローカル skill または workflow を使う:
|
||||
|
||||
- 複数 step の作業、progress tracking、persistent planning、または context を超えやすいタスク -> `planning-with-files`
|
||||
- 研究立ち上げ、gap analysis、文献計画 -> `research-ideation`
|
||||
- 厳密な実験分析、統計、科学図表 -> `results-analysis`
|
||||
- 実験後レポート、振り返りサマリー -> `results-report`
|
||||
- 論文草稿、学術執筆 -> `ml-paper-writing`
|
||||
- 査読応答、rebuttal 執筆 -> `review-response`
|
||||
- バインド済み研究リポジトリの知識維持 -> `obsidian-project-kb-core`
|
||||
|
||||
コーディング、デバッグ、アーキテクチャ、レビュー、検証のタスクでは、その場しのぎで進めるのではなく、対応する開発系 skill を優先する。
|
||||
|
||||
---
|
||||
|
||||
## バインド済みリポジトリ / Obsidian ルール
|
||||
|
||||
現在のリポジトリが Obsidian のプロジェクト知識ベースにバインドされている場合、`obsidian-project-kb-core` を既定の durable knowledge path として扱う。
|
||||
|
||||
- 既存の canonical note の更新を優先する。
|
||||
- 既定では write-back を軽量に保つ。
|
||||
- まず daily note と project memory を更新する。
|
||||
- hub note は、プロジェクトのトップレベル状態が変わった場合のみ更新する。
|
||||
- 本当に新しい durable object がない限り、重複 note を作らない。
|
||||
- ユーザーが知識ベース更新を明示的に求めた場合、read-only exploration で止まらない。
|
||||
|
||||
---
|
||||
|
||||
## 作業スタイル
|
||||
|
||||
- 新しいやり方を作る前に、既存のローカル skills、commands、workflows を優先する。
|
||||
- 複雑なタスクでは、まず具体的な手順を並べてから実装する。
|
||||
- 複数 step のタスクや複数の tool call をまたぐタスクでは、計画を一時的な context に置くだけでなく、`planning-with-files` で disk に持続化する。
|
||||
- タスクが長い、分岐が多い、または中断しやすい場合は、主要な判断の前に持続 plan を再読する。
|
||||
- 実装後は、最小だが意味のある検証を行う。
|
||||
- subtraction を使う。scope creep を防げるなら、今やる価値がないことも明示する。
|
||||
- 詰まった場合は、正確な blocker と次の unblock action を示す。
|
||||
- 進め方を勧めるときは、どの案を勧めるのか明示し、1-2 個の具体的 tradeoff を添える。
|
||||
- より簡単な説明で足りるなら、内部プロセスの言葉を出さない。
|
||||
- file task では次を正確に報告する:
|
||||
- input path
|
||||
- output path
|
||||
- changed files
|
||||
- untouched files
|
||||
- verification performed
|
||||
|
||||
---
|
||||
|
||||
## 返答形式
|
||||
|
||||
まとまったタスクでは、既定で次の形を使う:
|
||||
|
||||
```text
|
||||
結論：
|
||||
実施内容：
|
||||
確認内容：
|
||||
リスク・制約：
|
||||
次の一手：
|
||||
```
|
||||
|
||||
英語見出しが必要な場合は、最後に短い要約を付ける:
|
||||
|
||||
### 実施内容
|
||||
- 実施した具体的な変更
|
||||
- 影響したファイルや成果物
|
||||
|
||||
### 確認内容
|
||||
- 実行した検証
|
||||
- 現時点で確認できた状態
|
||||
|
||||
### 次の一手
|
||||
- 本当に関連する次の一手だけ
|
||||
172
文档润色流和知识库构建流/claude-scholar-upstream/CLAUDE.md
Normal file
172
文档润色流和知识库构建流/claude-scholar-upstream/CLAUDE.md
Normal file
@@ -0,0 +1,172 @@
|
||||
# Claude Scholar Core Instructions
|
||||
|
||||
## Required Default Communication Skill
|
||||
|
||||
When available, first read:
|
||||
|
||||
`~/.codex/skills/expression-skill/SKILL.md`
|
||||
|
||||
Apply the installed `expression-skill` as the default communication layer.
|
||||
|
||||
Before answering any non-trivial user request, use it to shape the response:
|
||||
|
||||
- conclusion-first structure
|
||||
- user-purpose-centered answers
|
||||
- concrete evidence, paths, counts, commands, and verification
|
||||
- early risk, uncertainty, and destructive-operation boundaries
|
||||
- visible roadmarks for long-running work
|
||||
- exact changed/unchanged file reporting
|
||||
- the smallest useful next step
|
||||
|
||||
## Identity
|
||||
|
||||
Claude Scholar is a semi-automated research assistant for academic research and software development.
|
||||
|
||||
Its job is to help with literature work, coding, experiments, analysis, reporting, writing, and durable project knowledge. It does not replace the researcher's judgment.
|
||||
|
||||
Keep human decisions at the center. Produce artifacts that the user can reuse directly: plans, notes, experiment logs, analysis outputs, reports, drafts, and knowledge-base updates.
|
||||
|
||||
---
|
||||
|
||||
## Communication Defaults
|
||||
|
||||
- Respond in English by default.
|
||||
- Use Chinese only when the user asks for it or clearly prefers it.
|
||||
- Keep technical terms precise and standard.
|
||||
- Prefer this answer order:
|
||||
1. direct answer or executable path,
|
||||
2. evidence or verification,
|
||||
3. limits, assumptions, or next steps.
|
||||
- Be concise. Do not add background unless it changes the answer.
|
||||
- Avoid vague phrases and internal slang. Use plain language.
|
||||
|
||||
---
|
||||
|
||||
## Writing Discipline
|
||||
|
||||
- Follow the installed `expression-skill` for default wording, response shapes, question policy, and final-answer checks.
|
||||
- Make each sentence carry one concrete point.
|
||||
- Before writing, ask:
|
||||
- What exactly am I saying?
|
||||
- Is this the clearest way to say it?
|
||||
- Can I make it more concrete?
|
||||
- Delete sentences that do not add useful information.
|
||||
- Prefer direct wording over abstract wording.
|
||||
- Do not use vague phrases such as "align," "close the loop," "optimize the workflow," or "make it robust" unless you state the concrete action.
|
||||
|
||||
---
|
||||
|
||||
## Clarification Rule
|
||||
|
||||
- If the user's request is ambiguous, ask a short clarifying question before acting.
|
||||
- Do not silently choose one interpretation when multiple reasonable interpretations exist.
|
||||
- If a safe assumption is enough to proceed, state the assumption briefly.
|
||||
|
||||
---
|
||||
|
||||
## Execution Priorities
|
||||
|
||||
- Check facts before making claims.
|
||||
- Verify after changing files, code, documentation, or configuration.
|
||||
- Keep changes small, reversible, and easy to review.
|
||||
- Confirm before destructive or high-risk actions.
|
||||
- For destructive operations, name the exact files or directories before deleting or overwriting.
|
||||
- Prefer targeted edits over broad rewrites.
|
||||
- For external, recent, or unstable information, verify the current state before answering.
|
||||
- Keep public-facing wording consistent across README, docs, issues, PRs, and release notes.
|
||||
- For long-running commands, report the current step, processed amount, output path, and next checkpoint instead of waiting silently.
|
||||
|
||||
---
|
||||
|
||||
## Planning Rule
|
||||
|
||||
- For non-trivial tasks, use `planning-with-files` as the default planning and progress-tracking layer unless the task is clearly small enough to finish without persistence.
|
||||
- For tasks that involve multiple steps, research, iteration, verification, or likely context growth, create persistent planning files before implementation.
|
||||
- Default file pattern:
|
||||
- `task_plan.md` for phases, status, decisions, and blockers
|
||||
- `notes.md` for findings, evidence, and intermediate research
|
||||
- `[deliverable].md` only when a durable written output is part of the task
|
||||
- For non-trivial tasks, write a short executable plan before implementation.
|
||||
- The plan must list concrete actions, not vague phases.
|
||||
- Execute the plan step by step.
|
||||
- Revise the plan only when new evidence changes the task.
|
||||
- Sort work by priority when scope is large:
|
||||
- `P0`: must handle now
|
||||
- `P1`: should handle in this pass
|
||||
- `P2`: can wait
|
||||
|
||||
---
|
||||
|
||||
## Minimal Routing
|
||||
|
||||
Use the matching local skill or workflow when the task clearly fits:
|
||||
|
||||
- Multi-step work, progress tracking, persistent planning, or tasks likely to outgrow context -> `planning-with-files`
|
||||
- Research startup, gap analysis, or literature planning -> `research-ideation`
|
||||
- Strict experiment analysis, statistics, or scientific figures -> `results-analysis`
|
||||
- Post-experiment reporting or retrospective summaries -> `results-report`
|
||||
- Paper drafting or academic writing -> `ml-paper-writing`
|
||||
- Reviewer response or rebuttal writing -> `review-response`
|
||||
- Bound research repo knowledge maintenance -> `obsidian-project-kb-core`
|
||||
|
||||
For coding, debugging, architecture, review, and verification tasks, prefer the matching development skill instead of improvising.
|
||||
|
||||
---
|
||||
|
||||
## Bound Repo / Obsidian Rule
|
||||
|
||||
If the current repository is bound to an Obsidian project knowledge base, treat `obsidian-project-kb-core` as the default durable knowledge path.
|
||||
|
||||
- Prefer updating existing canonical notes.
|
||||
- Keep write-back lightweight by default.
|
||||
- Update the daily note and project memory first.
|
||||
- Update hub notes only when top-level project state changes.
|
||||
- Avoid duplicate notes unless a genuinely new durable object exists.
|
||||
- Do not stop at read-only exploration when the user explicitly asks to update the knowledge base.
|
||||
|
||||
---
|
||||
|
||||
## Work Style
|
||||
|
||||
- Prefer existing local skills, commands, and workflows before inventing a new path.
|
||||
- For complex tasks, list concrete steps first, then implement them.
|
||||
- For tasks that are multi-step or span multiple tool calls, persist the plan to disk with `planning-with-files` instead of keeping the plan only in transient context.
|
||||
- Re-read the persistent plan before major decisions when the task is long, branched, or interruption-prone.
|
||||
- After implementation, run the smallest meaningful verification.
|
||||
- Use subtraction. State what is not worth doing now when it prevents scope creep.
|
||||
- When blocked, state the exact blocker and the next unblock action.
|
||||
- When recommending a path, make the recommendation explicit and explain the tradeoff in one or two concrete points.
|
||||
- Do not expose internal process language when a simpler explanation is enough.
|
||||
- For file tasks, report exactly:
|
||||
- input path
|
||||
- output path
|
||||
- changed files
|
||||
- untouched files
|
||||
- verification performed
|
||||
|
||||
---
|
||||
|
||||
## Delivery Style
|
||||
|
||||
For substantial tasks, use this shape by default:
|
||||
|
||||
```text
|
||||
Conclusion:
|
||||
What I changed:
|
||||
What I checked:
|
||||
Risks / limits:
|
||||
Next step:
|
||||
```
|
||||
|
||||
If English headings are needed, end with a short summary:
|
||||
|
||||
### What I did
|
||||
- Concrete changes made.
|
||||
- Files or artifacts affected.
|
||||
|
||||
### What I checked
|
||||
- Verification performed.
|
||||
- Current confirmed state.
|
||||
|
||||
### Next steps
|
||||
- Only the most relevant next actions.
|
||||
172
文档润色流和知识库构建流/claude-scholar-upstream/CLAUDE.zh-CN.md
Normal file
172
文档润色流和知识库构建流/claude-scholar-upstream/CLAUDE.zh-CN.md
Normal file
@@ -0,0 +1,172 @@
|
||||
# Claude Scholar 核心指令
|
||||
|
||||
## 默认表达 Skill
|
||||
|
||||
在可用时，优先先读取：
|
||||
|
||||
`~/.codex/skills/expression-skill/SKILL.md`
|
||||
|
||||
将已安装的 `expression-skill` 作为默认表达层。
|
||||
|
||||
在回答非简单请求前，用它约束回答方式：
|
||||
|
||||
- 结论先行
|
||||
- 以用户当前目标为中心
|
||||
- 给出具体证据、路径、数量、命令和验证
|
||||
- 尽早说明风险、不确定性和破坏性边界
|
||||
- 对长任务给出可见 roadmarks
|
||||
- 准确说明改了什么、没改什么
|
||||
- 最后给最小有用下一步
|
||||
|
||||
## 身份定位
|
||||
|
||||
Claude Scholar 是一个用于学术研究和软件开发的半自动研究助手。
|
||||
|
||||
它的职责是帮助用户完成文献整理、代码开发、实验、分析、报告、写作和长期项目知识维护。它不替代研究者的判断。
|
||||
|
||||
始终把人的决策放在中心。输出应能被用户直接复用，例如计划、笔记、实验日志、分析产物、报告、草稿和知识库更新。
|
||||
|
||||
---
|
||||
|
||||
## 沟通默认规则
|
||||
|
||||
- 默认使用英文回答。
|
||||
- 当用户明确要求中文，或明显偏好中文时，使用中文。
|
||||
- 技术术语应准确，并优先使用标准英文术语。
|
||||
- 回答优先采用这个顺序：
|
||||
1. 直接答案或可执行路径，
|
||||
2. 证据或验证方式，
|
||||
3. 限制、假设或下一步。
|
||||
- 保持简洁。除非背景信息会改变答案，否则不要额外展开。
|
||||
- 避免模糊表达和内部黑话。使用直接、清楚的语言。
|
||||
|
||||
---
|
||||
|
||||
## 写作纪律
|
||||
|
||||
- Follow the installed `expression-skill` for default wording, response shapes, question policy, and final-answer checks.
|
||||
- 每句话只表达一个具体信息点。
|
||||
- 写之前先问自己：
|
||||
- 我具体想说什么？
|
||||
- 这是最清楚的说法吗？
|
||||
- 能不能说得更具体？
|
||||
- 删除不能提供有用信息的句子。
|
||||
- 优先使用直接表达，不使用抽象包装。
|
||||
- 不要使用“align”“close the loop”“optimize the workflow”“make it robust”等模糊说法，除非同时说明具体动作。
|
||||
|
||||
---
|
||||
|
||||
## 澄清规则
|
||||
|
||||
- 如果用户请求有歧义，先问一个简短的澄清问题。
|
||||
- 当存在多个合理解释时，不要默默选择其中一个。
|
||||
- 如果可以基于低风险假设继续执行，应简短说明该假设。
|
||||
|
||||
---
|
||||
|
||||
## 执行优先级
|
||||
|
||||
- 先核对事实，再给结论。
|
||||
- 修改文件、代码、文档或配置后，要做验证。
|
||||
- 改动应小、可回滚、易审查。
|
||||
- 在执行破坏性或高风险操作前先确认。
|
||||
- 对破坏性操作，删除或覆盖前要点名具体文件或目录。
|
||||
- 优先做目标明确的修改，避免大范围重写。
|
||||
- 对外部、近期或可能变化的信息，回答前先确认当前状态。
|
||||
- README、文档、issue、PR 和 release note 中的公开表述应保持一致。
|
||||
- 对长时间运行的命令，不要静默等待；要汇报当前步骤、已处理数量、输出路径和下一个检查点。
|
||||
|
||||
---
|
||||
|
||||
## 计划规则
|
||||
|
||||
- 对非简单任务，默认将 `planning-with-files` 作为 planning 和 progress tracking 的持久层，除非任务明显足够小，不需要落盘。
|
||||
- 对涉及多步骤、research、iteration、verification 或明显会让上下文增长的任务，执行前先创建持久 planning 文件。
|
||||
- 默认文件模式：
|
||||
- `task_plan.md`：记录 phases、status、decisions 和 blockers
|
||||
- `notes.md`：记录 findings、evidence 和中间 research
|
||||
- `[deliverable].md`：仅当任务本身需要长期书面交付物时再创建
|
||||
- 对非简单任务，先写一个简短、可执行的计划。
|
||||
- 计划必须列出具体动作，而不是模糊阶段。
|
||||
- 按计划逐步执行。
|
||||
- 只有当新证据改变任务时，才修改计划。
|
||||
- 当范围较大时，用优先级排序：
|
||||
- `P0`：现在必须处理
|
||||
- `P1`：这一轮应该处理
|
||||
- `P2`：可以稍后处理
|
||||
|
||||
---
|
||||
|
||||
## 最小路由规则
|
||||
|
||||
当任务明确匹配时，优先使用对应的本地 skill 或工作流：
|
||||
|
||||
- 多步骤任务、progress tracking、persistent planning，或明显会超出上下文窗口的任务 -> `planning-with-files`
|
||||
- 研究启动、gap analysis、文献规划 -> `research-ideation`
|
||||
- 严格实验分析、统计、科研图表 -> `results-analysis`
|
||||
- 实验后报告、复盘总结 -> `results-report`
|
||||
- 论文草稿、学术写作 -> `ml-paper-writing`
|
||||
- 审稿回复、rebuttal 写作 -> `review-response`
|
||||
- 已绑定研究仓库的知识维护 -> `obsidian-project-kb-core`
|
||||
|
||||
对于编码、调试、架构、代码审查和验证任务，优先使用对应的开发类 skill，而不是临时 improvising。
|
||||
|
||||
---
|
||||
|
||||
## 已绑定仓库 / Obsidian 规则
|
||||
|
||||
如果当前仓库已绑定 Obsidian 项目知识库，将 `obsidian-project-kb-core` 视为默认的长期知识维护路径。
|
||||
|
||||
- 优先更新已有 canonical note。
|
||||
- 默认保持轻量写回。
|
||||
- 先更新 daily note 和 project memory。
|
||||
- 只有项目顶层状态发生变化时，才更新 hub note。
|
||||
- 除非确实出现新的长期对象，否则避免创建重复 note。
|
||||
- 如果用户明确要求更新知识库，不要停留在只读探索。
|
||||
|
||||
---
|
||||
|
||||
## 工作方式
|
||||
|
||||
- 优先使用已有本地 skills、commands 和 workflows，再考虑新路径。
|
||||
- 对复杂任务，先列具体步骤，再执行。
|
||||
- 对多步骤任务或会跨多个 tool calls 的任务，不要只把计划留在瞬时上下文里；用 `planning-with-files` 将计划持久化到磁盘。
|
||||
- 当任务较长、分支较多或可能中断时，在重大决策前回读持久 plan。
|
||||
- 实施后运行最小但有意义的验证。
|
||||
- 使用 subtraction。能防止 scope creep 时，要明确说明哪些事现在不值得做。
|
||||
- 如果被阻塞，说明具体阻塞点，以及下一步怎么解除阻塞。
|
||||
- 给建议时，明确推荐哪条路径，并用一两条具体点说明 tradeoff。
|
||||
- 可以用简单表达时，不要暴露内部流程语言。
|
||||
- 对文件任务，要准确汇报：
|
||||
- input path
|
||||
- output path
|
||||
- changed files
|
||||
- untouched files
|
||||
- verification performed
|
||||
|
||||
---
|
||||
|
||||
## 交付格式
|
||||
|
||||
对于较完整的任务，默认用这个结构：
|
||||
|
||||
```text
|
||||
结论：
|
||||
我做了：
|
||||
我检查了：
|
||||
风险/限制：
|
||||
下一步建议：
|
||||
```
|
||||
|
||||
如果需要英文标题，再用简短总结：
|
||||
|
||||
### 我做了什么
|
||||
- 具体改动。
|
||||
- 受影响的文件或产物。
|
||||
|
||||
### 我检查了什么
|
||||
- 执行过的验证。
|
||||
- 当前确认的状态。
|
||||
|
||||
### 下一步
|
||||
- 只列真正相关的下一步。
|
||||
21
文档润色流和知识库构建流/claude-scholar-upstream/LICENSE
Normal file
21
文档润色流和知识库构建流/claude-scholar-upstream/LICENSE
Normal file
@@ -0,0 +1,21 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2026 Gaorui Zhang
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
BIN
文档润色流和知识库构建流/claude-scholar-upstream/LOGO.png
Normal file
BIN
文档润色流和知识库构建流/claude-scholar-upstream/LOGO.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.8 MiB |
190
文档润色流和知识库构建流/claude-scholar-upstream/MCP_SETUP.ja-JP.md
Normal file
190
文档润色流和知识库构建流/claude-scholar-upstream/MCP_SETUP.ja-JP.md
Normal file
@@ -0,0 +1,190 @@
|
||||
# MCPサーバー セットアップガイド
|
||||
|
||||
Claude Scholarは拡張機能のためにMCP（Model Context Protocol）サーバーを利用します。MCPサーバーはこのリポジトリには**含まれていません** — ユーザーが個別にインストールおよび設定する必要があります。
|
||||
|
||||
## 必須MCPサーバー
|
||||
|
||||
### 1. Zotero MCP（研究ワークフロー）
|
||||
|
||||
**使用先**: `literature-reviewer`エージェント、`/research-init`、`/zotero-review`、`/zotero-notes`コマンド
|
||||
|
||||
**パッケージ**: [Galaxy-Dawn/zotero-mcp](https://github.com/Galaxy-Dawn/zotero-mcp) — ローカルZoteroデスクトップとWeb APIモードを自動検出。Web認証情報はリモートアクセスまたは書き込みツールの場合にのみ必要。
|
||||
|
||||
#### 機能
|
||||
|
||||
| カテゴリ | ツール |
|
||||
|---------|-------|
|
||||
| **インポート** | `zotero_add_items_by_doi`, `zotero_add_items_by_arxiv`, `zotero_add_item_by_url` |
|
||||
| **読み取り** | `zotero_get_collections`, `zotero_get_collection_items`, `zotero_search_items`, `zotero_semantic_search` |
|
||||
| **更新** | `zotero_update_item`, `zotero_update_note`, `zotero_create_collection`, `zotero_move_items_to_collection` |
|
||||
| **削除** | `zotero_delete_items`（ゴミ箱へ移動）, `zotero_delete_collection` |
|
||||
| **PDF** | `zotero_find_and_attach_pdfs`（Unpaywall経由）, `zotero_add_linked_url_attachment` |
|
||||
|
||||
#### 前提条件
|
||||
|
||||
1. Web API認証情報なしでローカル読み取り専用アクセスを行う場合は[Zotero](https://www.zotero.org/)をインストール
|
||||
2. 書き込みツールまたはリモートWeb APIアクセスの場合は、[Zotero設定 -> セキュリティ -> アプリケーション](https://www.zotero.org/settings/security#applications)を開く
|
||||
3. `Create new private key`をクリックしてAPIキーを生成
|
||||
4. 同じページでボタンの下に表示される`User ID`をコピー。個人ライブラリの場合、この数値を`ZOTERO_LIBRARY_ID`として使用
|
||||
|
||||
#### インストール
|
||||
|
||||
```bash
|
||||
# uv経由でインストール（推奨）
|
||||
uv tool install git+https://github.com/Galaxy-Dawn/zotero-mcp.git
|
||||
```
|
||||
|
||||
#### 設定
|
||||
|
||||
以下からプラットフォームを選択してください:
|
||||
|
||||
##### Claude Code
|
||||
|
||||
Claude Code v2.1.5以降の場合、`~/.claude.json`の`mcpServers`に追加。
|
||||
|
||||
それ以前のバージョンの場合、`~/.claude/settings.json`の`mcpServers`に追加:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"zotero": {
|
||||
"command": "zotero-mcp",
|
||||
"args": ["serve"],
|
||||
"env": {
|
||||
"ZOTERO_API_KEY": "your-api-key",
|
||||
"ZOTERO_LIBRARY_ID": "your-user-id",
|
||||
"ZOTERO_LIBRARY_TYPE": "user",
|
||||
"UNPAYWALL_EMAIL": "your-email@example.com",
|
||||
"UNSAFE_OPERATIONS": "all"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
##### Codex CLI
|
||||
|
||||
`~/.codex/config.toml`に追加:
|
||||
|
||||
```toml
|
||||
[mcp_servers.zotero]
|
||||
command = "zotero-mcp"
|
||||
args = ["serve"]
|
||||
enabled = true
|
||||
|
||||
[mcp_servers.zotero.env]
|
||||
ZOTERO_API_KEY = "your-api-key"
|
||||
ZOTERO_LIBRARY_ID = "your-user-id"
|
||||
ZOTERO_LIBRARY_TYPE = "user"
|
||||
UNPAYWALL_EMAIL = "your-email@example.com"
|
||||
UNSAFE_OPERATIONS = "all"
|
||||
NO_PROXY = "localhost,127.0.0.1"
|
||||
```
|
||||
|
||||
##### OpenCode
|
||||
|
||||
`~/.opencode/opencode.jsonc`に追加:
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"mcp": {
|
||||
"zotero": {
|
||||
"type": "local",
|
||||
"command": ["zotero-mcp", "serve"],
|
||||
"enabled": true
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
次に`~/.zshrc`で環境変数を設定:
|
||||
|
||||
```bash
|
||||
# Zotero MCP
|
||||
export ZOTERO_API_KEY="your-api-key"
|
||||
export ZOTERO_LIBRARY_ID="your-user-id"
|
||||
export ZOTERO_LIBRARY_TYPE="user"
|
||||
export UNPAYWALL_EMAIL="your-email@example.com"
|
||||
export UNSAFE_OPERATIONS="all"
|
||||
```
|
||||
|
||||
#### 環境変数
|
||||
|
||||
| 変数 | 必須 | 説明 |
|
||||
|------|-----|------|
|
||||
| `ZOTERO_API_KEY` | ローカル読み取り専用: 不要、Web/書き込みツール: 必要 | Zotero APIキー |
|
||||
| `ZOTERO_LIBRARY_ID` | ローカル読み取り専用: 不要、Web/書き込みツール: 必要 | 個人ライブラリ用のZotero `User ID`（数値） |
|
||||
| `ZOTERO_LIBRARY_TYPE` | 必要 | `user`または`group` |
|
||||
| `UNPAYWALL_EMAIL` | 不要 | Unpaywall PDF検索用メールアドレス |
|
||||
| `UNSAFE_OPERATIONS` | 不要 | `items`（delete_items）、`all`（delete_collection） |
|
||||
| `NO_PROXY` | 不要 | localhostのプロキシをバイパス |
|
||||
|
||||
注意:
|
||||
- 最小限のローカルセットアップは`command = "zotero-mcp"`と`args = ["serve"]`のみです。
|
||||
- 本番設定に`your-api-key`、`your-user-id`、`your-email@example.com`などのプレースホルダー値を残さないでください。
|
||||
|
||||
#### 利用可能なツール
|
||||
|
||||
| ツール | 用途 |
|
||||
|-------|------|
|
||||
| `zotero_get_collections` | 全コレクションを一覧表示 |
|
||||
| `zotero_get_collection_items` | コレクション内のアイテムを取得 |
|
||||
| `zotero_search_items` | キーワードでライブラリを検索 |
|
||||
| `zotero_search_by_tag` | タグで検索 |
|
||||
| `zotero_get_item_metadata` | アイテムのメタデータとアブストラクトを取得 |
|
||||
| `zotero_get_item_fulltext` | PDFフルテキストを読解 |
|
||||
| `zotero_get_annotations` | PDFアノテーションを取得 |
|
||||
| `zotero_get_notes` | ノートを取得 |
|
||||
| `zotero_semantic_search` | セマンティック検索（埋め込みを使用） |
|
||||
| `zotero_advanced_search` | 高度な検索 |
|
||||
| `zotero_add_items_by_doi` | DOIで論文をインポート |
|
||||
| `zotero_add_items_by_arxiv` | arXiv IDでプレプリントをインポート |
|
||||
| `zotero_add_item_by_url` | Webページをアイテムとして保存 |
|
||||
| `zotero_update_item` | アイテムのフィールドを更新 |
|
||||
| `zotero_update_note` | ノートの内容を更新 |
|
||||
| `zotero_create_collection` | コレクションを作成 |
|
||||
| `zotero_move_items_to_collection` | コレクション間でアイテムを移動 |
|
||||
| `zotero_update_collection` | コレクション名を変更 |
|
||||
| `zotero_delete_collection` | コレクションを削除 |
|
||||
| `zotero_delete_items` | アイテムをゴミ箱に移動 |
|
||||
| `zotero_find_and_attach_pdfs` | OA PDFを検索して添付 |
|
||||
| `zotero_add_linked_url_attachment` | リンクURL添付ファイルを追加 |
|
||||
|
||||
### 2. ブラウザオートメーションMCP（任意）
|
||||
|
||||
用途: Chromeブラウザ制御、Webページインタラクション。
|
||||
|
||||
#### 設定
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"streamable-mcp-server": {
|
||||
"type": "streamable-http",
|
||||
"url": "http://127.0.0.1:12306/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 検証
|
||||
|
||||
設定後、CLIを再起動してMCPサーバーの接続を確認:
|
||||
|
||||
```
|
||||
# Zoteroの例:
|
||||
> List my Zotero collections
|
||||
|
||||
```
|
||||
|
||||
ツールがデータ（例: コレクション）を返せば、セットアップは完了です。
|
||||
|
||||
## トラブルシューティング
|
||||
|
||||
| 問題 | 解決方法 |
|
||||
|------|---------|
|
||||
| ツールがエラーを返す | APIキーとライブラリIDが正しいか確認 |
|
||||
| PDF添付が失敗する | `UNPAYWALL_EMAIL`が設定されているか確認 |
|
||||
| 削除操作がブロックされる | `UNSAFE_OPERATIONS=items`または`all`を設定 |
|
||||
| HTTPエラー | `NO_PROXY`にlocalhostが含まれているか確認 |
|
||||
| APIレート制限（429） | 一度に10件以下の論文をバッチ処理し、バッチ間に遅延を追加 |
|
||||
194
文档润色流和知识库构建流/claude-scholar-upstream/MCP_SETUP.md
Normal file
194
文档润色流和知识库构建流/claude-scholar-upstream/MCP_SETUP.md
Normal file
@@ -0,0 +1,194 @@
|
||||
# MCP Server Setup Guide
|
||||
|
||||
Claude Scholar relies on MCP (Model Context Protocol) servers for extended capabilities. MCP servers are **not included** in this repository — users must install and configure them separately.
|
||||
|
||||
## Required MCP Servers
|
||||
|
||||
### 1. Zotero MCP (Research Workflow)
|
||||
|
||||
**Used by**: `literature-reviewer` agent, `/research-init`, `/zotero-review`, `/zotero-notes` commands
|
||||
|
||||
**Package**: [Galaxy-Dawn/zotero-mcp](https://github.com/Galaxy-Dawn/zotero-mcp) — auto-detects local Zotero desktop vs Web API mode; Web credentials are only required for remote access or write tools.
|
||||
|
||||
#### Features
|
||||
|
||||
| Category | Tools |
|
||||
|----------|-------|
|
||||
| **Import** | `zotero_add_items_by_identifier`, `zotero_add_items_by_doi`, `zotero_add_items_by_arxiv`, `zotero_add_item_by_url` |
|
||||
| **Read** | `zotero_get_collections`, `zotero_get_collection_items`, `zotero_search_items`, `zotero_semantic_search` |
|
||||
| **Update** | `zotero_update_item`, `zotero_update_note`, `zotero_create_collection`, `zotero_move_items_to_collection`, `zotero_reconcile_collection_duplicates` |
|
||||
| **Delete** | `zotero_delete_items` (to trash), `zotero_delete_collection` |
|
||||
| **PDF** | `zotero_find_and_attach_pdfs` (source-aware PDF cascade), `zotero_add_linked_url_attachment` |
|
||||
|
||||
#### Prerequisites
|
||||
|
||||
1. Install [Zotero](https://www.zotero.org/) if you want local read-only access without Web API credentials
|
||||
2. For write tools or remote Web API access, open [Zotero Settings -> Security -> Applications](https://www.zotero.org/settings/security#applications)
|
||||
3. Click `Create new private key` to generate your API key
|
||||
4. On the same page, copy the `User ID` shown below the button. Use this numeric value as `ZOTERO_LIBRARY_ID` for personal libraries
|
||||
|
||||
#### Installation
|
||||
|
||||
```bash
|
||||
# Install via uv (recommended)
|
||||
uv tool install git+https://github.com/Galaxy-Dawn/zotero-mcp.git
|
||||
```
|
||||
|
||||
#### Configuration
|
||||
|
||||
Choose your platform below:
|
||||
|
||||
##### Claude Code
|
||||
|
||||
For Claude Code v2.1.5+, add to your `~/.claude.json` under `mcpServers`.
|
||||
|
||||
For earlier versions, add to your `~/.claude/settings.json` under `mcpServers`:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"zotero": {
|
||||
"command": "zotero-mcp",
|
||||
"args": ["serve"],
|
||||
"env": {
|
||||
"ZOTERO_API_KEY": "your-api-key",
|
||||
"ZOTERO_LIBRARY_ID": "your-user-id",
|
||||
"ZOTERO_LIBRARY_TYPE": "user",
|
||||
"UNPAYWALL_EMAIL": "your-email@example.com",
|
||||
"UNSAFE_OPERATIONS": "all"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
##### Codex CLI
|
||||
|
||||
Add to your `~/.codex/config.toml`:
|
||||
|
||||
```toml
|
||||
[mcp_servers.zotero]
|
||||
command = "zotero-mcp"
|
||||
args = ["serve"]
|
||||
enabled = true
|
||||
|
||||
[mcp_servers.zotero.env]
|
||||
ZOTERO_API_KEY = "your-api-key"
|
||||
ZOTERO_LIBRARY_ID = "your-user-id"
|
||||
ZOTERO_LIBRARY_TYPE = "user"
|
||||
UNPAYWALL_EMAIL = "your-email@example.com"
|
||||
UNSAFE_OPERATIONS = "all"
|
||||
NO_PROXY = "localhost,127.0.0.1"
|
||||
```
|
||||
|
||||
##### OpenCode
|
||||
|
||||
Add to your `~/.opencode/opencode.jsonc`:
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"mcp": {
|
||||
"zotero": {
|
||||
"type": "local",
|
||||
"command": ["zotero-mcp", "serve"],
|
||||
"enabled": true
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Then set environment variables in `~/.zshrc`:
|
||||
|
||||
```bash
|
||||
# Zotero MCP
|
||||
export ZOTERO_API_KEY="your-api-key"
|
||||
export ZOTERO_LIBRARY_ID="your-user-id"
|
||||
export ZOTERO_LIBRARY_TYPE="user"
|
||||
export UNPAYWALL_EMAIL="your-email@example.com"
|
||||
export UNSAFE_OPERATIONS="all"
|
||||
```
|
||||
|
||||
#### Environment Variables
|
||||
|
||||
| Variable | Required | Description |
|
||||
|----------|----------|-------------|
|
||||
| `ZOTERO_API_KEY` | No for local read-only; Yes for Web/write tools | Your Zotero API key |
|
||||
| `ZOTERO_LIBRARY_ID` | No for local read-only; Yes for Web/write tools | Your Zotero `User ID` (numeric) for personal libraries |
|
||||
| `ZOTERO_LIBRARY_TYPE` | Yes | `user` or `group` |
|
||||
| `UNPAYWALL_EMAIL` | No | Email for Unpaywall PDF search |
|
||||
| `UNSAFE_OPERATIONS` | No | `items` (delete_items), `all` (delete_collection) |
|
||||
| `NO_PROXY` | No | Bypass proxy for localhost |
|
||||
|
||||
Notes:
|
||||
- The minimal local setup is just `command = "zotero-mcp"` plus `args = ["serve"]`.
|
||||
- Do not leave placeholder values such as `your-api-key`, `your-user-id`, or `your-email@example.com` in your live config.
|
||||
|
||||
#### Available Tools
|
||||
|
||||
| Tool | Purpose |
|
||||
|------|---------|
|
||||
| `zotero_get_collections` | List all collections |
|
||||
| `zotero_get_collection_items` | Get items in a collection |
|
||||
| `zotero_search_items` | Search library by keyword |
|
||||
| `zotero_search_by_tag` | Search by tag |
|
||||
| `zotero_get_item_metadata` | Get item metadata and abstract |
|
||||
| `zotero_get_item_fulltext` | Read PDF full text |
|
||||
| `zotero_get_annotations` | Get PDF annotations |
|
||||
| `zotero_get_notes` | Get notes |
|
||||
| `zotero_semantic_search` | Semantic search (uses embeddings) |
|
||||
| `zotero_advanced_search` | Advanced search |
|
||||
| `zotero_add_items_by_identifier` | Smart paper import from DOI, arXiv, landing pages, or direct PDF URLs; when web upload hits storage quota and Zotero Desktop is running, it can fall back to a local connector copy (`pdf_source=local_zotero_copy`) or reuse an existing local copy (`pdf_source=local_zotero_existing_copy`), exposing `local_item_key=...` when available |
|
||||
| `zotero_add_items_by_doi` | Import papers by DOI |
|
||||
| `zotero_add_items_by_arxiv` | Import preprints by arXiv ID |
|
||||
| `zotero_add_item_by_url` | Save webpage as item |
|
||||
| `zotero_update_item` | Update item fields |
|
||||
| `zotero_update_note` | Update note content |
|
||||
| `zotero_create_collection` | Create collection |
|
||||
| `zotero_move_items_to_collection` | Move items between collections |
|
||||
| `zotero_update_collection` | Rename collection |
|
||||
| `zotero_delete_collection` | Delete collection |
|
||||
| `zotero_delete_items` | Move items to trash |
|
||||
| `zotero_find_and_attach_pdfs` | Re-run the source-aware PDF cascade for existing items |
|
||||
| `zotero_reconcile_collection_duplicates` | Post-import dedupe and collection-level cleanup |
|
||||
| `zotero_add_linked_url_attachment` | Add linked URL attachment |
|
||||
|
||||
Workflow note: Claude Scholar's current research startup path prefers `zotero_add_items_by_identifier` for import, then `zotero_reconcile_collection_duplicates` as the standard post-import cleanup. Import ledger and local-copy reconcile remain internal diagnostics rather than default public MCP tools.
|
||||
|
||||
### 2. Browser Automation MCP (Optional)
|
||||
|
||||
Used for: Chrome browser control, web page interaction.
|
||||
|
||||
#### Configuration
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"streamable-mcp-server": {
|
||||
"type": "streamable-http",
|
||||
"url": "http://127.0.0.1:12306/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Verification
|
||||
|
||||
After configuration, restart your CLI and verify MCP servers are connected:
|
||||
|
||||
```
|
||||
# Zotero example:
|
||||
> List my Zotero collections
|
||||
|
||||
```
|
||||
|
||||
If the tool responds with your data (for example collections), the setup is complete.
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
| Issue | Solution |
|
||||
|-------|----------|
|
||||
| Tools return error | Check API key and library ID are correct |
|
||||
| PDF attach fails | Ensure `UNPAYWALL_EMAIL` is set |
|
||||
| Delete operations blocked | Set `UNSAFE_OPERATIONS=items` or `all` |
|
||||
| HTTP errors | Check `NO_PROXY` includes localhost |
|
||||
| API rate limit (429) | Batch ≤10 papers at a time, add delays between batches |
|
||||
194
文档润色流和知识库构建流/claude-scholar-upstream/MCP_SETUP.zh-CN.md
Normal file
194
文档润色流和知识库构建流/claude-scholar-upstream/MCP_SETUP.zh-CN.md
Normal file
@@ -0,0 +1,194 @@
|
||||
# MCP 服务配置指南
|
||||
|
||||
Claude Scholar 依赖 MCP（Model Context Protocol）服务器提供扩展能力。MCP 服务器**不包含**在本仓库中，用户需自行安装和配置。
|
||||
|
||||
## 所需 MCP 服务
|
||||
|
||||
### 1. Zotero MCP（研究工作流）
|
||||
|
||||
**使用场景**: `literature-reviewer` agent、`/research-init`、`/zotero-review`、`/zotero-notes` 命令
|
||||
|
||||
**安装包**: [Galaxy-Dawn/zotero-mcp](https://github.com/Galaxy-Dawn/zotero-mcp) — 可自动识别本地 Zotero desktop 与 Web API 模式；只有远程访问或写操作时才需要 Web 凭证。
|
||||
|
||||
#### 功能
|
||||
|
||||
| 类别 | 工具 |
|
||||
|------|------|
|
||||
| **导入** | `zotero_add_items_by_identifier`, `zotero_add_items_by_doi`, `zotero_add_items_by_arxiv`, `zotero_add_item_by_url` |
|
||||
| **读取** | `zotero_get_collections`, `zotero_get_collection_items`, `zotero_search_items`, `zotero_semantic_search` |
|
||||
| **更新** | `zotero_update_item`, `zotero_update_note`, `zotero_create_collection`, `zotero_move_items_to_collection`, `zotero_reconcile_collection_duplicates` |
|
||||
| **删除** | `zotero_delete_items`（移至回收站）, `zotero_delete_collection` |
|
||||
| **PDF** | `zotero_find_and_attach_pdfs`（基于来源感知的 PDF cascade）, `zotero_add_linked_url_attachment` |
|
||||
|
||||
#### 前置条件
|
||||
|
||||
1. 如果你希望在没有 Web API 凭证的情况下使用本地只读能力，请安装 [Zotero](https://www.zotero.org/)
|
||||
2. 如果你要使用写操作或远程 Web API，请打开 [Zotero 设置 -> Security -> Applications](https://www.zotero.org/settings/security#applications)
|
||||
3. 点击 `Create new private key` 生成 API key
|
||||
4. 在同一页面按钮下方可以看到 `User ID`，个人库场景下这个数字就是 `ZOTERO_LIBRARY_ID`
|
||||
|
||||
#### 安装
|
||||
|
||||
```bash
|
||||
# 通过 uv 安装（推荐）
|
||||
uv tool install git+https://github.com/Galaxy-Dawn/zotero-mcp.git
|
||||
```
|
||||
|
||||
#### 配置
|
||||
|
||||
选择您的平台：
|
||||
|
||||
##### Claude Code
|
||||
|
||||
Claude Code v2.1.5+：在 `~/.claude.json` 的 `mcpServers` 中添加。
|
||||
|
||||
更早版本：在 `~/.claude/settings.json` 的 `mcpServers` 中添加：
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"zotero": {
|
||||
"command": "zotero-mcp",
|
||||
"args": ["serve"],
|
||||
"env": {
|
||||
"ZOTERO_API_KEY": "your-api-key",
|
||||
"ZOTERO_LIBRARY_ID": "your-user-id",
|
||||
"ZOTERO_LIBRARY_TYPE": "user",
|
||||
"UNPAYWALL_EMAIL": "your-email@example.com",
|
||||
"UNSAFE_OPERATIONS": "all"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
##### Codex CLI
|
||||
|
||||
在 `~/.codex/config.toml` 中添加：
|
||||
|
||||
```toml
|
||||
[mcp_servers.zotero]
|
||||
command = "zotero-mcp"
|
||||
args = ["serve"]
|
||||
enabled = true
|
||||
|
||||
[mcp_servers.zotero.env]
|
||||
ZOTERO_API_KEY = "your-api-key"
|
||||
ZOTERO_LIBRARY_ID = "your-user-id"
|
||||
ZOTERO_LIBRARY_TYPE = "user"
|
||||
UNPAYWALL_EMAIL = "your-email@example.com"
|
||||
UNSAFE_OPERATIONS = "all"
|
||||
NO_PROXY = "localhost,127.0.0.1"
|
||||
```
|
||||
|
||||
##### OpenCode
|
||||
|
||||
在 `~/.opencode/opencode.jsonc` 中添加：
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"mcp": {
|
||||
"zotero": {
|
||||
"type": "local",
|
||||
"command": ["zotero-mcp", "serve"],
|
||||
"enabled": true
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
然后在 `~/.zshrc` 中设置环境变量：
|
||||
|
||||
```bash
|
||||
# Zotero MCP
|
||||
export ZOTERO_API_KEY="your-api-key"
|
||||
export ZOTERO_LIBRARY_ID="your-user-id"
|
||||
export ZOTERO_LIBRARY_TYPE="user"
|
||||
export UNPAYWALL_EMAIL="your-email@example.com"
|
||||
export UNSAFE_OPERATIONS="all"
|
||||
```
|
||||
|
||||
#### 环境变量
|
||||
|
||||
| 变量 | 必需 | 说明 |
|
||||
|------|------|------|
|
||||
| `ZOTERO_API_KEY` | 本地只读可不填；Web/写操作必填 | 您的 Zotero API 密钥 |
|
||||
| `ZOTERO_LIBRARY_ID` | 本地只读可不填；Web/写操作必填 | 个人库场景下填写 Zotero 页面显示的 `User ID`（数字） |
|
||||
| `ZOTERO_LIBRARY_TYPE` | 是 | `user` 或 `group` |
|
||||
| `UNPAYWALL_EMAIL` | 否 | 用于 Unpaywall PDF 搜索的邮箱 |
|
||||
| `UNSAFE_OPERATIONS` | 否 | `items`（delete_items）, `all`（delete_collection） |
|
||||
| `NO_PROXY` | 否 | 绕过本地代理 |
|
||||
|
||||
说明：
|
||||
- 最小本地配置只需要 `command = "zotero-mcp"` 和 `args = ["serve"]`。
|
||||
- 不要把 `your-api-key`、`your-user-id`、`your-email@example.com` 这类占位符直接保留在正式配置里。
|
||||
|
||||
#### 可用工具
|
||||
|
||||
| 工具 | 功能 |
|
||||
|------|------|
|
||||
| `zotero_get_collections` | 列出所有集合 |
|
||||
| `zotero_get_collection_items` | 获取集合中的条目 |
|
||||
| `zotero_search_items` | 按关键词搜索库 |
|
||||
| `zotero_search_by_tag` | 按标签搜索 |
|
||||
| `zotero_get_item_metadata` | 获取条目元数据和摘要 |
|
||||
| `zotero_get_item_fulltext` | 读取 PDF 全文 |
|
||||
| `zotero_get_annotations` | 获取 PDF 标注 |
|
||||
| `zotero_get_notes` | 获取笔记 |
|
||||
| `zotero_semantic_search` | 语义搜索（使用嵌入向量） |
|
||||
| `zotero_advanced_search` | 高级搜索 |
|
||||
| `zotero_add_items_by_identifier` | 通过 DOI、arXiv、落地页或直链 PDF 智能导入论文；若 Web 上传撞到存储配额且本地 Zotero Desktop 正在运行，可回退为本地 connector copy（`pdf_source=local_zotero_copy`），或复用已有本地副本（`pdf_source=local_zotero_existing_copy`），并在可用时返回 `local_item_key=...` |
|
||||
| `zotero_add_items_by_doi` | 通过 DOI 导入论文 |
|
||||
| `zotero_add_items_by_arxiv` | 通过 arXiv ID 导入预印本 |
|
||||
| `zotero_add_item_by_url` | 将网页保存为条目 |
|
||||
| `zotero_update_item` | 更新条目字段 |
|
||||
| `zotero_update_note` | 更新笔记内容 |
|
||||
| `zotero_create_collection` | 创建集合 |
|
||||
| `zotero_move_items_to_collection` | 在集合间移动条目 |
|
||||
| `zotero_update_collection` | 重命名集合 |
|
||||
| `zotero_delete_collection` | 删除集合 |
|
||||
| `zotero_delete_items` | 将条目移至回收站 |
|
||||
| `zotero_find_and_attach_pdfs` | 为已有条目重新运行来源感知 PDF cascade |
|
||||
| `zotero_reconcile_collection_duplicates` | 导入后的去重与 collection 级清理 |
|
||||
| `zotero_add_linked_url_attachment` | 添加链接 URL 附件 |
|
||||
|
||||
工作流说明：Claude Scholar 当前默认使用 `zotero_add_items_by_identifier` 做论文导入，并使用 `zotero_reconcile_collection_duplicates` 作为标准导入后清理步骤。import ledger 与 local-copy reconcile 属于内部诊断能力，不是默认公开 MCP tools。
|
||||
|
||||
### 2. 浏览器自动化 MCP（可选）
|
||||
|
||||
用途: Chrome 浏览器控制、网页交互。
|
||||
|
||||
#### 配置
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"streamable-mcp-server": {
|
||||
"type": "streamable-http",
|
||||
"url": "http://127.0.0.1:12306/mcp"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 验证
|
||||
|
||||
配置完成后，重启您的 CLI 并验证 MCP 服务是否连接：
|
||||
|
||||
```
|
||||
# Zotero 示例：
|
||||
> 列出我的 Zotero 集合
|
||||
|
||||
```
|
||||
|
||||
如果工具返回了数据（如集合列表），说明配置成功。
|
||||
|
||||
## 常见问题
|
||||
|
||||
| 问题 | 解决方案 |
|
||||
|------|---------|
|
||||
| 工具返回错误 | 检查 API 密钥和库 ID 是否正确 |
|
||||
| PDF 附加失败 | 确保已设置 `UNPAYWALL_EMAIL` |
|
||||
| 删除操作被阻止 | 设置 `UNSAFE_OPERATIONS=items` 或 `all` |
|
||||
| HTTP 错误 | 检查 `NO_PROXY` 是否包含 localhost |
|
||||
| API 速率限制 (429) | 每批 ≤10 篇论文，批次间添加延迟 |
|
||||
161
文档润色流和知识库构建流/claude-scholar-upstream/OBSIDIAN_SETUP.ja-JP.md
Normal file
161
文档润色流和知识库构建流/claude-scholar-upstream/OBSIDIAN_SETUP.ja-JP.md
Normal file
@@ -0,0 +1,161 @@
|
||||
# Obsidianプロジェクトナレッジベース セットアップ
|
||||
|
||||
Claude Scholarには、Obsidian研究ナレッジベースワークフローが内蔵されています。MCPやAPIキーは不要です。
|
||||
|
||||
## このワークフローでできること
|
||||
|
||||
Obsidianは単なる論文ライブラリではなく、研究プロジェクトの既定ナレッジレイヤとして扱われます。保存対象は次の通りです。
|
||||
|
||||
- 安定したプロジェクト背景と研究課題
|
||||
- 論文ノートと文献統合
|
||||
- 実験 runbook と結果要約
|
||||
- 日次研究ログ、scratch notes、同期キュー
|
||||
- draft、slides、proposal、rebuttal などの執筆資産
|
||||
- 主作業面に残し続けるべきでない履歴知識
|
||||
|
||||
## Requirements
|
||||
|
||||
### Required
|
||||
- ローカルの Obsidian vault パス
|
||||
- `OBSIDIAN_VAULT_PATH` を環境変数で設定するか、bootstrap 時に明示的に渡すこと
|
||||
|
||||
### Optional
|
||||
- ナビゲーション用に Obsidian Desktop をインストールして開いておくこと
|
||||
- open/search/daily 操作用の `obsidian` CLI
|
||||
- きれいな `obsidian://` リンクや CLI targeting 用の `OBSIDIAN_VAULT_NAME`
|
||||
|
||||
## 内蔵 skills
|
||||
|
||||
Claude Scholar には project-scoped な Obsidian KB workflow が含まれています。
|
||||
|
||||
既定ワークフローの中心は次の skills です。
|
||||
|
||||
- `obsidian-project-kb-core`
|
||||
- `obsidian-source-ingestion`
|
||||
- `obsidian-literature-workflow`
|
||||
- `obsidian-kb-artifacts`
|
||||
- `defuddle`
|
||||
|
||||
既定ワークフローは `.base`、MCP、API サービスに依存しません。既定で自動保守されるグラフ artifact は `Maps/literature.canvas` のみで、追加の `.base` view や project / experiment canvas は explicit-only です。
|
||||
|
||||
## 既定の挙動
|
||||
|
||||
Claude Scholar が `.claude/project-memory/registry.yaml` を含むリポジトリ内で実行されている場合、そのリポジトリを Obsidian プロジェクトナレッジベースにバインド済みとして扱い、既定で更新を行います。
|
||||
|
||||
まだバインドされていなくても、`.git`、`README.md`、`docs/`、`notes/`、`plan/`、`results/`、`outputs/`、`src/`、`scripts/` などから研究リポジトリらしいと判断できる場合は、自動で bootstrap します。
|
||||
|
||||
## Vault 内の既定ディレクトリ構成
|
||||
|
||||
```text
|
||||
Research/{project-slug}/
|
||||
00-Hub.md
|
||||
01-Plan.md
|
||||
02-Index.md
|
||||
Sources/
|
||||
Papers/
|
||||
Web/
|
||||
Docs/
|
||||
Data/
|
||||
Interviews/
|
||||
Notes/
|
||||
Knowledge/
|
||||
Experiments/
|
||||
Results/
|
||||
Reports/
|
||||
Writing/
|
||||
Daily/
|
||||
Maps/
|
||||
Archive/
|
||||
_system/
|
||||
registry.md
|
||||
schema.md
|
||||
lint-report.md
|
||||
```
|
||||
|
||||
よく生成されるファイルは次の通りです。
|
||||
|
||||
- `02-Index.md`
|
||||
- `_system/registry.md`
|
||||
- `_system/schema.md`
|
||||
- `_system/lint-report.md`
|
||||
- `.claude/project-memory/{project_id}.md`
|
||||
- 文献ワークフローで必要な場合の `Maps/literature.canvas`
|
||||
|
||||
## Repo-local binding metadata
|
||||
|
||||
各研究リポジトリは次を持ちます。
|
||||
|
||||
```text
|
||||
.claude/project-memory/
|
||||
registry.yaml
|
||||
{project_id}.md
|
||||
```
|
||||
|
||||
- `registry.yaml` は repo ↔ vault の binding を保持
|
||||
- `{project_id}.md` は assistant-facing な runtime project memory を保持
|
||||
|
||||
## ノート言語
|
||||
|
||||
生成・同期ノートの言語は次の優先順位で決まります。
|
||||
1. `.claude/project-memory/registry.yaml` の project config
|
||||
2. 環境変数 `OBSIDIAN_NOTE_LANGUAGE`
|
||||
3. 既定値 `en`
|
||||
|
||||
注意：`registry.yaml` は repo-local runtime binding file のままです。プロジェクト内で見える source of truth は `_system/registry.md` です。
|
||||
|
||||
## 主なコマンド
|
||||
|
||||
- `/kb-init` — vault-first の project KB を初期化
|
||||
- `/kb-status` — バインド済み KB の状態を要約
|
||||
- `/kb-ingest` — 新しい source material を canonical notes にルーティング
|
||||
- `/kb-log` — 当日の `Daily/` と関連サーフェスを更新
|
||||
- `/kb-sync` — 決定論的な KB メンテナンスと再同期を実行
|
||||
- `/kb-links` — canonical notes 間の wikilink を修復または強化
|
||||
- `/kb-promote` — 安定した内容を canonical note に昇格
|
||||
- `/kb-index` — `02-Index.md` を再生成
|
||||
- `/kb-lint` — 決定論的な KB 健全性チェックを実行し `_system/lint-report.md` を更新
|
||||
- `/kb-archive` — KB オブジェクトを archive、detach、purge、rename する
|
||||
- `/kb-map` — 既定の literature canvas 以外の artifact を明示要求時に生成
|
||||
- `/kb-literature-review` — `Sources/Papers` から文献統合を生成し `Knowledge`、`Writing`、`Maps/literature.canvas` に反映する
|
||||
|
||||
## バインド済み repo の最小メンテナンス面
|
||||
|
||||
リポジトリが `.claude/project-memory/registry.yaml` で既にバインドされている場合、Claude Scholar は保守を保守的に行います。
|
||||
|
||||
- 研究状態が変わったら `Daily/YYYY-MM-DD.md` を確認する
|
||||
- project のトップレベル状態が本当に変わったときだけ `00-Hub.md` を更新する
|
||||
- project 状態が変わったら `.claude/project-memory/{project_id}.md` を更新する
|
||||
- `Knowledge/`、`Experiments/`、`Results/`、`Writing/` は毎回自動で書き換えず agent-first を維持する
|
||||
|
||||
## オプション: Obsidian CLI のインストール
|
||||
|
||||
公式 Obsidian CLI は新しいデスクトップインストーラーに内蔵されています。`obsidian ...` を使うには：
|
||||
|
||||
1. CLI 登録をサポートする Obsidian Desktop を使う
|
||||
2. Obsidian Desktop で `Settings -> General -> Advanced` を開く
|
||||
3. **Command line interface** を有効にする
|
||||
4. macOS では `/Applications/Obsidian.app/Contents/MacOS` を `PATH` に追加する（例: `~/.zprofile`）
|
||||
5. ターミナルを再起動して次で確認する
|
||||
|
||||
```bash
|
||||
obsidian help
|
||||
obsidian search query="diffusion" limit=5
|
||||
```
|
||||
|
||||
`Command line interface is not enabled` と出る場合、シェル側の PATH は正しいが Obsidian アプリ内のトグルがまだオフです。
|
||||
|
||||
## Lifecycle actions
|
||||
|
||||
### Detach
|
||||
- 自動同期を停止する
|
||||
- vault 内容は残す
|
||||
- project memory file も残す
|
||||
|
||||
### Archive
|
||||
- **note archive** は canonical note を `Research/{project-slug}/Archive/` に移動する
|
||||
- **project archive** はプロジェクト全体を `Research/_archived/{project-slug}-{date}/` に移動する
|
||||
- archive は履歴を保持し、project archive では同期も無効化する
|
||||
|
||||
### Purge
|
||||
- binding、project memory、vault 内の project folder を永久削除する
|
||||
- 明示的に永久削除を求められた場合のみ使う
|
||||
233
文档润色流和知识库构建流/claude-scholar-upstream/OBSIDIAN_SETUP.md
Normal file
233
文档润色流和知识库构建流/claude-scholar-upstream/OBSIDIAN_SETUP.md
Normal file
@@ -0,0 +1,233 @@
|
||||
# Obsidian Project Knowledge Base Setup
|
||||
|
||||
Claude Scholar ships with a built-in Obsidian research knowledge-base workflow. It does **not** require MCP or an API key.
|
||||
|
||||
## What this provides
|
||||
|
||||
Obsidian is treated as the default knowledge base for a research project, not just a paper library. A project knowledge base can store:
|
||||
|
||||
- stable project background and research questions
|
||||
- paper notes and literature syntheses
|
||||
- experiment runbooks and result summaries
|
||||
- daily research logs, scratch notes, and sync queues
|
||||
- writing assets such as drafts, slides, proposals, and rebuttal material
|
||||
- archived project knowledge that should not stay on the main working surface
|
||||
|
||||
## Requirements
|
||||
|
||||
### Required
|
||||
- A local Obsidian vault path
|
||||
- `OBSIDIAN_VAULT_PATH` set in your environment, or passed explicitly when bootstrapping a project
|
||||
|
||||
### Optional
|
||||
- Obsidian Desktop installed and open for navigation
|
||||
- `obsidian` CLI available for open/search/daily actions
|
||||
- `OBSIDIAN_VAULT_NAME` for cleaner `obsidian://` links and CLI targeting
|
||||
|
||||
## Built-in skills
|
||||
|
||||
Claude Scholar includes a project-scoped Obsidian KB workflow.
|
||||
|
||||
Most relevant for the default workflow:
|
||||
|
||||
- `obsidian-project-kb-core`
|
||||
- `obsidian-source-ingestion`
|
||||
- `obsidian-literature-workflow`
|
||||
- `obsidian-kb-artifacts`
|
||||
- `defuddle`
|
||||
|
||||
Some optional graph-oriented helpers may still exist in the repo, but the default workflow does **not** depend on `.base`, MCP, or API services. The main default graph artifact is `Maps/literature.canvas`; additional `.base` views or project/experiment canvases are explicit-only.
|
||||
|
||||
## Default behavior
|
||||
|
||||
When Claude Scholar is running inside a repository that contains `.claude/project-memory/registry.yaml`, it should treat the repository as bound to an Obsidian project knowledge base and update it by default.
|
||||
|
||||
If the repository is not yet bound, but it looks like a research project (for example it contains `.git`, `README.md`, `docs/`, `notes/`, `plan/`, `results/`, `outputs/`, `src/`, or `scripts/`), Claude Scholar should bootstrap a project knowledge base automatically.
|
||||
|
||||
## Project structure in the vault
|
||||
|
||||
```text
|
||||
Research/{project-slug}/
|
||||
00-Hub.md
|
||||
01-Plan.md
|
||||
02-Index.md
|
||||
Sources/
|
||||
Papers/
|
||||
Web/
|
||||
Docs/
|
||||
Data/
|
||||
Interviews/
|
||||
Notes/
|
||||
Knowledge/
|
||||
Experiments/
|
||||
Results/
|
||||
Reports/
|
||||
Writing/
|
||||
Daily/
|
||||
Maps/
|
||||
Archive/
|
||||
_system/
|
||||
registry.md
|
||||
schema.md
|
||||
lint-report.md
|
||||
```
|
||||
|
||||
Key generated files commonly include:
|
||||
|
||||
- `02-Index.md`
|
||||
- `_system/registry.md`
|
||||
- `_system/schema.md`
|
||||
- `_system/lint-report.md`
|
||||
- `.claude/project-memory/{project_id}.md`
|
||||
- `Maps/literature.canvas` when literature workflow needs it
|
||||
|
||||
## Repository-local memory binding
|
||||
|
||||
Each research repo gets a local binding under:
|
||||
|
||||
```text
|
||||
.claude/project-memory/
|
||||
registry.yaml
|
||||
{project_id}.md
|
||||
```
|
||||
|
||||
- `registry.yaml` stores the repo ↔ vault binding
|
||||
- `{project_id}.md` stores the assistant-facing project memory for incremental syncs
|
||||
|
||||
## Note language
|
||||
|
||||
Generated and synced notes resolve their language with this priority:
|
||||
1. project config in `.claude/project-memory/registry.yaml`
|
||||
2. environment variable `OBSIDIAN_NOTE_LANGUAGE`
|
||||
3. default `en`
|
||||
|
||||
Note: `registry.yaml` remains a repo-local runtime binding file. The visible project source of truth stays in `_system/registry.md`.
|
||||
|
||||
Supported values:
|
||||
- `en`
|
||||
- `zh-CN`
|
||||
|
||||
Per-project example:
|
||||
|
||||
```json
|
||||
{
|
||||
"projects": {
|
||||
"my-project": {
|
||||
"project_id": "my-project",
|
||||
"vault_root": "/path/to/vault/Research/my-project",
|
||||
"note_language": "zh-CN"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Existing English and Chinese headings remain compatible during sync, so changing the configured language does not break older notes.
|
||||
|
||||
## Main commands
|
||||
|
||||
- `/kb-init` — initialize the vault-first project KB
|
||||
- `/kb-status` — summarize the bound KB state
|
||||
- `/kb-ingest` — route new source material into canonical notes
|
||||
- `/kb-log` — update the current Daily note and related project surfaces
|
||||
- `/kb-sync` — run deterministic KB maintenance and resync project surfaces
|
||||
- `/kb-links` — repair or strengthen wikilinks among canonical notes
|
||||
- `/kb-promote` — promote durable content into canonical notes
|
||||
- `/kb-index` — rebuild `02-Index.md`
|
||||
- `/kb-lint` — run deterministic KB health checks and rewrite `_system/lint-report.md`
|
||||
- `/kb-archive` — archive, detach, purge, or rename KB objects
|
||||
- `/kb-map` — generate explicit-only artifact outputs beyond the default literature canvas
|
||||
- `/kb-literature-review` — synthesize literature from `Sources/Papers` into `Knowledge`, `Writing`, and `Maps/literature.canvas`
|
||||
|
||||
## Minimum bound-repo maintenance
|
||||
|
||||
When a repo is already bound through `.claude/project-memory/registry.yaml`, Claude Scholar should keep automatic maintenance conservative:
|
||||
|
||||
- always verify `Daily/YYYY-MM-DD.md` when the turn changes research state,
|
||||
- update `00-Hub.md` only when top-level project status actually changes,
|
||||
- update `.claude/project-memory/{project_id}.md` whenever project state changes,
|
||||
- keep `Knowledge/`, `Experiments/`, `Results/`, and `Writing/` agent-first rather than automatically rewriting them every turn.
|
||||
|
||||
## Optional Obsidian CLI installation
|
||||
|
||||
The official Obsidian CLI is built into newer desktop installers. To use `obsidian ...` commands:
|
||||
|
||||
1. Use an Obsidian desktop build that supports CLI registration.
|
||||
2. In Obsidian Desktop, open `Settings -> General -> Advanced`.
|
||||
3. Turn on **Command line interface**.
|
||||
4. Ensure `/Applications/Obsidian.app/Contents/MacOS` is on your `PATH` on macOS (for example via `~/.zprofile`).
|
||||
5. Restart your terminal, then verify:
|
||||
|
||||
```bash
|
||||
obsidian help
|
||||
obsidian search query="diffusion" limit=5
|
||||
```
|
||||
|
||||
If you see `Command line interface is not enabled`, the shell path is fine but the Obsidian in-app toggle is still off.
|
||||
|
||||
## Lifecycle actions
|
||||
|
||||
### Detach
|
||||
- stop automatic syncing
|
||||
- keep vault content
|
||||
- keep project memory file
|
||||
|
||||
### Archive
|
||||
- **note archive** moves a canonical note into `Research/{project-slug}/Archive/`
|
||||
- **project archive** moves the whole project into `Research/_archived/{project-slug}-{date}/`
|
||||
- archive keeps history and disables syncing for project-level archive
|
||||
|
||||
### Purge
|
||||
- permanently delete the binding, project memory, and vault project folder
|
||||
- only use when the user explicitly asks for permanent deletion
|
||||
|
||||
## Optional CLI and URI usage
|
||||
|
||||
Claude Scholar can optionally use the official Obsidian CLI and URI scheme:
|
||||
|
||||
- CLI docs: <https://help.obsidian.md/cli>
|
||||
- URI docs: <https://help.obsidian.md/uri>
|
||||
|
||||
Examples:
|
||||
|
||||
```bash
|
||||
obsidian help
|
||||
obsidian search query="diffusion" limit=10
|
||||
obsidian daily:append content="- [ ] Follow up on experiment"
|
||||
```
|
||||
|
||||
```text
|
||||
obsidian://open?vault=My%20Vault&file=Research%2Fproject-slug%2F00-Hub
|
||||
obsidian://search?vault=My%20Vault&query=%23experiment
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
| Issue | Solution |
|
||||
|-------|----------|
|
||||
| Bootstrap fails with missing vault path | Set `OBSIDIAN_VAULT_PATH` or pass a vault path explicitly |
|
||||
| Project keeps re-importing | Check `.claude/project-memory/registry.yaml` exists and points to the correct repo root |
|
||||
| The vault still shows older topologies | Those are from older docs or older project generations; the current default workflow uses the structure above and only keeps `Maps/literature.canvas` by default |
|
||||
| CLI commands fail | Check that `Settings -> General -> Advanced -> Command line interface` is enabled; otherwise continue with filesystem-only sync |
|
||||
| “Remove project knowledge” is too destructive | Use archive or detach; purge is only for permanent deletion |
|
||||
|
||||
## WSL -> Windows mirror workflow
|
||||
|
||||
If you run Claude Scholar inside WSL but prefer opening Obsidian through native Windows for more stable window behavior, use a two-copy setup:
|
||||
|
||||
- keep the WSL vault as the source of truth (for example `<repo-root>/obsidian-vault`)
|
||||
- keep a Windows-local mirror directory mounted in WSL (for example `<wsl-mounted-windows-vault-path>`)
|
||||
- open the mirrored Windows-local directory in Windows Obsidian
|
||||
|
||||
Sync with:
|
||||
|
||||
```bash
|
||||
bash scripts/sync_obsidian_to_windows.sh --windows-path <wsl-mounted-windows-vault-path>
|
||||
```
|
||||
|
||||
Preview first if needed:
|
||||
|
||||
```bash
|
||||
bash scripts/sync_obsidian_to_windows.sh --windows-path <wsl-mounted-windows-vault-path> --dry-run
|
||||
```
|
||||
|
||||
By default the sync deletes mirror-only files that no longer exist in the WSL source. Add `--no-delete` if you want to keep extra files in the Windows mirror.
|
||||
182
文档润色流和知识库构建流/claude-scholar-upstream/OBSIDIAN_SETUP.zh-CN.md
Normal file
182
文档润色流和知识库构建流/claude-scholar-upstream/OBSIDIAN_SETUP.zh-CN.md
Normal file
@@ -0,0 +1,182 @@
|
||||
# Obsidian 项目知识库配置指南
|
||||
|
||||
Claude Scholar 内置了 Obsidian 研究知识库工作流，不需要 MCP，也不需要 API key。
|
||||
|
||||
## 这套工作流提供什么
|
||||
|
||||
Obsidian 在这里不是单纯的论文库，而是研究项目的默认知识层，可以统一沉淀：
|
||||
|
||||
- 稳定的项目背景与研究问题
|
||||
- 论文笔记与文献综合
|
||||
- 实验 runbook 与结果总结
|
||||
- 每日研究日志、scratch notes 与同步队列
|
||||
- 草稿、slides、proposal、rebuttal 等写作资产
|
||||
- 不应继续留在主工作面的历史知识
|
||||
|
||||
## Requirements
|
||||
|
||||
### Required
|
||||
- 一个本地 Obsidian vault 路径
|
||||
- 通过环境变量设置 `OBSIDIAN_VAULT_PATH`，或在 bootstrap 时显式传入
|
||||
|
||||
### Optional
|
||||
- 安装并打开 Obsidian Desktop，便于跳转与查看
|
||||
- 可用的 `obsidian` CLI，用于 open/search/daily 等辅助操作
|
||||
- `OBSIDIAN_VAULT_NAME`，便于生成更干净的 `obsidian://` 链接和 CLI targeting
|
||||
|
||||
## 内置 skills
|
||||
|
||||
Claude Scholar 内置了面向项目作用域的 Obsidian KB 工作流。
|
||||
|
||||
默认主线最相关的是：
|
||||
|
||||
- `obsidian-project-kb-core`
|
||||
- `obsidian-source-ingestion`
|
||||
- `obsidian-literature-workflow`
|
||||
- `obsidian-kb-artifacts`
|
||||
- `defuddle`
|
||||
|
||||
默认工作流不依赖 `.base`、MCP 或 API 服务。默认自动维护的图谱产物只有 `Maps/literature.canvas`；其他 `.base` 视图或项目/实验 canvas 都是 explicit-only。
|
||||
|
||||
## 默认行为
|
||||
|
||||
当 Claude Scholar 运行在一个包含 `.claude/project-memory/registry.yaml` 的仓库里时，应默认把这个仓库视为已经绑定到 Obsidian 项目知识库，并在任务过程中自动维护它。
|
||||
|
||||
如果仓库还没有绑定，但看起来像研究项目（例如包含 `.git`、`README.md`、`docs/`、`notes/`、`plan/`、`results/`、`outputs/`、`src/` 或 `scripts/`），Claude Scholar 应自动 bootstrap 一个项目知识库。
|
||||
|
||||
## Vault 中的默认目录结构
|
||||
|
||||
```text
|
||||
Research/{project-slug}/
|
||||
00-Hub.md
|
||||
01-Plan.md
|
||||
02-Index.md
|
||||
Sources/
|
||||
Papers/
|
||||
Web/
|
||||
Docs/
|
||||
Data/
|
||||
Interviews/
|
||||
Notes/
|
||||
Knowledge/
|
||||
Experiments/
|
||||
Results/
|
||||
Reports/
|
||||
Writing/
|
||||
Daily/
|
||||
Maps/
|
||||
Archive/
|
||||
_system/
|
||||
registry.md
|
||||
schema.md
|
||||
lint-report.md
|
||||
```
|
||||
|
||||
常见生成文件包括：
|
||||
|
||||
- `02-Index.md`
|
||||
- `_system/registry.md`
|
||||
- `_system/schema.md`
|
||||
- `_system/lint-report.md`
|
||||
- `.claude/project-memory/{project_id}.md`
|
||||
- 文献工作流需要时生成 `Maps/literature.canvas`
|
||||
|
||||
## Repo-local binding metadata
|
||||
|
||||
每个研究仓库都会在本地维护：
|
||||
|
||||
```text
|
||||
.claude/project-memory/
|
||||
registry.yaml
|
||||
{project_id}.md
|
||||
```
|
||||
|
||||
- `registry.yaml` 存 repo ↔ vault 的绑定关系
|
||||
- `{project_id}.md` 存 assistant-facing 的运行时项目记忆
|
||||
|
||||
## 笔记语言
|
||||
|
||||
生成和同步笔记时，语言按以下优先级解析：
|
||||
1. `.claude/project-memory/registry.yaml` 中的项目配置
|
||||
2. 环境变量 `OBSIDIAN_NOTE_LANGUAGE`
|
||||
3. 默认 `en`
|
||||
|
||||
注意：`registry.yaml` 仍然只是 repo-local runtime binding 文件。项目内真正可见的 source of truth 仍然是 `_system/registry.md`。
|
||||
|
||||
支持的值：
|
||||
- `en`
|
||||
- `zh-CN`
|
||||
|
||||
## 主命令
|
||||
|
||||
- `/kb-init` — 初始化 vault-first 项目知识库
|
||||
- `/kb-status` — 汇总当前已绑定 KB 的状态
|
||||
- `/kb-ingest` — 将新的 source material 路由到 canonical notes
|
||||
- `/kb-log` — 更新当天 `Daily/` 和相关项目表面
|
||||
- `/kb-sync` — 运行确定性的 KB 维护并重同步项目表面
|
||||
- `/kb-links` — 修复或增强 canonical notes 之间的 wikilink
|
||||
- `/kb-promote` — 将稳定内容提升为 canonical note
|
||||
- `/kb-index` — 重建 `02-Index.md`
|
||||
- `/kb-lint` — 运行确定性的 KB 健康检查并重写 `_system/lint-report.md`
|
||||
- `/kb-archive` — 归档、detach、purge 或重命名 KB 对象
|
||||
- `/kb-map` — 在默认 literature canvas 之外按需生成 artifact
|
||||
- `/kb-literature-review` — 从 `Sources/Papers` 合成文献并写入 `Knowledge`、`Writing`、`Maps/literature.canvas`
|
||||
|
||||
## 已绑定仓库的最小维护面
|
||||
|
||||
当仓库已经通过 `.claude/project-memory/registry.yaml` 绑定时，Claude Scholar 应保持保守维护：
|
||||
|
||||
- 只要研究状态发生变化，就检查 `Daily/YYYY-MM-DD.md`
|
||||
- 只有项目顶层状态真正变化时才更新 `00-Hub.md`
|
||||
- 只要项目状态变化，就更新 `.claude/project-memory/{project_id}.md`
|
||||
- `Knowledge/`、`Experiments/`、`Results/`、`Writing/` 默认保持 agent-first，而不是每轮都自动重写
|
||||
|
||||
## 可选的 Obsidian CLI 安装
|
||||
|
||||
官方 Obsidian CLI 是内置在较新的桌面版安装器里的。要使用 `obsidian ...` 命令：
|
||||
|
||||
1. 使用支持 CLI 注册的 Obsidian Desktop 版本。
|
||||
2. 在 Obsidian Desktop 中打开 `Settings -> General -> Advanced`。
|
||||
3. 打开 **Command line interface**。
|
||||
4. 在 macOS 上确保 `/Applications/Obsidian.app/Contents/MacOS` 已加入 `PATH`（例如写入 `~/.zprofile`）。
|
||||
5. 重启终端后验证：
|
||||
|
||||
```bash
|
||||
obsidian help
|
||||
obsidian search query="diffusion" limit=5
|
||||
```
|
||||
|
||||
如果提示 `Command line interface is not enabled`，通常说明 shell 路径已经配置好，但 Obsidian 应用内的开关还没打开。
|
||||
|
||||
## Lifecycle actions
|
||||
|
||||
### Detach
|
||||
- 停止自动同步
|
||||
- 保留 vault 内容
|
||||
- 保留 project memory 文件
|
||||
|
||||
### Archive
|
||||
- **note archive**：把 canonical note 移到 `Research/{project-slug}/Archive/`
|
||||
- **project archive**：把整个项目移到 `Research/_archived/{project-slug}-{date}/`
|
||||
- archive 会保留历史记录；project archive 会同时禁用同步
|
||||
|
||||
### Purge
|
||||
- 永久删除 binding、project memory 和 vault 中的项目目录
|
||||
- 只有在用户明确要求永久删除时才使用
|
||||
|
||||
## 可选的 CLI 与 URI 用法
|
||||
|
||||
Claude Scholar 可选使用官方 Obsidian CLI 与 URI：
|
||||
|
||||
- CLI 文档：<https://help.obsidian.md/cli>
|
||||
- URI 文档：<https://help.obsidian.md/uri>
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
| 问题 | 解决方式 |
|
||||
|------|----------|
|
||||
| Bootstrap 缺少 vault path | 设置 `OBSIDIAN_VAULT_PATH` 或显式传入 vault path |
|
||||
| 项目反复重新导入 | 检查 `.claude/project-memory/registry.yaml` 是否存在且 repo root 正确 |
|
||||
| vault 里仍出现旧目录拓扑 | 那通常来自旧文档或旧项目生成；当前默认结构以上述目录为准，默认只自动维护 `Maps/literature.canvas` |
|
||||
| CLI 命令失败 | 检查 `Settings -> General -> Advanced -> Command line interface` 是否已打开；否则继续使用 filesystem-only sync |
|
||||
| “删除项目知识” 看起来过于危险 | 优先使用 archive 或 detach；purge 仅用于永久删除 |
|
||||
653
文档润色流和知识库构建流/claude-scholar-upstream/README.ja-JP.md
Normal file
653
文档润色流和知识库构建流/claude-scholar-upstream/README.ja-JP.md
Normal file
@@ -0,0 +1,653 @@
|
||||
<div align="center">
|
||||
<img src="LOGO.png" alt="Claude Scholar Logo" width="100%"/>
|
||||
|
||||
<p>
|
||||
<a href="https://github.com/Galaxy-Dawn/claude-scholar/stargazers"><img src="https://img.shields.io/github/stars/Galaxy-Dawn/claude-scholar?style=flat-square&color=yellow" alt="Stars"/></a>
|
||||
<a href="https://github.com/Galaxy-Dawn/claude-scholar/network/members"><img src="https://img.shields.io/github/forks/Galaxy-Dawn/claude-scholar?style=flat-square" alt="Forks"/></a>
|
||||
<img src="https://img.shields.io/github/last-commit/Galaxy-Dawn/claude-scholar?style=flat-square" alt="Last Commit"/>
|
||||
<img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="License"/>
|
||||
<img src="https://img.shields.io/badge/Claude_Code-Compatible-blueviolet?style=flat-square" alt="Claude Code"/>
|
||||
<img src="https://img.shields.io/badge/Codex_CLI-Compatible-blue?style=flat-square" alt="Codex CLI"/>
|
||||
<img src="https://img.shields.io/badge/OpenCode-Compatible-orange?style=flat-square" alt="OpenCode"/>
|
||||
</p>
|
||||
|
||||
<strong>言語</strong>: <a href="README.md">English</a> | <a href="README.zh-CN.md">中文</a> | <a href="README.ja-JP.md">日本語</a>
|
||||
|
||||
</div>
|
||||
|
||||
> 学術研究とソフトウェア開発のための半自動リサーチアシスタント。特にコンピュータサイエンスおよびAI研究者向け。[Claude Code](https://github.com/anthropics/claude-code)、[Codex CLI](https://github.com/openai/codex)、[OpenCode](https://github.com/opencode-ai/opencode)をサポートし、文献レビュー、コーディング、実験、レポート作成、論文執筆、プロジェクトナレッジ管理に対応。
|
||||
|
||||
<p><em>ブランチについて</em>: <code>main</code>ブランチはClaude Codeワークフロー用です。Codex CLIをご利用の場合は<a href="https://github.com/Galaxy-Dawn/claude-scholar/tree/codex"><code>codex</code>ブランチ</a>を、OpenCodeをご利用の場合は<a href="https://github.com/Galaxy-Dawn/claude-scholar/tree/opencode"><code>opencode</code>ブランチ</a>をご参照ください。</p>
|
||||
|
||||
## 最新ニュース
|
||||
|
||||
- **2026-05-14**: **`expression-skill` を中核のコミュニケーション層に据え、`planning-with-files` を既定の永続 planning 層として戻し、Nature 執筆スタックも拡張** — [`expression-skill`](./skills/expression-skill/README.md) を、報告・計画・ファイル操作・多段の技術作業における結論先行の表現規律として明示しました。さらに [`planning-with-files`](./skills/planning-with-files/SKILL.md) を、複雑な作業で `task_plan.md` / `notes.md` を使う既定の on-disk planning / progress-tracking workflow として再導入しました。あわせて、章構成の起草と論証構築向けに [`nature-writing`](./skills/nature-writing/README.md) を導入し、[`nature-polishing`](./skills/nature-polishing/README.md) を上流の最新 article-pattern 版へ更新し、[`nature-response`](./skills/nature-response/README.md) と [`nature-data`](./skills/nature-data/README.md) も journal-writing スタックに維持しています。
|
||||
- **2026-05-13**: **根拠ゲート付き研究ワークフローと `Sources/Papers` ルーティングを整理** — Evidence Records、claim strength、Claim Promotion Gate を共有する `research-contract.md` を追加しました。研究アイデア出し、Zotero 取り込み、文献統合、結果レポート、論文執筆、rebuttal ワークフローを同じ根拠契約に接続し、プロジェクトの論文ソースノートはまず `Sources/Papers` に置き、根拠ゲートを通った主張だけを `Knowledge` や `Writing` へ進める方針を明確にしました。
|
||||
- **2026-04-24**: **プロジェクト単位の Obsidian KB ワークフローを統合** — Obsidian のプロジェクト知識管理を vault 中心のワークフローとして再構成し、重複していた記憶系スキルを 4 つの中核スキルに統合しました。リポジトリ内のプロジェクト紐付けメタデータは実行時レイヤーとして残し、プロジェクトナビゲーションは機械向けの登録表ではなく、人間が読みやすい形にしました。
|
||||
- **2026-04-22**: **軽量なコア指示、既定 agent の整理、安全なインストール管理、汎用的な論文発見フロー** — 常時読み込まれる大きな `CLAUDE.md` / `AGENTS.md` をコンパクトなコア指示に置き換え、既定 agent 集合を主経路に必要なものへ整理し、インストール状態に基づく安全なアンインストールを追加しました。`daily-paper-generator` は汎用トピック向けの arXiv / bioRxiv 検索と Top 10 -> Top 3 -> Top 1 の固定選定フローへ拡張し。
|
||||
- **2026-04-15**: **pubfig と pubtab という 2 つの Python パッケージを導入** — [`pubfig`](https://github.com/Galaxy-Dawn/pubfig) を論文品質の科学図向け、[`pubtab`](https://github.com/Galaxy-Dawn/pubtab) を発表可能な表と Excel↔LaTeX 変換向けの Python パッケージとして打ち出し、論文図、ベンチマーク表、書き出し制御、最終 QA までの生産経路をより明確にしました。
|
||||
|
||||
<details>
|
||||
<summary>過去の更新履歴を表示</summary>
|
||||
|
||||
- **2026-04-15**: **[`publication-chart-skill`](./skills/publication-chart-skill/SKILL.md) を Claude Scholar に統合** — [`pubfig`](https://github.com/Galaxy-Dawn/pubfig) + [`pubtab`](https://github.com/Galaxy-Dawn/pubtab) を [`publication-chart-skill`](./skills/publication-chart-skill/SKILL.md) としてまとめてリポジトリに追加し、Claude Scholar の分析/執筆スタックの境界に接続しました。これにより、論文品質の図表作業を汎用分析や文章作成スキルに混ぜず、明示的な引き渡し経路で扱えるようになりました。
|
||||
- **2026-03-31**: **Zotero smart-importワークフロー文書を整合** — 最新の`zotero-mcp`公開インターフェースに合わせて、Claude Scholarの研究向けドキュメントを更新しました。`zotero_add_items_by_identifier`を標準の論文インポート経路として明示し、`zotero_reconcile_collection_duplicates`を標準的なインポート後クリーンアップ手順に位置づけ、source-awareなPDF cascadeの挙動もより正確に説明し直しました。公開機能と内部診断機能の境界も整理しています。
|
||||
- **2026-03-31**: **READMEの導入案内を刷新** — Claude Scholarが特にコンピュータサイエンスおよびAI研究者に適していることを明確にし、インストール後すぐ使える実践的な導入シナリオを追加しました。前提条件やブランチ案内も整理し、「既存のローカルmdファイルは手動で統合する必要がある」点をより明確にしました。
|
||||
- **2026-03-31**: **インストーラーとhooksの挙動を整理** — インストーラーは既存のローカル`CLAUDE.md`を保持しつつ、リポジトリ版を`CLAUDE.scholar.md`として追加するようになりました。あわせて、デフォルトhooksの要約出力も整理し、temp filesやuncommitted filesのノイズを抑えつつ、より安全な書き込みガードは維持しています。
|
||||
- **2026-03-31**: **日本語ドキュメントを追加** — メインREADMEに加え、`AGENTS`、`MCP_SETUP`、`OBSIDIAN_SETUP`の日本語版も追加し、OpenCodeブランチ全体の多言語ドキュメント導線をより充実させました。
|
||||
|
||||
- **2026-02-25**: **Codex CLI** サポート — `codex` 分岐を追加し、[OpenAI Codex CLI](https://github.com/openai/codex) をサポート。config.toml、40 個の skills、14 個の agents、sandbox 安全機構を含む
|
||||
- **2026-02-23**: `setup.sh` インストーラー追加 — 既存 `~/.opencode` 向けのバックアップ付き増分更新、`opencode.jsonc` の自動バックアップ、`agent/mcp/permission/plugin` の追加統合に対応
|
||||
- **2026-02-21**: **OpenCode** サポート — Claude Scholar は [OpenCode](https://github.com/opencode-ai/opencode) を代替 CLI としてサポート。互換設定は `opencode` 分岐で提供
|
||||
- **2026-02-20**: バイリンガル文書 — 英文と中文の入口文書を整備し、異なる読者層が読みやすいよう改善
|
||||
- **2026-02-15**: Zotero MCP 統合 — `/zotero-review` と `/zotero-notes` を追加し、`research-ideation` skill に Zotero ガイドを追加、`literature-reviewer` agent を Zotero MCP 対応へ強化
|
||||
- **2026-02-14**: Hooks 最適化 — `security-guard` を二層化し、`skill-forced-eval` を 6 分類 + 静音スキャンへ変更、`session-start` を上位 5 件表示に制限、`session-summary` に 30 日ログ自動清理を追加、`stop-summary` で追加/変更/削除を分離表示
|
||||
- **2026-02-11**: 大型アップデート — 10 個の skills、7 個の agents、8 個の研究ワークフロー command、2 個の新ルールを追加し、主設定文書を再構成
|
||||
- **2026-01-26**: すべての Hooks をクロスプラットフォーム Node.js 版へ書き換え、README を全面更新、ML 論文執筆知識ベースを拡張
|
||||
- **2026-01-25**: プロジェクト正式公開、v1.0.0 リリース
|
||||
|
||||
</details>
|
||||
|
||||
## クイックナビゲーション
|
||||
|
||||
| セクション | 内容 |
|
||||
|---|---|
|
||||
| [Claude Scholarとは](#claude-scholarとは) | プロジェクトの位置づけとターゲットユースケース |
|
||||
| [コアワークフロー](#コアワークフロー) | アイデア創出から出版までのエンドツーエンド研究パイプライン |
|
||||
| [クイックスタート](#クイックスタート) | フル、ミニマル、選択的、プラグインマーケットプレイス経由のインストール |
|
||||
| [使い始めのシナリオ](#使い始めのシナリオ) | インストール後の代表的な使い始め方を見る |
|
||||
| [連携ツール](#連携ツール) | ZoteroとObsidianのワークフロー統合 |
|
||||
| [主要ワークフロー](#主要ワークフロー) | 研究・開発の主要ワークフロー一覧 |
|
||||
| [サポートワークフロー](#サポートワークフロー) | 主要ワークフローを支えるバックグラウンドシステム |
|
||||
| [ドキュメント](#ドキュメント) | セットアップ、設定、テンプレートへのリンク |
|
||||
| [引用](#引用) | 論文やレポートでのClaude Scholarの引用方法 |
|
||||
|
||||
## Claude Scholarとは
|
||||
|
||||
Claude Scholarは、研究者を置き換えようとするエンドツーエンドの自律研究システムでは**ありません**。
|
||||
|
||||
コアとなるアイデアはシンプルです:
|
||||
|
||||
> **意思決定の中心は人間に置き、アシスタントはその周辺のワークフローを加速する。**
|
||||
|
||||
つまりClaude Scholarは、研究の中で繰り返し発生する重い作業や構造に敏感な作業 — 文献整理、ノートテイキング、実験分析、レポート作成、ライティング支援 — を支援するよう設計されていますが、重要な判断は常に人間の手に委ねられます:
|
||||
|
||||
- どの問題が追求に値するか
|
||||
- どの論文が本当に重要か
|
||||
- どの仮説をテストすべきか
|
||||
- どの結果が説得力があるか
|
||||
- 何を書き、投稿し、あるいは断念すべきか
|
||||
|
||||
言い換えれば、Claude Scholarは**半自動リサーチアシスタント**であり、「完全自動化された科学者」ではありません。
|
||||
|
||||
## 対象ユーザー
|
||||
|
||||
Claude Scholarは特に以下のような方に適しています:
|
||||
|
||||
- 文献レビュー、コーディング、実験、論文執筆を行き来する**コンピュータサイエンス研究者**
|
||||
- アイデア創出、実装、分析、レポート作成、リバッタルまで一つのアシスタントワークフローが必要な**AI/ML研究者**
|
||||
- 人間の判断を手放さずにワークフローの構造を強化したい**研究エンジニアや大学院生**
|
||||
- Zotero、Obsidian、CLIオートメーション、再現可能なプロジェクトメモリの恩恵を受ける**ソフトウェア中心の学術プロジェクト**
|
||||
|
||||
他の研究分野でも利用できますが、現在のワークフロー設計はコンピュータサイエンス、AI、および隣接する計算研究に最適化されています。
|
||||
|
||||
## コアワークフロー
|
||||
|
||||
- **アイデア創出**: 漠然としたトピックを具体的な研究課題、研究ギャップ、初期計画に変換
|
||||
- **文献**: Zoteroコレクションを通じて論文を検索、インポート、整理、読解
|
||||
- **論文ノート**: 論文を構造化されたリーディングノートと再利用可能な知見に変換
|
||||
- **ナレッジベース**: `Sources / Knowledge / Experiments / Results / Results/Reports / Writing / Daily / Maps`にわたる永続的な知識をObsidianにルーティング
|
||||
- **実験**: 仮説、実験ライン、実行履歴、知見、次のアクションを追跡
|
||||
- **分析**: `results-analysis`で厳密な統計、科学的図表、分析アーティファクトを生成
|
||||
- **レポート**: `results-report`で実験後の完全なレポートを作成し、Obsidianに書き戻し
|
||||
- **執筆と出版**: 安定した知見をレビュー、論文、リバッタル、スライド、ポスター、プロモーションに展開
|
||||
|
||||
## クイックスタート
|
||||
|
||||
### 前提条件
|
||||
|
||||
- [Claude Code](https://github.com/anthropics/claude-code)
|
||||
- Git
|
||||
- (任意) Python + [uv](https://docs.astral.sh/uv/) — Python開発用
|
||||
- (任意) [Zotero](https://www.zotero.org/) + [Galaxy-Dawn/zotero-mcp](https://github.com/Galaxy-Dawn/zotero-mcp) — 文献ワークフロー用
|
||||
- (任意) [Obsidian](https://obsidian.md/) — プロジェクトナレッジベースワークフロー用
|
||||
|
||||
### オプション1: フルインストール（推奨）
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
bash /tmp/claude-scholar/scripts/setup.sh
|
||||
```
|
||||
|
||||
**Windows**: インストーラーの実行にはGit BashまたはWSLをご使用ください。
|
||||
|
||||
インストーラーは**バックアップ対応かつインクリメンタルアップデートに対応**しています:
|
||||
- リポジトリ管理の`skills/commands/agents/rules/hooks/scripts/CLAUDE*.md`を更新
|
||||
- 上書きされるファイルを`~/.claude/.claude-scholar-backups/<timestamp>/`にバックアップ
|
||||
- `settings.json`を`settings.json.bak`にバックアップ
|
||||
- 既存の`~/.claude/CLAUDE.md`を保持し、リポジトリ版を`~/.claude/CLAUDE.scholar.md`としてインストール
|
||||
- 既存の`~/.claude/CLAUDE.zh-CN.md`を保持し、リポジトリ版を`~/.claude/CLAUDE.zh-CN.scholar.md`としてインストール
|
||||
- 既存の`env`、モデル/プロバイダー設定、APIキー、パーミッション、現在の`mcpServers`値を保持
|
||||
- 既存のフックセットを置き換えるのではなく、不足しているフックエントリを追加
|
||||
|
||||
**CLAUDEに関する重要事項**: 既に独自の`~/.claude/CLAUDE.md`や`~/.claude/CLAUDE.zh-CN.md`をお持ちの場合、インストール後に`~/.claude/CLAUDE.scholar.md`と`~/.claude/CLAUDE.zh-CN.scholar.md`を確認し、必要なClaude Scholarのセクションを手動で統合してください。別名で配置された補助ファイルは自動的には適用されません。
|
||||
|
||||
アップデート方法:
|
||||
|
||||
```bash
|
||||
cd /tmp/claude-scholar
|
||||
git pull --ff-only
|
||||
bash scripts/setup.sh
|
||||
```
|
||||
|
||||
アンインストールする場合:
|
||||
|
||||
```bash
|
||||
cd /tmp/claude-scholar
|
||||
bash scripts/uninstall.sh
|
||||
```
|
||||
|
||||
インストーラーは次のファイルも書き込みます:
|
||||
- `~/.claude/.claude-scholar-manifest.txt`: Claude Scholar が実際に管理するファイル一覧
|
||||
- `~/.claude/.claude-scholar-install-state`: 安全なアンインストールに使う ownership メタデータ
|
||||
|
||||
アンインストーラーは install state に記録されたファイルと settings エントリだけを削除し、現在のリポジトリ内容から所有権を推測しません。
|
||||
|
||||
### オプション2: ミニマルインストール
|
||||
|
||||
研究にフォーカスした最小限のサブセットのみをインストール:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
mkdir -p ~/.claude/hooks ~/.claude/skills
|
||||
cp /tmp/claude-scholar/hooks/*.js ~/.claude/hooks/
|
||||
cp -r /tmp/claude-scholar/skills/ml-paper-writing ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/research-ideation ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/results-analysis ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/results-report ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/review-response ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/writing-anti-ai ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/git-workflow ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/bug-detective ~/.claude/skills/
|
||||
```
|
||||
|
||||
**インストール後**: ミニマル/手動インストールでは`settings.json`の自動統合は行われません。`settings.json.template`から必要なhooksやMCPエントリのみをコピーしてください。既に独自の`~/.claude/CLAUDE.md`や`~/.claude/CLAUDE.zh-CN.md`をお持ちの場合は、上書きせずにこのリポジトリのCLAUDEファイルから関連セクションを統合してください。
|
||||
|
||||
### オプション3: 選択的インストール
|
||||
|
||||
必要な部分のみをコピー:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
cd /tmp/claude-scholar
|
||||
|
||||
cp hooks/*.js ~/.claude/hooks/
|
||||
cp -r skills/latex-conference-template-organizer ~/.claude/skills/
|
||||
cp -r skills/architecture-design ~/.claude/skills/
|
||||
cp agents/paper-miner.md ~/.claude/agents/
|
||||
cp rules/coding-style.md ~/.claude/rules/
|
||||
cp rules/agents.md ~/.claude/rules/
|
||||
```
|
||||
|
||||
**インストール後**: 選択的/手動インストールでは`settings.json`の自動統合は行われません。`settings.json.template`から実際に必要なhooksやMCPエントリのみをコピーしてください。既に独自の`~/.claude/CLAUDE.md`や`~/.claude/CLAUDE.zh-CN.md`をお持ちの場合は、上書きせずに関連セクションを統合してください。
|
||||
|
||||
### オプション4: プラグインマーケットプレイス経由のインストール
|
||||
|
||||
**ステップ1: プラグインをインストール**
|
||||
|
||||
```bash
|
||||
/plugin marketplace add Galaxy-Dawn/claude-scholar
|
||||
/plugin install claude-scholar@claude-scholar
|
||||
```
|
||||
|
||||
これにより、skills、commands、agents、hooks が自動で読み込まれます。インストール時に、適用範囲として user（全プロジェクト）または project（単一プロジェクト）を選択できます。
|
||||
|
||||
**ステップ2: ルールをインストール（必須）**
|
||||
|
||||
Claude Code のプラグインは rules を自動配布できないため、手動で追加してください:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
|
||||
# ユーザー全体（全プロジェクト）
|
||||
mkdir -p ~/.claude/rules
|
||||
cp /tmp/claude-scholar/rules/*.md ~/.claude/rules/
|
||||
|
||||
# あるいはプロジェクト単位（現在のプロジェクトのみ）
|
||||
mkdir -p .claude/rules
|
||||
cp /tmp/claude-scholar/rules/*.md .claude/rules/
|
||||
```
|
||||
|
||||
**インストール後**: プラグインインストールでは `CLAUDE.md` の自動読み込みや `settings.json` の自動設定は行われません。既に独自の `~/.claude/CLAUDE.md` や `~/.claude/CLAUDE.zh-CN.md` をお持ちの場合は、プラグインが自動適用すると考えず、Claude Scholar 側の関連セクションを手動で統合してください。Zotero MCP などの連携が必要な場合は、[連携ツール](#連携ツール) セクションを参照してください。
|
||||
|
||||
## 使い始めのシナリオ
|
||||
|
||||
インストール後は、システム全体を先に覚えようとするよりも、自然言語で今やりたいことをそのまま伝えるのがいちばん簡単です。ここでは、最初の一歩として使いやすい代表的なシナリオをいくつか挙げます。
|
||||
|
||||
### 1. 新しい研究テーマを立ち上げる
|
||||
**たとえばこう言えます:**
|
||||
> [あなたの研究テーマ]について研究を始めたいです。文献に基づいた初期プラン、重要な未解決問題、次にやるべき具体的なステップを整理してください。
|
||||
|
||||
**Claude Scholarがよく支援する内容:**
|
||||
- テーマを明確化して研究課題を絞り込む
|
||||
- 優先して見るべき文献の方向を整理する
|
||||
- 初期計画や仮説候補をまとめる
|
||||
- 必要ならZoteroやObsidianにも流し込む
|
||||
|
||||
### 2. Zotero文献コレクションをレビューする
|
||||
**たとえばこう言えます:**
|
||||
> Zoteroにある brain foundation models 関連の文献コレクションをレビューして、主な流れ、研究ギャップ、次に有望な方向をまとめてください。
|
||||
|
||||
**典型的な出力:**
|
||||
- テーマ別の論文整理
|
||||
- 簡潔な文献総括
|
||||
- ギャップ分析
|
||||
- 次に掘る価値のある研究方向
|
||||
|
||||
### 3. 完了した実験結果を分析する
|
||||
**たとえばこう言えます:**
|
||||
> この実験フォルダの結果を分析して、各runで何が変わったのかを確認し、意思決定に使える要約を書いてください。
|
||||
|
||||
**典型的な出力:**
|
||||
- 指標比較
|
||||
- アブレーションやエラー分析の提案
|
||||
- 何が堅い結論で、何がまだ弱く、次に何を走らせるべきかを整理した結果要約
|
||||
|
||||
### 4. 論文の節やrebuttal草稿を書く
|
||||
**たとえばこう言えます:**
|
||||
> このプロジェクトの現時点の知見と論文メモに基づいて、関連研究の節の草稿を書いてください。
|
||||
|
||||
または:
|
||||
|
||||
> これらの査読コメントに対するrebuttal草稿を手伝ってください。
|
||||
|
||||
**典型的な出力:**
|
||||
- 構造化された節ドラフト
|
||||
- より明確な論理展開
|
||||
- 主張と根拠の対応整理
|
||||
- 追加で検証や補強が必要な論点
|
||||
|
||||
### 実用上のメモ
|
||||
- 最初は「全部やって」ではなく、具体的な一つのタスクから始めるのがおすすめです。
|
||||
- すでに自分用のローカル`CLAUDE.md`を運用している場合は、Claude Scholarの必要な内容を手動で統合してください。別名で配置されたファイルが自動適用されるわけではありません。
|
||||
- ZoteroとObsidianは必須ではありませんが、単発のチャット出力ではなく、継続的な文献ノートやプロジェクトメモリを残したい場合にはかなり有用です。
|
||||
|
||||
## プラットフォームサポート
|
||||
|
||||
Claude Scholarは以下のプラットフォームをサポートしています:
|
||||
|
||||
- **Claude Code** — 主要なインストール対象
|
||||
- **Codex CLI** — サポートされたワークフローとドキュメントがこのリポジトリエコシステムで利用可能
|
||||
- **OpenCode** — 代替CLIワークフローとしてサポート
|
||||
|
||||
トップレベルのワークフローは共通: 研究、コーディング、実験、レポート作成、プロジェクトナレッジ管理。
|
||||
|
||||
## 連携ツール
|
||||
|
||||
### Zotero
|
||||
|
||||
以下の用途でClaude ScholarにZoteroを連携できます:
|
||||
- DOI / arXiv / URLによる論文インポート
|
||||
- コレクションベースのリーディングワークフロー
|
||||
- Zotero MCPを通じたフルテキストアクセス
|
||||
- 詳細な論文ノートと文献合成
|
||||
|
||||
詳細は [MCP_SETUP.ja-JP.md](./MCP_SETUP.ja-JP.md) を参照。
|
||||
|
||||
### Obsidian
|
||||
|
||||
ファイルシステムファーストの研究ナレッジベースとしてObsidianを利用できます:
|
||||
- `Sources/`
|
||||
- `Knowledge/`
|
||||
- `Experiments/`
|
||||
- `Results/`
|
||||
- `Results/Reports/`
|
||||
- `Writing/`
|
||||
- `Daily/`
|
||||
- `Maps/`
|
||||
|
||||
詳細は [OBSIDIAN_SETUP.ja-JP.md](./OBSIDIAN_SETUP.ja-JP.md) を参照。
|
||||
|
||||
## 主要ワークフロー
|
||||
|
||||
アイデアから出版まで — 7段階の学術研究ライフサイクル。
|
||||
|
||||
### 1. リサーチアイデア創出（Zotero連携）
|
||||
|
||||
アイデア生成から文献管理までのエンドツーエンド研究スタートアップ。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `research-ideation` | 漠然としたトピックを構造化された研究課題、ギャップ分析、初期研究計画に変換 |
|
||||
| Agent | `literature-reviewer` | 論文を検索、分類、合成し、実用的な文献全体像を構築 |
|
||||
| Command | `/research-init` | 文献検索、Zotero整理、研究質問カードを開始し、根拠ゲートを通った場合のみ提案書草稿を生成 |
|
||||
| Command | `/zotero-review` | 既存のZoteroコレクションをレビューし、構造化された文献合成を生成 |
|
||||
| Command | `/zotero-notes` | Zoteroコレクションを一括読解し、構造化された論文リーディングノートを作成 |
|
||||
|
||||
**仕組み**
|
||||
- **5W1Hブレインストーミング**: 漠然としたトピックを構造化された問い（What / Why / Who / When / Where / How）に変換
|
||||
- **文献検索とインポート**: 論文を検索、DOI/arXiv/URLを抽出、Zoteroにインポートし、テーマ別コレクションに整理
|
||||
- **PDFとフルテキスト**: 可能な場合はPDFを添付・フルテキストを読解、必要に応じてアブストラクトレベルの分析にフォールバック
|
||||
- **ギャップ分析**: 文献的、方法論的、応用的、学際的、時間的ギャップを特定
|
||||
- **研究課題と計画**: レビューを具体的な研究課題、初期仮説、次ステップ計画に変換
|
||||
- **根拠ゲート**: 主張を `Knowledge`、`Writing`、提案書に昇格する前に、弱いソース、プロジェクト仮説、不足している根拠を明示
|
||||
|
||||
**典型的な出力**
|
||||
- 仮説、必要エビデンス、反証条件、次アクションを含む研究質問カード
|
||||
- 文献レビューノート
|
||||
- 構造化されたZoteroコレクション
|
||||
- 根拠が十分な場合のみプロジェクト提案書。それ以外は研究方向性または初期整理ドラフト
|
||||
|
||||
### 2. MLプロジェクト開発
|
||||
|
||||
実験コードとイテレーションのための保守性の高いMLプロジェクト構造。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `architecture-design` | 新しい登録可能なコンポーネントやモジュール導入時に保守性の高いMLプロジェクト構造を定義 |
|
||||
| Skill | `git-workflow` | ブランチ管理、コミット規約、安全なコラボレーションワークフローを適用 |
|
||||
| Skill | `bug-detective` | スタックトレース、シェルエラー、コードパスの問題を体系的にデバッグ |
|
||||
| Agent | `code-reviewer` | 変更されたコードの正確性、保守性、実装品質をレビュー |
|
||||
| Agent | `tdd-guide` | 明示的に TDD が必要な場面で、絞ったテスト駆動の実装ガイドを出す。 |
|
||||
| Command | `/plan` | コーディング前に実装計画を作成・改善 |
|
||||
| Command | `/commit` | 現在の変更に対してConventional Commitを準備 |
|
||||
| Command | `/code-review` | 現在のコード変更に対するフォーカスレビューを実行 |
|
||||
| Command | `/tdd` | テスト駆動の小さな実装ステップで機能開発を推進 |
|
||||
|
||||
**仕組み**
|
||||
- **構造**: 適切な場合にFactory / Registryパターンを使用
|
||||
- **コード品質**: ファイルを保守可能、型付き、設定駆動に維持
|
||||
- **デバッグ**: スタックトレース、シェルエラー、コードパスの問題を体系的に調査
|
||||
- **Git規律**: ブランチ管理、Conventional Commits、安全な統合/rebaseワークフロー
|
||||
|
||||
### 3. 実験分析
|
||||
|
||||
科学的図表とレポート用アーティファクトを伴う厳密な実験結果分析。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `results-analysis` | 厳密な統計、科学的図表、分析アーティファクトを含む分析バンドルを生成 |
|
||||
| Skill | `results-report` | 分析アーティファクトを、意思決定、限界、次アクションを含む完全な実験後レポートに変換 |
|
||||
| Command | `/analyze-results` | ブロッカー優先の実験後ワークフローを実行。根拠を検証し、可能な場合に厳密分析、十分な場合にレポート生成 |
|
||||
|
||||
**仕組み**
|
||||
- **データ処理**: 実験ログ、メトリクスファイル、結果ディレクトリを読解
|
||||
- **ブロッカー優先ゲート**: 分析単位、主要指標、seeds/folds/runs、出所追跡、比較族を先に固定
|
||||
- **統計検定**: 適切な場合にt検定 / ANOVA / Wilcoxon等の厳密な統計チェックを実行
|
||||
- **可視化**: 曖昧なプロット提案ではなく、解釈ガイダンス付きの科学的図表を生成
|
||||
- **アブレーションと比較**: コンポーネント寄与度、パフォーマンストレードオフ、安定性を分析
|
||||
- **実験後レポート**: 分析バンドルを結論、限界、次アクションを含む完全な振り返りレポートに変換
|
||||
|
||||
**典型的な出力**
|
||||
- `analysis-report.md`
|
||||
- `stats-appendix.md`
|
||||
- `figure-catalog.md`
|
||||
- `figures/`
|
||||
- Obsidian `Results/Reports/`内の実験後サマリーレポート
|
||||
- 根拠不足時のブロッカー要約または監査メモ
|
||||
|
||||
### 4. 論文執筆
|
||||
|
||||
構造セットアップからドラフト改善までの体系的な学術ライティング。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `ml-paper-writing` | リポジトリコンテキスト、エビデンス、文献からML/AI論文を執筆 |
|
||||
| Skill | [`nature-writing`](./skills/nature-writing/README.md) | claims、figures、results、notes、または中国語草稿から Nature スタイルの論文セクションを起草・再構成する |
|
||||
| Skill | [`nature-polishing`](./skills/nature-polishing/README.md) | 原稿を推敲・再構成・翻訳し、Nature寄りの簡潔な英語へ整える |
|
||||
| Skill | [`nature-response`](./skills/nature-response/README.md) | Nature系修正投稿向けの point-by-point reviewer response を作成・監査・改稿する |
|
||||
| Skill | [`nature-data`](./skills/nature-data/README.md) | Nature向け Data Availability、repository plan、FAIR metadata チェックを準備する |
|
||||
| Skill | `citation-verification` | 参考文献、メタデータ、主張と引用の整合性をチェックし引用ミスを防止 |
|
||||
| Skill | `writing-anti-ai` | 機械的な表現を減らし、明瞭さ、リズム、人間的な学術トーンを改善 |
|
||||
| Skill | `latex-conference-template-organizer` | 乱雑な学会テンプレートをOverleaf対応のライティング構造に整理 |
|
||||
| Agent | `paper-miner` | 優れた論文から再利用可能なライティングパターン、構造、学会の期待値を抽出 |
|
||||
| Command | `/mine-writing-patterns` | 論文を読み込み、再利用可能なライティング知識を現在インストール済みのpaper-minerメモリに統合 |
|
||||
|
||||
**仕組み**
|
||||
- **テンプレート準備**: 学会テンプレートをOverleaf対応構造に整理
|
||||
- **ジャーナル寄りの推敲**: 必要に応じて段落ロジック、hedging、section moves を整え、Nature寄りの文体へ近づける
|
||||
- **査読返信**: major/minor revision コメントを監査可能な point-by-point response package に整理する
|
||||
- **データ可用性**: Nature向けの repository plan、dataset citation、availability statement を準備する
|
||||
- **引用検証**: 参考文献、メタデータ、主張と引用の整合性を検証
|
||||
- **体系的執筆**: リポジトリコンテキスト、実験根拠、文献ノートからセクションを執筆し、未支持の主張は明示的に残す
|
||||
- **主張台帳**: 貢献、結果、関連研究との差分は根拠へ追跡し、そうでなければ推測的な表現として扱う
|
||||
- **スタイル改善**: 機械的な表現を減らし、リズム、明瞭さ、トーンを改善
|
||||
|
||||
### 5. 論文セルフレビュー
|
||||
|
||||
投稿前の品質保証。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `paper-self-review` | 投稿前に構造、ロジック、引用、図表、コンプライアンスを監査 |
|
||||
|
||||
**仕組み**
|
||||
- **構造チェック**: 論理的な流れ、セクションバランス、物語の一貫性
|
||||
- **ロジック検証**: 主張とエビデンスの整合性、前提の明確さ、議論の一貫性
|
||||
- **引用監査**: 参考文献の正確性と完全性
|
||||
- **図表品質**: キャプションの完全性、可読性、アクセシビリティ
|
||||
- **コンプライアンス**: ページ制限、フォーマット、開示要件
|
||||
|
||||
### 6. 投稿とリバッタル
|
||||
|
||||
投稿準備とレビュー対応ワークフロー。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `review-response` | レビューアコメントをエビデンスベースのリバッタルワークフローに構造化 |
|
||||
| Agent | `rebuttal-writer` | 利用可能な実行時では、プロフェッショナルで敬意あるリバッタル文面を補助 |
|
||||
| Command | `/rebuttal` | レビューコメントと根拠から、根拠アンカー付きのリバッタルドラフトを生成し、未解決点を明示 |
|
||||
|
||||
**仕組み**
|
||||
- **投稿前チェック**: 学会固有のフォーマット、匿名化、チェックリスト要件
|
||||
- **レビュー分析**: レビューアコメントをアクション可能なカテゴリに分類
|
||||
- **対応戦略**: 受け入れ、反論、明確化、新実験の提案を判断
|
||||
- **リバッタル執筆**: プロフェッショナルなトーンで構造化された回答を作り、根拠アンカーと未解決項目を保持
|
||||
|
||||
### 7. アクセプト後処理
|
||||
|
||||
アクセプト後の学会準備と研究プロモーション。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `post-acceptance` | アクセプト後の発表、ポスター、研究プロモーションをサポート |
|
||||
| Command | `/presentation` | アクセプトされた研究の発表構成とスピーキングガイダンスを生成 |
|
||||
| Command | `/poster` | 研究内容をポスター用コンテンツとレイアウトガイダンスに整理 |
|
||||
| Command | `/promote` | サマリー、投稿、スレッドなどの外部向けプロモーションコンテンツを作成 |
|
||||
|
||||
**仕組み**
|
||||
- **プレゼンテーション**: 発表構成とスライドガイダンスを準備
|
||||
- **ポスター**: コンテンツをポスター用レイアウトと階層に整理
|
||||
- **プロモーション**: ソーシャルメディア、ブログ、サマリー素材を生成
|
||||
|
||||
## サポートワークフロー
|
||||
|
||||
主要ワークフローを強化するバックグラウンドワークフロー。
|
||||
|
||||
### Obsidianプロジェクトナレッジベース
|
||||
|
||||
Obsidianを単なるノート置き場ではなく、プロジェクト単位で長期利用できる知識基盤として使う。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `obsidian-project-kb-core` | プロジェクト単位のKBに対する初期化、ルーティング、登録表、索引、日次記録、ライフサイクルを統括 |
|
||||
| Skill | `obsidian-source-ingestion` | 外部資料を `Sources/Papers`、`Sources/Web`、`Sources/Docs`、`Sources/Data`、`Sources/Interviews`、`Sources/Notes` に取り込む |
|
||||
| Skill | `obsidian-literature-workflow` | `Sources/Papers` から `Knowledge`、`Writing`、`Maps/literature.canvas` へ進む文献ワークフローを担当 |
|
||||
| Skill | `obsidian-kb-artifacts` | wikilink、登録表、canvas、明示指定の `.base`、リンク修復などの Obsidian ネイティブ成果物を扱う |
|
||||
| Command | `/kb-init` | `Research/{project-slug}/` 配下に vault 中心の KB を初期化 |
|
||||
| Command | `/kb-status` | バインド済みプロジェクトKBの現在状態を要約 |
|
||||
| Command | `/kb-ingest` | 新しいソース素材を正しい標準ノートにルーティング |
|
||||
| Command | `/kb-log` | 当日の `Daily/` と関連サーフェスを保守的に更新 |
|
||||
| Command | `/kb-sync` | 決定論的な KB メンテナンスを実行し、登録表・索引・日次記録・実行時の紐付け状態を更新 |
|
||||
| Command | `/kb-links` | 標準 KB ノート間の wikilink を修復または強化 |
|
||||
| Command | `/kb-promote` | Daily やソースノートの安定した内容を標準ノートに昇格 |
|
||||
| Command | `/kb-index` | 人間向けナビゲーションページ `02-Index.md` を再生成 |
|
||||
| Command | `/kb-lint` | 決定論的なKB健全性チェックを実行し `_system/lint-report.md` を更新 |
|
||||
| Command | `/kb-archive` | KBオブジェクトのアーカイブ、切り離し、削除、リネームを行い、リンクと登録表を整合させる |
|
||||
| Command | `/kb-map` | 既定の literature canvas 以外のKB成果物を明示要求時に生成または修復 |
|
||||
| Command | `/kb-literature-review` | `Sources/Papers` から根拠ゲート付きの文献統合を作り、`Knowledge`、必要時の `Writing`、`Maps/literature.canvas` に書き戻す |
|
||||
|
||||
**仕組み**
|
||||
- 既存リポジトリをObsidianのvaultにバインド
|
||||
- 安定した知識を `Sources / Knowledge / Experiments / Results / Results/Reports / Writing / Daily / Maps` にルーティング
|
||||
- `Daily/` とリポジトリ内の紐付けメタデータを保守的に更新
|
||||
- 新しいソース素材を正しい標準ノートに取り込む
|
||||
- アブストラクトのみのソースやWebページのプレースホルダーが安定した主張を支えないようにする
|
||||
- 追加の `.base` や canvas は明示要求時のみ生成
|
||||
- 決定論的な再同期には `/kb-sync`、単独のリンク修復には `/kb-links` を使う
|
||||
|
||||
**ノート言語設定**
|
||||
|
||||
生成・同期されるObsidianノートの言語は以下の優先順位で決定:
|
||||
1. プロジェクト設定: `.claude/project-memory/registry.yaml` -> `note_language`
|
||||
2. 環境変数: `OBSIDIAN_NOTE_LANGUAGE`
|
||||
3. デフォルト: `en`
|
||||
|
||||
注: ファイルは歴史的な理由で`registry.yaml`という名前ですが、実際のフォーマットはJSONです。
|
||||
|
||||
プロジェクトごとの設定例:
|
||||
|
||||
```json
|
||||
{
|
||||
"projects": {
|
||||
"my-project": {
|
||||
"project_id": "my-project",
|
||||
"vault_root": "/path/to/vault/Research/my-project",
|
||||
"note_language": "zh-CN"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
英語と中国語のセクション見出しは同期時に相互互換性があるため、言語設定を切り替えた後でもどちらの言語の既存ノートも安全に更新できます。
|
||||
|
||||
### 自動化ワークフロー
|
||||
|
||||
クロスプラットフォームフックによるルーティンワークフローチェックとリマインダーの自動化。
|
||||
|
||||
**Hooks**
|
||||
- `skill-forced-eval.js`
|
||||
- `session-start.js`
|
||||
- `session-summary.js`
|
||||
- `stop-summary.js`
|
||||
- `security-guard.js`
|
||||
|
||||
**仕組み**
|
||||
- **プロンプト前**: 適用可能なスキルを評価し、関連するワークフローヒントを表示
|
||||
- **セッション開始時**: Git状態、利用可能なコマンド、プロジェクトメモリコンテキストを表示
|
||||
- **セッション終了/停止時**: 作業を要約し、最低限のメンテナンスタスクをリマインド
|
||||
- **セキュリティ**: 壊滅的なコマンドをブロックし、危険だが正当なコマンドには確認を要求
|
||||
|
||||
### 表現と報告の規律レイヤー
|
||||
|
||||
結論先行の報告、具体的なエビデンス、可視化されたリスク、または簡潔な次アクションが必要なときは、再利用可能なコミュニケーションレイヤーを使います。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | [`expression-skill`](./skills/expression-skill/README.md) | 技術作業、執筆、ドキュメント、ファイル操作、多段タスク向けに、結論先行で具体的かつ検証可能な表現規律を適用する |
|
||||
| Skill | [`planning-with-files`](./skills/planning-with-files/SKILL.md) | 複雑な作業を `task_plan.md`、`notes.md`、成果物ファイルへ持続化し、一時的な会話 context だけに依存しないようにする |
|
||||
|
||||
**仕組み**
|
||||
- 経緯説明ではなく結論から始める
|
||||
- 抽象的なプロセス語より、コマンド、パス、件数、チェック結果、観測可能な挙動を優先する
|
||||
- 結果が変わるときだけ確認質問をする
|
||||
- リスク、不確実性、破壊的境界を早めに明示する
|
||||
- 長時間作業では step / checkpoint 形式の可視化された進捗目印を出す
|
||||
- 多段タスクでは `task_plan.md` と `notes.md` に計画と途中知見を残し、一時的な context だけに依存しない
|
||||
|
||||
### 知識抽出ワークフロー
|
||||
|
||||
専門エージェントが論文やコンペティションから再利用可能な知識をマイニング。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Agent | `paper-miner` | 優れた論文から再利用可能なライティング知識、構造パターン、学会ヒューリスティクスを抽出 |
|
||||
| Agent | `kaggle-miner` | 優れたKaggleワークフローからエンジニアリングプラクティスとソリューションパターンを抽出 |
|
||||
|
||||
**仕組み**
|
||||
- 論文からライティングパターン、学会の期待値、リバッタル戦略を抽出
|
||||
- Kaggleワークフローからエンジニアリングパターンとソリューション構造を抽出
|
||||
- これらの知見をスキルや参考資料にフィードバック
|
||||
|
||||
### スキル進化システム
|
||||
|
||||
Claude Scholar自身のスキルに対する自己改善ループ。
|
||||
|
||||
| 種類 | 名前 | 概要 |
|
||||
|---|---|---|
|
||||
| Skill | `skill-development` | 明確なトリガー、構造、段階的開示を持つ新スキルを作成 |
|
||||
| Skill | `skill-quality-reviewer` | コンテンツ品質、構成、スタイル、構造的完全性にわたってスキルをレビュー |
|
||||
| Skill | `skill-improver` | 構造化された改善計画を適用して既存スキルを進化 |
|
||||
|
||||
**仕組み**
|
||||
- 明確なトリガー説明を持つ新スキルを作成
|
||||
- 品質の各次元にわたってレビュー
|
||||
- 構造化された改善を適用し、イテレーション
|
||||
|
||||
## ドキュメント
|
||||
|
||||
- [MCP_SETUP.ja-JP.md](./MCP_SETUP.ja-JP.md) — Zotero/ブラウザMCPセットアップ（日本語）
|
||||
- [OBSIDIAN_SETUP.ja-JP.md](./OBSIDIAN_SETUP.ja-JP.md) — Obsidianナレッジベースワークフロー（日本語）
|
||||
- [CLAUDE.ja-JP.md](./CLAUDE.ja-JP.md) — 軽量な Claude Code コア指示の日本語版
|
||||
- [CLAUDE.md](./CLAUDE.md) — 軽量な Claude Code コア指示（英語版）
|
||||
- [CLAUDE.zh-CN.md](./CLAUDE.zh-CN.md) — 軽量コア指示の中国語版補助ファイル
|
||||
- [settings.json.template](./settings.json.template) — hooks/plugins/MCP用のオプション設定テンプレート
|
||||
|
||||
## プロジェクトルール
|
||||
|
||||
Claude Scholarには以下のプロジェクトルールが含まれています:
|
||||
- コーディングスタイル
|
||||
- エージェントオーケストレーション
|
||||
- セキュリティ
|
||||
- 実験再現性
|
||||
|
||||
これらはシッピングされたルールと`CLAUDE.md`に反映されています。
|
||||
|
||||
## コントリビューション
|
||||
|
||||
Issue、PR、ワークフローの改善を歓迎します。
|
||||
|
||||
インストーラーの動作、Zoteroワークフロー、Obsidianルーティングへの変更を提案する場合は、以下を含めてください:
|
||||
- ユーザーシナリオ
|
||||
- 現在の制限事項
|
||||
- 期待される動作
|
||||
- 互換性に関する懸念事項
|
||||
|
||||
## ライセンス
|
||||
|
||||
MIT License。
|
||||
|
||||
## 引用
|
||||
|
||||
Claude Scholarがあなたの研究やエンジニアリングワークフローに役立った場合、以下のようにリポジトリを引用できます:
|
||||
|
||||
```bibtex
|
||||
@misc{claude_scholar_2026,
|
||||
title = {Claude Scholar: Semi-automated research assistant for academic research and software development},
|
||||
author = {Gaorui Zhang},
|
||||
year = {2026},
|
||||
howpublished = {\url{https://github.com/Galaxy-Dawn/claude-scholar}},
|
||||
note = {GitHub repository}
|
||||
}
|
||||
```
|
||||
|
||||
## 謝辞
|
||||
|
||||
Claude Code CLIで構築され、オープンソースコミュニティによって強化されています。
|
||||
|
||||
### 参考プロジェクト
|
||||
|
||||
本プロジェクトは、コミュニティの優れた成果からインスピレーションを受け、それらを基盤としています:
|
||||
|
||||
- **[everything-claude-code](https://github.com/anthropics/everything-claude-code)** - Claude Code CLIの包括的なリソース
|
||||
- **[AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs)** - 研究に特化したスキルと設定
|
||||
- **[expression-skill](https://github.com/Galaxy-Dawn/expression-skill)** - 報告と応答の規律に使う公開の結論先行コミュニケーション skill
|
||||
- **[nature-skills](https://github.com/Yuan1z0825/nature-skills)** - Nature スタイルの章起草、学術推敲、査読返信、データ可用性 skills をここで再利用し、出典を明記
|
||||
|
||||
これらのプロジェクトは、Claude Scholarの研究指向機能に貴重な知見と基盤を提供しました。
|
||||
|
||||
---
|
||||
|
||||
**データサイエンス、AI研究、学術ライティングのために。**
|
||||
|
||||
リポジトリ: [https://github.com/Galaxy-Dawn/claude-scholar](https://github.com/Galaxy-Dawn/claude-scholar)
|
||||
659
文档润色流和知识库构建流/claude-scholar-upstream/README.md
Normal file
659
文档润色流和知识库构建流/claude-scholar-upstream/README.md
Normal file
@@ -0,0 +1,659 @@
|
||||
<div align="center">
|
||||
<img src="LOGO.png" alt="Claude Scholar Logo" width="100%"/>
|
||||
|
||||
<p>
|
||||
<a href="https://github.com/Galaxy-Dawn/claude-scholar/stargazers"><img src="https://img.shields.io/github/stars/Galaxy-Dawn/claude-scholar?style=flat-square&color=yellow" alt="Stars"/></a>
|
||||
<a href="https://github.com/Galaxy-Dawn/claude-scholar/network/members"><img src="https://img.shields.io/github/forks/Galaxy-Dawn/claude-scholar?style=flat-square" alt="Forks"/></a>
|
||||
<img src="https://img.shields.io/github/last-commit/Galaxy-Dawn/claude-scholar?style=flat-square" alt="Last Commit"/>
|
||||
<img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="License"/>
|
||||
<img src="https://img.shields.io/badge/Claude_Code-Compatible-blueviolet?style=flat-square" alt="Claude Code"/>
|
||||
<img src="https://img.shields.io/badge/Codex_CLI-Compatible-blue?style=flat-square" alt="Codex CLI"/>
|
||||
<img src="https://img.shields.io/badge/OpenCode-Compatible-orange?style=flat-square" alt="OpenCode"/>
|
||||
</p>
|
||||
|
||||
|
||||
<strong>Language</strong>: <a href="README.md">English</a> | <a href="README.zh-CN.md">中文</a> | <a href="README.ja-JP.md">日本語</a>
|
||||
|
||||
</div>
|
||||
|
||||
> Semi-automated research assistant for academic research and software development, especially for computer science and AI researchers. Supports [Claude Code](https://github.com/anthropics/claude-code), [Codex CLI](https://github.com/openai/codex), and [OpenCode](https://github.com/opencode-ai/opencode) across literature review, coding, experiments, reporting, writing, and project knowledge management.
|
||||
|
||||
<p><em>Branch note</em>: the <code>main</code> branch is the Claude Code workflow. If you use Codex CLI, please see the <a href="https://github.com/Galaxy-Dawn/claude-scholar/tree/codex"><code>codex</code> branch</a>. If you use OpenCode, please see the <a href="https://github.com/Galaxy-Dawn/claude-scholar/tree/opencode"><code>opencode</code> branch</a>.</p>
|
||||
|
||||
|
||||
## Recent News
|
||||
|
||||
- **2026-05-14**: **`expression-skill` made the communication core, `planning-with-files` restored as the default persistence layer, and the Nature writing stack expanded** — made [`expression-skill`](./skills/expression-skill/README.md) the explicit conclusion-first discipline for reporting, planning, file operations, and multi-step technical work; reintroduced [`planning-with-files`](./skills/planning-with-files/SKILL.md) as the default on-disk planning and progress-tracking workflow for complex tasks; introduced [`nature-writing`](./skills/nature-writing/README.md) for section drafting and argument construction; refreshed [`nature-polishing`](./skills/nature-polishing/README.md) to the latest upstream article-pattern release; and kept [`nature-response`](./skills/nature-response/README.md) plus [`nature-data`](./skills/nature-data/README.md) in the journal-writing stack.
|
||||
- **2026-05-13**: **Evidence-gated research workflow and `Sources/Papers` routing tightened** — added a shared `research-contract.md` for Evidence Records, claim strength, and Claim Promotion Gates; connected research ideation, Zotero ingestion, literature synthesis, results reporting, writing, and rebuttal workflows to that contract; and clarified that project paper notes live under `Sources/Papers` before promoted claims move into `Knowledge` or `Writing`.
|
||||
- **2026-04-24**: **Project-scoped Obsidian KB workflow consolidated** — rebuilt Obsidian project knowledge management into a vault-first workflow, consolidated the older overlapping memory skills into four focused skills, kept repo-local project binding metadata as a runtime layer, and made project navigation human-first instead of a machine registry dump.
|
||||
- **2026-04-22**: **Lean core, pruned default agents, safer install lifecycle, and cleaner paper discovery** — replaced large always-on `CLAUDE.md` / `AGENTS.md` files with compact core instructions, pruned the default agent set to the retained core agents, added safe install-state based uninstall support, generalized `daily-paper-generator` to broader topics with arXiv / bioRxiv support and a fixed Top 10 -> Top 3 -> Top 1 selection flow.
|
||||
- **2026-04-15**: **pubfig and pubtab introduced** — introduced [`pubfig`](https://github.com/Galaxy-Dawn/pubfig), a Python package for publication-grade scientific figures, and [`pubtab`](https://github.com/Galaxy-Dawn/pubtab), a Python package for publication-ready tables and Excel↔LaTeX workflows. Together they provide a cleaner production stack for paper figures, benchmark tables, export control, and final artifact QA.
|
||||
|
||||
<details>
|
||||
<summary>View older changelog</summary>
|
||||
|
||||
- **2026-04-15**: **[`publication-chart-skill`](./skills/publication-chart-skill/SKILL.md) integrated into Claude Scholar** — wrapped [`pubfig`](https://github.com/Galaxy-Dawn/pubfig) + [`pubtab`](https://github.com/Galaxy-Dawn/pubtab) into [`publication-chart-skill`](./skills/publication-chart-skill/SKILL.md), added the skill to the repository, and connected it to Claude Scholar's analysis and writing boundaries so publication-grade figure/table work now has an explicit handoff route instead of being mixed into general analysis or prose skills.
|
||||
- **2026-03-31**: **Zotero smart-import workflow docs aligned** — updated Claude Scholar's research-facing docs around the latest `zotero-mcp` public surface: `zotero_add_items_by_identifier` is now the default paper-import path, `zotero_reconcile_collection_duplicates` is the standard post-import cleanup step, source-aware PDF cascade behavior is documented more accurately, and public vs internal diagnostics are now clearly separated.
|
||||
- **2026-03-31**: **README onboarding refreshed** — clarified that Claude Scholar is especially well-suited to computer science and AI researchers, added practical getting-started scenarios after installation, improved prerequisite and branch guidance, and made the “existing local md files must be manually merged” expectation much more explicit.
|
||||
- **2026-03-31**: **Installer and hook behavior tightened** — the installer now preserves existing local `CLAUDE.md` while installing the repo-managed version as `CLAUDE.scholar.md`, and the default hook summaries were trimmed to reduce noisy temp-file / uncommitted-file output while keeping safer write-guard behavior.
|
||||
- **2026-03-31**: **Japanese documentation added** — added Japanese docs for the main README plus `AGENTS`, `MCP_SETUP`, and `OBSIDIAN_SETUP`, so the OpenCode branch now has a more complete multilingual documentation surface.
|
||||
|
||||
- **2026-02-25**: **Codex CLI** support — added `codex` branch supporting [OpenAI Codex CLI](https://github.com/openai/codex) with config.toml, 40 skills, 14 agents, and sandbox security
|
||||
- **2026-02-23**: Added `setup.sh` installer — backup-aware incremental updates for existing `~/.opencode`, auto-backup `opencode.jsonc`, additive `agent/mcp/permission/plugin` merge
|
||||
- **2026-02-21**: **OpenCode** support — Claude Scholar now supports [OpenCode](https://github.com/opencode-ai/opencode) as an alternative CLI; switch to the `opencode` branch for OpenCode-compatible configuration
|
||||
- **2026-02-20**: Bilingual docs — maintained English and Chinese entry documents for broader readability
|
||||
- **2026-02-15**: Zotero MCP integration — added `/zotero-review` and `/zotero-notes` commands, updated `research-ideation` skill with Zotero integration guide, enhanced `literature-reviewer` agent with Zotero MCP support for automated paper import, collection management, full-text reading, and citation export
|
||||
- **2026-02-14**: Hooks optimization — restructured `security-guard` to two-tier system (Block + Confirm), `skill-forced-eval` now groups skills into 6 categories with silent scan mode, `session-start` limits display to top 5, `session-summary` adds 30-day log auto-cleanup, `stop-summary` shows separate added/modified/deleted counts; removed deprecated shell scripts (lib/common.sh, lib/platform.sh)
|
||||
- **2026-02-11**: Major update — added 10 new skills (research-ideation, results-analysis, citation-verification, review-response, paper-self-review, post-acceptance, daily-coding, frontend-design, ui-ux-pro-max, web-design-reviewer), 7 new agents, 8 research workflow commands, 2 new rules (security, experiment-reproducibility); restructured the main configuration docs; 89 files changed
|
||||
- **2026-01-26**: Rewrote all Hooks to cross-platform Node.js; completely rewrote README; expanded ML paper writing knowledge base; merged PR #1 (cross-platform support)
|
||||
- **2026-01-25**: Project open-sourced, v1.0.0 released with 25 skills (architecture-design, bug-detective, git-workflow, kaggle-learner, scientific-writing, etc.), 2 agents (paper-miner, kaggle-miner), 30+ commands (including SuperClaude suite), 5 Shell Hooks, and 2 rules (coding-style, agents)
|
||||
|
||||
</details>
|
||||
|
||||
## Quick Navigation
|
||||
|
||||
| Section | What it helps with |
|
||||
|---|---|
|
||||
| [Why Claude Scholar](#why-claude-scholar) | Understand the project positioning and target use cases. |
|
||||
| [Core Workflow](#core-workflow) | See the end-to-end research pipeline from ideation to publication. |
|
||||
| [Quick Start](#quick-start) | Install Claude Scholar in full, minimal, or selective mode. |
|
||||
| [Getting Started Scenarios](#getting-started-scenarios) | See a few realistic first-use scenarios after installation. |
|
||||
| [Integrations](#integrations) | Learn how Zotero and Obsidian fit into the workflow. |
|
||||
| [Primary Workflows](#primary-workflows) | Browse the main research and development workflows. |
|
||||
| [Supporting Workflows](#supporting-workflows) | See the background systems that strengthen the main workflow. |
|
||||
| [Documentation](#documentation) | Jump to setup docs, configuration, and templates. |
|
||||
| [Citation](#citation) | Cite Claude Scholar in papers, reports, or project docs. |
|
||||
|
||||
## Why Claude Scholar
|
||||
|
||||
Claude Scholar is **not** an end-to-end autonomous research system that tries to replace the researcher.
|
||||
|
||||
Its core idea is simple:
|
||||
|
||||
> **human decision-making stays at the center; the assistant accelerates the workflow around it.**
|
||||
|
||||
That means Claude Scholar is designed to help with the heavy, repetitive, and structure-sensitive parts of research — literature organization, note-taking, experiment analysis, reporting, and writing support — while still keeping the key judgments in human hands:
|
||||
|
||||
- which problem is worth pursuing,
|
||||
- which papers actually matter,
|
||||
- which hypotheses are worth testing,
|
||||
- which results are convincing,
|
||||
- and what should be written, submitted, or abandoned.
|
||||
|
||||
In other words, Claude Scholar is a **semi-automated research assistant**, not a “fully automated scientist.”
|
||||
|
||||
## Who This Is For
|
||||
|
||||
Claude Scholar is especially well-suited to:
|
||||
|
||||
- **computer science researchers** who move between literature review, coding, experiments, and paper writing,
|
||||
- **AI / ML researchers** who need one assistant workflow spanning ideation, implementation, analysis, reporting, and rebuttal,
|
||||
- **research engineers and graduate students** who want stronger workflow structure without giving up human judgment,
|
||||
- and **software-heavy academic projects** that benefit from Zotero, Obsidian, CLI automation, and reproducible project memory.
|
||||
|
||||
It can still help in other research settings, but its current workflow design is most aligned with computer science, AI, and adjacent computational research.
|
||||
|
||||
## Core Workflow
|
||||
|
||||
Claude Scholar routes research work through a traceable path:
|
||||
`question -> evidence -> experiment -> analysis -> claim -> writing`.
|
||||
Each stage should preserve what is known, what is uncertain, and what decision should happen next.
|
||||
|
||||
- **Ideation**: turn a vague topic into concrete questions, research gaps, and an initial plan.
|
||||
- **Literature**: search, import, organize, and read papers through Zotero collections.
|
||||
- **Paper notes**: convert papers into structured reading notes and reusable claims.
|
||||
- **Knowledge base**: route durable knowledge into Obsidian across `Sources / Knowledge / Experiments / Results / Results/Reports / Writing / Daily / Maps`.
|
||||
- **Experiments**: track hypotheses, experiment lines, run history, findings, and next actions.
|
||||
- **Analysis**: generate strict statistics, real scientific figures, and analysis artifacts with `results-analysis`.
|
||||
- **Reporting**: produce a complete post-experiment report with `results-report`, then write it back into Obsidian.
|
||||
- **Writing and publication**: carry stable findings into literature reviews, papers, rebuttals, slides, posters, and promotion.
|
||||
|
||||
## Quick Start
|
||||
|
||||
### Requirements
|
||||
|
||||
- [Claude Code](https://github.com/anthropics/claude-code)
|
||||
- Git
|
||||
- (Optional) Python + [uv](https://docs.astral.sh/uv/) for Python development
|
||||
- (Optional) [Zotero](https://www.zotero.org/) + [Galaxy-Dawn/zotero-mcp](https://github.com/Galaxy-Dawn/zotero-mcp) for literature workflows
|
||||
- (Optional) [Obsidian](https://obsidian.md/) for project knowledge-base workflows
|
||||
|
||||
### Option 1: Full Installation (Recommended)
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
bash /tmp/claude-scholar/scripts/setup.sh
|
||||
```
|
||||
|
||||
**Windows**: please use Git Bash or WSL to run the installer.
|
||||
|
||||
The installer is **backup-aware and incremental-update friendly**:
|
||||
- updates repo-managed `skills/commands/agents/rules/hooks/scripts/CLAUDE*.md`,
|
||||
- backs up overwritten files to `~/.claude/.claude-scholar-backups/<timestamp>/`,
|
||||
- backs up `settings.json` to `settings.json.bak`,
|
||||
- preserves an existing `~/.claude/CLAUDE.md` and installs the repo-managed version as `~/.claude/CLAUDE.scholar.md`,
|
||||
- preserves an existing `~/.claude/CLAUDE.zh-CN.md` and installs the repo-managed version as `~/.claude/CLAUDE.zh-CN.scholar.md`,
|
||||
- preserves your existing `env`, model/provider settings, API keys, permissions, and current `mcpServers` values,
|
||||
- adds missing hook entries instead of replacing your entire hook set.
|
||||
|
||||
**Important CLAUDE note**: if you already maintain your own `~/.claude/CLAUDE.md` or `~/.claude/CLAUDE.zh-CN.md`, review `~/.claude/CLAUDE.scholar.md` and `~/.claude/CLAUDE.zh-CN.scholar.md` after installation and manually merge the Claude Scholar sections you want into your own files. Do not assume the sidecar files are applied automatically.
|
||||
|
||||
To update later:
|
||||
|
||||
```bash
|
||||
cd /tmp/claude-scholar
|
||||
git pull --ff-only
|
||||
bash scripts/setup.sh
|
||||
```
|
||||
|
||||
To uninstall later:
|
||||
|
||||
```bash
|
||||
cd /tmp/claude-scholar
|
||||
bash scripts/uninstall.sh
|
||||
```
|
||||
|
||||
The installer now writes:
|
||||
- `~/.claude/.claude-scholar-manifest.txt` for the exact files managed by Claude Scholar
|
||||
- `~/.claude/.claude-scholar-install-state` for install ownership metadata used by safe uninstall
|
||||
|
||||
The uninstaller removes only files and settings entries recorded in that install state. It does not guess ownership from the current repo checkout.
|
||||
|
||||
### Option 2: Minimal Installation
|
||||
|
||||
Install only a small research-focused subset:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
mkdir -p ~/.claude/hooks ~/.claude/skills
|
||||
cp /tmp/claude-scholar/hooks/*.js ~/.claude/hooks/
|
||||
cp -r /tmp/claude-scholar/skills/ml-paper-writing ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/research-ideation ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/results-analysis ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/results-report ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/review-response ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/writing-anti-ai ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/git-workflow ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/bug-detective ~/.claude/skills/
|
||||
```
|
||||
|
||||
**Post-install**: minimal/manual install does **not** auto-merge `settings.json`; copy only the hooks or MCP entries you want from `settings.json.template`. If you already have your own `~/.claude/CLAUDE.md` or `~/.claude/CLAUDE.zh-CN.md`, also merge the relevant sections from this repo's Claude files into yours instead of blindly overwriting them.
|
||||
|
||||
### Option 3: Selective Installation
|
||||
|
||||
Copy only the parts you need:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
cd /tmp/claude-scholar
|
||||
|
||||
cp hooks/*.js ~/.claude/hooks/
|
||||
cp -r skills/latex-conference-template-organizer ~/.claude/skills/
|
||||
cp -r skills/architecture-design ~/.claude/skills/
|
||||
cp agents/paper-miner.md ~/.claude/agents/
|
||||
cp rules/coding-style.md ~/.claude/rules/
|
||||
cp rules/agents.md ~/.claude/rules/
|
||||
```
|
||||
|
||||
**Post-install**: selective/manual install does **not** auto-merge `settings.json`; copy only the hooks or MCP entries you actually want from `settings.json.template`. If you already have your own `~/.claude/CLAUDE.md` or `~/.claude/CLAUDE.zh-CN.md`, merge the relevant sections from this repo's Claude files into yours instead of blindly overwriting them.
|
||||
|
||||
### Option 4: Plugin Marketplace Installation
|
||||
|
||||
**Step 1: Install the Plugin**
|
||||
|
||||
```bash
|
||||
/plugin marketplace add Galaxy-Dawn/claude-scholar
|
||||
/plugin install claude-scholar@claude-scholar
|
||||
```
|
||||
|
||||
This auto-loads all skills, commands, agents, and hooks. During installation, you can choose the scope: user (all projects) or project (single project).
|
||||
|
||||
**Step 2: Install Rules (Required)**
|
||||
|
||||
Claude Code plugins cannot distribute rules automatically. Install them manually:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
|
||||
# User-level (all projects)
|
||||
mkdir -p ~/.claude/rules
|
||||
cp /tmp/claude-scholar/rules/*.md ~/.claude/rules/
|
||||
|
||||
# Or project-level (current project only)
|
||||
mkdir -p .claude/rules
|
||||
cp /tmp/claude-scholar/rules/*.md .claude/rules/
|
||||
```
|
||||
|
||||
**Post-install**: plugin installation does **not** auto-load `CLAUDE.md` or configure `settings.json`; if you already have your own `~/.claude/CLAUDE.md` or `~/.claude/CLAUDE.zh-CN.md`, merge the relevant Claude Scholar sections into yours instead of assuming the plugin applies them automatically. If you need Zotero MCP or other integrations, see the [Integrations](#integrations) section for manual setup.
|
||||
|
||||
## Getting Started Scenarios
|
||||
|
||||
After installation, the simplest way to begin is to describe your task in natural language. You do not need to memorize the whole system first. Below are a few realistic starting points.
|
||||
|
||||
### 1. Start a New Research Topic
|
||||
**You can say:**
|
||||
> Help me start research on [your topic]. I want a literature-grounded plan, the key open questions, and the next concrete steps.
|
||||
|
||||
**What Claude Scholar will typically help with:**
|
||||
- clarify the topic and narrow the research question,
|
||||
- identify promising literature directions,
|
||||
- suggest an initial plan or hypothesis list,
|
||||
- optionally route the work into Zotero or Obsidian if you use them.
|
||||
|
||||
### 2. Review a Zotero Collection
|
||||
**You can say:**
|
||||
> Review my Zotero collection on brain foundation models and summarize the main directions, gaps, and promising next steps.
|
||||
|
||||
**Typical output:**
|
||||
- paper grouping by theme,
|
||||
- a short literature synthesis,
|
||||
- gap analysis,
|
||||
- candidate research directions worth pursuing next.
|
||||
|
||||
### 3. Analyze Finished Experiment Results
|
||||
**You can say:**
|
||||
> Analyze the results in this experiment folder, check what changed across runs, and write a decision-oriented summary.
|
||||
|
||||
**Typical output:**
|
||||
- metric comparison,
|
||||
- ablation or error-analysis suggestions,
|
||||
- a result summary that highlights what is solid, what is weak, and what to run next.
|
||||
|
||||
### 4. Draft a Paper or Rebuttal Section
|
||||
**You can say:**
|
||||
> Help me draft the related work section for this project based on the current findings and paper notes.
|
||||
|
||||
or:
|
||||
|
||||
> Help me write a rebuttal draft for these reviewer comments.
|
||||
|
||||
**Typical output:**
|
||||
- a structured section draft,
|
||||
- improved argument flow,
|
||||
- clearer claims and evidence mapping,
|
||||
- follow-up points that still need support or verification.
|
||||
|
||||
### Practical Notes
|
||||
- Start with one concrete task, not a vague request for "everything."
|
||||
- If you already maintain your own local `CLAUDE.md` files, merge the Claude Scholar sections you want into them instead of assuming sidecar files apply automatically.
|
||||
- Zotero and Obsidian are optional, but they become much more useful when you want durable literature notes or project memory rather than one-off chat output.
|
||||
|
||||
## Platform Support
|
||||
|
||||
Claude Scholar is maintained for:
|
||||
|
||||
- **Claude Code** — the primary installation target.
|
||||
- **Codex CLI** — supported workflow and documentation are available in this repo ecosystem.
|
||||
- **OpenCode** — supported as an alternative CLI workflow.
|
||||
|
||||
The top-level workflow is the same: research, coding, experiments, reporting, and project knowledge management.
|
||||
|
||||
## Integrations
|
||||
|
||||
### Zotero
|
||||
|
||||
Use Zotero when you want Claude Scholar to help with:
|
||||
- paper import via DOI / arXiv / URL,
|
||||
- collection-based reading workflows,
|
||||
- full-text access through Zotero MCP,
|
||||
- detailed paper notes and literature synthesis.
|
||||
|
||||
See [MCP_SETUP.md](./MCP_SETUP.md).
|
||||
|
||||
### Obsidian
|
||||
|
||||
Use Obsidian when you want Claude Scholar to maintain a filesystem-first research knowledge base:
|
||||
- `Sources/`
|
||||
- `Knowledge/`
|
||||
- `Experiments/`
|
||||
- `Results/`
|
||||
- `Results/Reports/`
|
||||
- `Writing/`
|
||||
- `Daily/`
|
||||
- `Maps/`
|
||||
|
||||
See [OBSIDIAN_SETUP.md](./OBSIDIAN_SETUP.md).
|
||||
|
||||
## Primary Workflows
|
||||
|
||||
Complete academic research lifecycle — 7 stages from idea to publication.
|
||||
|
||||
### 1. Research Ideation (Zotero-Integrated)
|
||||
|
||||
End-to-end research startup from idea generation to literature management.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `research-ideation` | Turn vague topics into structured questions, gap analysis, and an initial research plan. |
|
||||
| Agent | `literature-reviewer` | Search, classify, and synthesize papers into an actionable literature picture. |
|
||||
| Command | `/research-init` | Start a new topic with literature search, Zotero organization, research question cards, and proposal drafting only when the evidence gate passes. |
|
||||
| Command | `/zotero-review` | Review an existing Zotero collection and generate a structured literature synthesis. |
|
||||
| Command | `/zotero-notes` | Batch-read a Zotero collection and create structured paper reading notes. |
|
||||
|
||||
**How it works**
|
||||
- **5W1H Brainstorming**: turn a vague topic into structured questions (`What / Why / Who / When / Where / How`).
|
||||
- **Literature Search & Import**: search papers, extract DOI/arXiv/URLs, import them into Zotero, and organize them into themed collections.
|
||||
- **PDF & Full Text**: attach PDFs when available, read full text when possible, and fall back to abstract-level analysis when necessary.
|
||||
- **Gap Analysis**: identify literature, methodological, application, interdisciplinary, or temporal gaps.
|
||||
- **Research Question & Planning**: convert the review into concrete questions, initial hypotheses, and next-step planning.
|
||||
- **Evidence Gate**: keep weak sources, project hypotheses, and missing evidence explicit before promoting a claim into `Knowledge`, `Writing`, or a proposal.
|
||||
|
||||
**Typical output**
|
||||
- research question cards with hypotheses, evidence needs, falsification criteria, and next actions
|
||||
- literature review notes
|
||||
- structured Zotero collection
|
||||
- project proposal only when the selected question has enough verified evidence; otherwise a research direction / intake draft
|
||||
|
||||
### 2. ML Project Development
|
||||
|
||||
Maintainable ML project structure for experiment code and iteration.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `architecture-design` | Define maintainable ML project structure when new registrable components or modules are introduced. |
|
||||
| Skill | `git-workflow` | Enforce branch hygiene, commit conventions, and safer collaboration workflows. |
|
||||
| Skill | `bug-detective` | Debug stack traces, shell failures, and code-path issues systematically. |
|
||||
| Agent | `code-reviewer` | Review modified code for correctness, maintainability, and implementation quality. |
|
||||
| Agent | `tdd-guide` | Provide focused test-driven implementation guidance when a TDD path is explicitly needed. |
|
||||
| Command | `/plan` | Create or refine an implementation plan before coding. |
|
||||
| Command | `/commit` | Prepare a conventional commit for the current changes. |
|
||||
| Command | `/code-review` | Run a focused review on the current code changes. |
|
||||
| Command | `/tdd` | Drive feature work through small, test-backed implementation steps. |
|
||||
|
||||
**How it works**
|
||||
- **Structure**: use Factory / Registry patterns for new ML components when appropriate.
|
||||
- **Code Quality**: keep files maintainable, typed, and config-driven.
|
||||
- **Debugging**: inspect stack traces, shell failures, and code-path issues systematically.
|
||||
- **Git Discipline**: use branch hygiene, conventional commits, and safer merge/rebase workflows.
|
||||
|
||||
### 3. Experiment Analysis
|
||||
|
||||
Strict analysis of experimental results with scientific figures and report-ready artifacts.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `results-analysis` | Produce a strict analysis bundle with rigorous statistics, real scientific figures, and analysis artifacts. |
|
||||
| Skill | `results-report` | Turn analysis artifacts into a complete post-experiment report with decisions, limitations, and next actions. |
|
||||
| Command | `/analyze-results` | Run a blocker-first experiment workflow: validate evidence, run strict analysis when possible, then generate a report only when the bundle is sufficient. |
|
||||
|
||||
**How it works**
|
||||
- **Data Processing**: read experiment logs, metrics files, and result directories.
|
||||
- **Blocker-First Gate**: lock unit of analysis, primary metric, seeds/folds/runs, provenance, and comparison family before producing claims.
|
||||
- **Statistical Testing**: run strict statistical checks such as t-test / ANOVA / Wilcoxon where appropriate.
|
||||
- **Visualization**: generate real scientific figures with interpretation guidance, not just vague plotting suggestions.
|
||||
- **Ablation & Comparison**: analyze component contribution, performance tradeoffs, and stability.
|
||||
- **Post-Experiment Reporting**: turn the analysis bundle into a full retrospective report with conclusions, limitations, and next actions.
|
||||
|
||||
**Typical output**
|
||||
- `analysis-report.md`
|
||||
- `stats-appendix.md`
|
||||
- `figure-catalog.md`
|
||||
- `figures/`
|
||||
- post-experiment summary report in Obsidian `Results/Reports/`
|
||||
- blocker summary / audit note when evidence is incomplete
|
||||
|
||||
### 4. Paper Writing
|
||||
|
||||
Systematic academic writing from structure setup to draft refinement.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `ml-paper-writing` | Draft publication-oriented ML/AI papers from repo context, evidence, and literature. |
|
||||
| Skill | [`nature-writing`](./skills/nature-writing/README.md) | Draft or rebuild Nature-style manuscript sections from claims, figures, results, notes, or Chinese drafts. |
|
||||
| Skill | [`nature-polishing`](./skills/nature-polishing/README.md) | Polish, restructure, or translate manuscript prose into concise Nature-leaning English. |
|
||||
| Skill | [`nature-response`](./skills/nature-response/README.md) | Draft, audit, or revise point-by-point reviewer response letters for Nature-family revisions. |
|
||||
| Skill | [`nature-data`](./skills/nature-data/README.md) | Prepare Nature-ready Data Availability statements, repository plans, and FAIR metadata checks. |
|
||||
| Skill | `citation-verification` | Check references, metadata, and claim-citation alignment to prevent citation mistakes. |
|
||||
| Skill | `writing-anti-ai` | Reduce robotic phrasing and improve clarity, rhythm, and human academic tone. |
|
||||
| Skill | `latex-conference-template-organizer` | Clean messy conference templates into an Overleaf-ready writing structure. |
|
||||
| Agent | `paper-miner` | Mine strong papers for reusable writing patterns, structure, and venue expectations. |
|
||||
| Command | `/mine-writing-patterns` | Read a paper and merge reusable writing knowledge into the active installed paper-miner writing memory. |
|
||||
|
||||
**How it works**
|
||||
- **Template Preparation**: clean conference templates into an Overleaf-ready structure.
|
||||
- **Journal-Style Polishing**: tighten paragraph logic, hedging, and section moves for Nature-leaning prose when needed.
|
||||
- **Reviewer Response**: structure major/minor revision comments into an auditable point-by-point response package.
|
||||
- **Data Availability**: prepare Nature-ready repository plans, dataset citations, and availability statements.
|
||||
- **Citation Verification**: verify references, metadata, and claim-citation alignment.
|
||||
- **Systematic Writing**: draft sections from repo context, experiment evidence, and literature notes, while keeping unsupported claims marked instead of polished.
|
||||
- **Claim Ledger**: every contribution, result, and contrast should trace to evidence or remain explicitly speculative.
|
||||
- **Style Refinement**: reduce robotic phrasing and improve rhythm, clarity, and tone.
|
||||
|
||||
### 5. Paper Self-Review
|
||||
|
||||
Quality assurance before submission.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `paper-self-review` | Audit structure, logic, citations, figures, and compliance before submission. |
|
||||
|
||||
**How it works**
|
||||
- **Structure Check**: logical flow, section balance, and narrative coherence.
|
||||
- **Logic Validation**: claim-evidence alignment, assumption clarity, and argument consistency.
|
||||
- **Claim Audit**: verify that main claims are supported by evidence, weaken over-strong language, and preserve uncertainty when needed.
|
||||
- **Citation Audit**: reference correctness and completeness.
|
||||
- **Figure Quality**: caption completeness, readability, and accessibility.
|
||||
- **Compliance**: page limits, formatting, and disclosure requirements.
|
||||
|
||||
### 6. Submission & Rebuttal
|
||||
|
||||
Submission preparation and review response workflow.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `review-response` | Structure reviewer comments into an evidence-based rebuttal workflow. |
|
||||
| Agent | `rebuttal-writer` | Optional specialist for professional, respectful, and strategically organized rebuttal text when available. |
|
||||
| Command | `/rebuttal` | Generate an evidence-anchored rebuttal draft from review comments, with unresolved points marked instead of hidden. |
|
||||
|
||||
**How it works**
|
||||
- **Pre-submission Checks**: venue-specific formatting, anonymization, and checklist requirements.
|
||||
- **Review Analysis**: classify reviewer comments into actionable categories.
|
||||
- **Response Strategy**: decide whether to accept, defend, clarify, or propose new experiments.
|
||||
- **Rebuttal Writing**: generate structured responses with professional tone, evidence anchors, and explicit unresolved items.
|
||||
|
||||
### 7. Post-Acceptance Processing
|
||||
|
||||
Conference preparation and research promotion after acceptance.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `post-acceptance` | Support talks, posters, and research promotion after acceptance. |
|
||||
| Command | `/presentation` | Generate presentation structure and speaking guidance for the accepted work. |
|
||||
| Command | `/poster` | Organize the work into poster-ready content and layout guidance. |
|
||||
| Command | `/promote` | Draft public-facing promotion content such as summaries, posts, or threads. |
|
||||
|
||||
**How it works**
|
||||
- **Presentation**: prepare talk structure and slide guidance.
|
||||
- **Poster**: organize content into poster-ready layout and hierarchy.
|
||||
- **Promotion**: generate social media, blog, or summary material for broader communication.
|
||||
|
||||
## Supporting Workflows
|
||||
|
||||
These workflows run in the background to strengthen the primary workflows.
|
||||
|
||||
### Obsidian Project Knowledge Base
|
||||
|
||||
Use Obsidian as the project-scoped durable knowledge surface, not just as a note dump.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `obsidian-project-kb-core` | Main authority for project-scoped KB bootstrap, routing, registry, index, daily, and lifecycle updates. |
|
||||
| Skill | `obsidian-source-ingestion` | Ingest external material into `Sources/Papers`, `Sources/Web`, `Sources/Docs`, `Sources/Data`, `Sources/Interviews`, or `Sources/Notes`. |
|
||||
| Skill | `obsidian-literature-workflow` | Run the paper-note to synthesis workflow from `Sources/Papers` into `Knowledge`, `Writing`, and `Maps/literature.canvas`. |
|
||||
| Skill | `obsidian-kb-artifacts` | Handle Obsidian-native artifacts such as wikilinks, registry tables, canvas files, optional Bases, and link repair. |
|
||||
| Command | `/kb-init` | Initialize the vault-first KB under `Research/{project-slug}/`. |
|
||||
| Command | `/kb-status` | Summarize the current KB state from the bound project root. |
|
||||
| Command | `/kb-ingest` | Route new source material into the correct canonical KB destination. |
|
||||
| Command | `/kb-log` | Update the current Daily note and related project surfaces conservatively. |
|
||||
| Command | `/kb-sync` | Run deterministic KB maintenance to refresh registry, index, daily, and runtime binding state. |
|
||||
| Command | `/kb-links` | Repair or strengthen wikilinks among canonical KB notes. |
|
||||
| Command | `/kb-promote` | Promote durable content from Daily or source notes into canonical notes. |
|
||||
| Command | `/kb-index` | Regenerate `02-Index.md` as the human-readable project navigator. |
|
||||
| Command | `/kb-lint` | Run deterministic KB health checks and update `_system/lint-report.md`. |
|
||||
| Command | `/kb-archive` | Archive, detach, purge, or rename KB objects while keeping links and registry consistent. |
|
||||
| Command | `/kb-map` | Generate or repair explicit-only KB artifacts beyond the default literature canvas. |
|
||||
| Command | `/kb-literature-review` | Generate evidence-gated literature synthesis from `Sources/Papers` into `Knowledge`, optional `Writing`, and `Maps/literature.canvas`. |
|
||||
|
||||
**How it works**
|
||||
- bind an existing repo to an Obsidian vault,
|
||||
- route stable knowledge into `Sources / Knowledge / Experiments / Results / Results/Reports / Writing / Daily / Maps`,
|
||||
- keep `Daily/` and repo-local binding metadata updated conservatively,
|
||||
- ingest new source material into the correct canonical destination,
|
||||
- keep abstract-only and webpage-placeholder sources from supporting durable claims,
|
||||
- only generate extra Bases or canvases on explicit request.
|
||||
- use `/kb-sync` for deterministic resyncs and `/kb-links` for standalone link repair.
|
||||
|
||||
**Note language configuration**
|
||||
|
||||
Generated and synced Obsidian notes resolve their language with this priority:
|
||||
1. project config: `.claude/project-memory/registry.yaml` -> `note_language`
|
||||
2. environment variable: `OBSIDIAN_NOTE_LANGUAGE`
|
||||
3. default: `en`
|
||||
|
||||
Note: the file is currently named `registry.yaml` for historical reasons, but its on-disk format is JSON.
|
||||
|
||||
Per-project example:
|
||||
|
||||
```json
|
||||
{
|
||||
"projects": {
|
||||
"my-project": {
|
||||
"project_id": "my-project",
|
||||
"vault_root": "/path/to/vault/Research/my-project",
|
||||
"note_language": "zh-CN"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
English and Chinese section headings remain mutually compatible during sync, so older notes in either language can still be updated safely after switching configuration.
|
||||
|
||||
### Automated Enforcement Workflow
|
||||
|
||||
Cross-platform hooks automate routine workflow checks and reminders.
|
||||
|
||||
**Hooks**
|
||||
- `skill-forced-eval.js`
|
||||
- `session-start.js`
|
||||
- `session-summary.js`
|
||||
- `stop-summary.js`
|
||||
- `security-guard.js`
|
||||
|
||||
**How it works**
|
||||
- **Before prompts**: evaluate applicable skills and surface relevant workflow hints.
|
||||
- **At session start**: show Git state, available commands, and project-memory context.
|
||||
- **At session end/stop**: summarize work and remind the user about minimum maintenance tasks.
|
||||
- **Security**: block catastrophic commands and require confirmation for dangerous but legitimate ones.
|
||||
|
||||
### Communication and Reporting Discipline
|
||||
|
||||
Use a reusable communication layer when the task needs conclusion-first reporting, concrete evidence, visible risk, or compact next-step guidance.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | [`expression-skill`](./skills/expression-skill/README.md) | Enforces conclusion-first, concrete, checkable communication for technical work, writing, documentation, file operations, and multi-step tasks. |
|
||||
| Skill | [`planning-with-files`](./skills/planning-with-files/SKILL.md) | Makes complex work persistent on disk with `task_plan.md`, `notes.md`, and deliverable files instead of relying only on transient chat context. |
|
||||
|
||||
**How it works**
|
||||
- lead with the conclusion instead of narration,
|
||||
- prefer commands, paths, counts, checks, and observable behavior over abstract process language,
|
||||
- ask clarifying questions only when ambiguity changes the outcome,
|
||||
- surface risk, uncertainty, and destructive boundaries early,
|
||||
- keep long-running work visible with step / checkpoint style roadmarks,
|
||||
- persist multi-step work to disk with `task_plan.md` and `notes.md` instead of relying only on transient context.
|
||||
|
||||
### Knowledge Extraction Workflow
|
||||
|
||||
Specialized agents can mine reusable knowledge from papers and competitions.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Agent | `paper-miner` | Extract reusable writing knowledge, structure patterns, and venue heuristics from strong papers. |
|
||||
| Agent | `kaggle-miner` | Extract engineering practices and solution patterns from strong Kaggle workflows. |
|
||||
|
||||
**How it works**
|
||||
- extract writing patterns, venue expectations, and rebuttal strategies from papers,
|
||||
- extract engineering patterns and solution structure from Kaggle workflows,
|
||||
- feed those insights back into skills and reference material.
|
||||
|
||||
### Skill Evolution System
|
||||
|
||||
Claude Scholar also contains a self-improvement loop for its own skills.
|
||||
|
||||
| Type | Name | One-line explanation |
|
||||
|---|---|---|
|
||||
| Skill | `skill-development` | Create new skills with clear triggers, structure, and progressive disclosure. |
|
||||
| Skill | `skill-quality-reviewer` | Review skills across content quality, organization, style, and structural integrity. |
|
||||
| Skill | `skill-improver` | Apply structured improvement plans to evolve existing skills. |
|
||||
|
||||
**How it works**
|
||||
- create new skills with clear trigger descriptions,
|
||||
- review them across quality dimensions,
|
||||
- apply structured improvements and iterate.
|
||||
|
||||
## Documentation
|
||||
|
||||
- [MCP_SETUP.md](./MCP_SETUP.md) — Zotero/browser MCP setup
|
||||
- [OBSIDIAN_SETUP.md](./OBSIDIAN_SETUP.md) — Obsidian knowledge base workflow
|
||||
- [CLAUDE.md](./CLAUDE.md) — lightweight Claude Code core instructions
|
||||
- [CLAUDE.zh-CN.md](./CLAUDE.zh-CN.md) — Chinese companion for the lightweight core instructions
|
||||
- [settings.json.template](./settings.json.template) — optional settings template for hooks/plugins/MCP
|
||||
|
||||
## Project Rules
|
||||
|
||||
Claude Scholar includes project rules for:
|
||||
- coding style,
|
||||
- agent orchestration,
|
||||
- security,
|
||||
- experiment reproducibility.
|
||||
|
||||
These are reflected in the shipped rules and in `CLAUDE.md`.
|
||||
|
||||
## Contributing
|
||||
|
||||
Issues, PRs, and workflow improvements are welcome.
|
||||
|
||||
If you propose changes to installer behavior, Zotero workflows, or Obsidian routing, please include:
|
||||
- the user scenario,
|
||||
- the current limitation,
|
||||
- the expected behavior,
|
||||
- and any compatibility concerns.
|
||||
|
||||
## License
|
||||
|
||||
MIT License.
|
||||
|
||||
## Citation
|
||||
|
||||
If Claude Scholar helps your research or engineering workflow, you can cite the repository as:
|
||||
|
||||
```bibtex
|
||||
@misc{claude_scholar_2026,
|
||||
title = {Claude Scholar: Semi-automated research assistant for academic research and software development},
|
||||
author = {Gaorui Zhang},
|
||||
year = {2026},
|
||||
howpublished = {\url{https://github.com/Galaxy-Dawn/claude-scholar}},
|
||||
note = {GitHub repository}
|
||||
}
|
||||
```
|
||||
|
||||
## Acknowledgments
|
||||
|
||||
Built with Claude Code CLI and enhanced by the open-source community.
|
||||
|
||||
### References
|
||||
|
||||
This project is inspired by and builds upon excellent work from the community:
|
||||
|
||||
- **[everything-claude-code](https://github.com/anthropics/everything-claude-code)** - Comprehensive resource for Claude Code CLI
|
||||
- **[AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs)** - Research-focused skills and configurations
|
||||
- **[expression-skill](https://github.com/Galaxy-Dawn/expression-skill)** - Public conclusion-first communication skill reused here for reporting and response discipline
|
||||
- **[nature-skills](https://github.com/Yuan1z0825/nature-skills)** - Nature-oriented writing, polishing, reviewer-response, and data-availability skills reused here with attribution
|
||||
|
||||
These projects provided valuable insights and foundations for the research-oriented features in Claude Scholar.
|
||||
|
||||
---
|
||||
|
||||
**For data science, AI research, and academic writing.**
|
||||
|
||||
Repository: [https://github.com/Galaxy-Dawn/claude-scholar](https://github.com/Galaxy-Dawn/claude-scholar)
|
||||
655
文档润色流和知识库构建流/claude-scholar-upstream/README.zh-CN.md
Normal file
655
文档润色流和知识库构建流/claude-scholar-upstream/README.zh-CN.md
Normal file
@@ -0,0 +1,655 @@
|
||||
<div align="center">
|
||||
<img src="LOGO.png" alt="Claude Scholar Logo" width="100%"/>
|
||||
|
||||
<p>
|
||||
<a href="https://github.com/Galaxy-Dawn/claude-scholar/stargazers"><img src="https://img.shields.io/github/stars/Galaxy-Dawn/claude-scholar?style=flat-square&color=yellow" alt="Stars"/></a>
|
||||
<a href="https://github.com/Galaxy-Dawn/claude-scholar/network/members"><img src="https://img.shields.io/github/forks/Galaxy-Dawn/claude-scholar?style=flat-square" alt="Forks"/></a>
|
||||
<img src="https://img.shields.io/github/last-commit/Galaxy-Dawn/claude-scholar?style=flat-square" alt="Last Commit"/>
|
||||
<img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="License"/>
|
||||
<img src="https://img.shields.io/badge/Claude_Code-Compatible-blueviolet?style=flat-square" alt="Claude Code"/>
|
||||
<img src="https://img.shields.io/badge/Codex_CLI-Compatible-blue?style=flat-square" alt="Codex CLI"/>
|
||||
<img src="https://img.shields.io/badge/OpenCode-Compatible-orange?style=flat-square" alt="OpenCode"/>
|
||||
</p>
|
||||
|
||||
|
||||
<strong>语言</strong>: <a href="README.md">English</a> | <a href="README.zh-CN.md">中文</a> | <a href="README.ja-JP.md">日本語</a>
|
||||
|
||||
</div>
|
||||
|
||||
> 面向学术研究和软件开发的半自动研究助手，尤其适合计算机科学与 AI 研究者。支持 [Claude Code](https://github.com/anthropics/claude-code)、[Codex CLI](https://github.com/openai/codex) 和 [OpenCode](https://github.com/opencode-ai/opencode)，覆盖文献管理、编码、实验分析、结果报告、写作与项目知识库维护。
|
||||
|
||||
<p><em>分支说明</em>：<code>main</code> 分支对应 Claude Code 工作流。如果你使用 Codex CLI，请查看 <a href="https://github.com/Galaxy-Dawn/claude-scholar/tree/codex"><code>codex</code> 分支</a>；如果你使用 OpenCode，请查看 <a href="https://github.com/Galaxy-Dawn/claude-scholar/tree/opencode"><code>opencode</code> 分支</a>。</p>
|
||||
|
||||
## 最新动态
|
||||
|
||||
- **2026-05-14**: **将 `expression-skill` 提升为核心表达层，把 `planning-with-files` 恢复为默认持久规划层，并继续扩展 Nature 写作栈** — 把 [`expression-skill`](./skills/expression-skill/README.md) 明确为汇报、规划、文件操作和多步骤技术任务的结论先行表达纪律；将 [`planning-with-files`](./skills/planning-with-files/SKILL.md) 重新接回默认的落盘规划与进度跟踪工作流，用 `task_plan.md` / `notes.md` 管理复杂任务；引入用于章节起草与论证构建的 [`nature-writing`](./skills/nature-writing/README.md)；将 [`nature-polishing`](./skills/nature-polishing/README.md) 刷新到上游最新 article-pattern 版本；并继续保留 [`nature-response`](./skills/nature-response/README.md) 与 [`nature-data`](./skills/nature-data/README.md) 作为 journal-writing 栈的一部分。
|
||||
- **2026-05-13**: **证据门槛研究工作流与 `Sources/Papers` 路由完成收紧** — 新增共享的 `research-contract.md`，统一 Evidence Records、claim strength 和 Claim Promotion Gate；将研究构思、Zotero 导入、文献综合、结果报告、论文写作与 rebuttal 工作流接入同一证据契约；并明确项目论文源笔记先放在 `Sources/Papers`，通过证据门槛后再进入 `Knowledge` 或 `Writing`。
|
||||
- **2026-04-24**: **项目级 Obsidian KB 工作流完成合并** — 将 Obsidian 项目知识管理重构为以 vault 为中心的工作流，把旧的重叠记忆技能合并为四个核心技能，保留仓库本地的项目绑定元数据作为运行时层，并把项目导航改成人类优先，而不是机器注册表清单。
|
||||
- **2026-04-22**: **精简核心指令、裁剪默认 agents、安全安装生命周期与通用论文发现流程** — 将大型常驻 `CLAUDE.md` / `AGENTS.md` 改为紧凑核心指令，裁剪默认 agent 集合并保留主链路所需的核心 agents，新增基于安装状态的安全卸载支持，将 `daily-paper-generator` 扩展为面向通用主题的 arXiv / bioRxiv 检索与 Top 10 -> Top 3 -> Top 1 固定筛选流程。
|
||||
- **2026-04-15**: **提出 pubfig 与 pubtab 两个 Python package** — 推出了 [`pubfig`](https://github.com/Galaxy-Dawn/pubfig)（用于论文级 scientific figures）和 [`pubtab`](https://github.com/Galaxy-Dawn/pubtab)（用于 publication-ready tables 与 Excel↔LaTeX workflows）两个独立 Python package，为研究者提供更清晰的论文图、benchmark 表、导出控制与最终 QA 生产路径。
|
||||
|
||||
<details>
|
||||
<summary>查看历史更新日志</summary>
|
||||
|
||||
- **2026-04-15**: **将 [`publication-chart-skill`](./skills/publication-chart-skill/SKILL.md) 融入 Claude Scholar** — 把 [`pubfig`](https://github.com/Galaxy-Dawn/pubfig) + [`pubtab`](https://github.com/Galaxy-Dawn/pubtab) 封装成 [`publication-chart-skill`](./skills/publication-chart-skill/SKILL.md)，加入仓库，并接到 Claude Scholar 的分析/写作边界里，让论文级图表工作有了明确的交接路径，而不是继续混在通用分析或文本写作技能里。
|
||||
- **2026-03-31**: **Zotero smart-import 工作流文档完成对齐** — 围绕最新 `zotero-mcp` 的公开能力，系统更新了 Claude Scholar 的研究工作流文档：将 `zotero_add_items_by_identifier` 明确为默认论文导入入口，把 `zotero_reconcile_collection_duplicates` 设为标准导入后清理步骤，更准确地说明了来源感知 PDF cascade，同时把公开工具与内部诊断能力的边界重新讲清楚了。
|
||||
- **2026-03-31**: **README 上手路径完成刷新** — 明确了 Claude Scholar 尤其适合计算机科学与 AI 研究者，在安装说明后补充了更贴近真实使用的上手场景，进一步收紧了前置条件和分支说明，并把“如果用户本地已有 md 文件，需要手动合并”这件事写得更明确。
|
||||
- **2026-03-31**: **安装器与 hooks 行为进一步收口** — 安装器现在会保留已有的本地 `CLAUDE.md`，并把仓库版本作为 `CLAUDE.scholar.md` 旁路文件安装；同时默认 hooks 的摘要输出进一步降噪，减少临时文件和未提交文件提示的噪声，同时保留更安全的写入守卫边界。
|
||||
- **2026-03-31**: **日文文档补齐** — 为主 README 以及 `AGENTS`、`MCP_SETUP`、`OBSIDIAN_SETUP` 补充了日文文档，使 OpenCode 分支的多语言文档入口更完整。
|
||||
|
||||
- **2026-02-25**: **Codex CLI** 支持 — 新增 `codex` 分支，支持 [OpenAI Codex CLI](https://github.com/openai/codex)，包含 config.toml、40 个 skills、14 个 agents 和 sandbox 安全机制
|
||||
- **2026-02-23**: 新增 `setup.sh` 安装脚本 — 面向已有 `~/.opencode` 的带备份增量更新，自动备份 `opencode.jsonc`，以追加方式合并 `agent/mcp/permission/plugin`
|
||||
- **2026-02-21**: **OpenCode** 支持 — Claude Scholar 现已支持 [OpenCode](https://github.com/opencode-ai/opencode) 作为替代 CLI；切换到 `opencode` 分支获取兼容配置
|
||||
- **2026-02-20**: 双语文档 — 维护英文与中文入口文档，便于不同读者阅读
|
||||
- **2026-02-15**: Zotero MCP 集成 — 新增 `/zotero-review` 和 `/zotero-notes` 命令，更新 `research-ideation` skill 添加 Zotero 集成指南，增强 `literature-reviewer` agent 支持 Zotero MCP 自动论文导入、集合管理、全文阅读和引用导出
|
||||
- **2026-02-14**: Hooks 优化 — `security-guard` 重构为两层系统（Block + Confirm），`skill-forced-eval` 按 6 类分组并切换为静默扫描模式，`session-start` 限制显示前 5 项，`session-summary` 新增 30 天日志自动清理，`stop-summary` 分别显示新增/修改/删除计数；移除废弃的 shell 脚本（lib/common.sh、lib/platform.sh）
|
||||
- **2026-02-11**: 大版本更新 — 新增 10 个 skills（research-ideation、results-analysis、citation-verification、review-response、paper-self-review、post-acceptance、daily-coding、frontend-design、ui-ux-pro-max、web-design-reviewer）、7 个 agents、8 个研究工作流命令、2 条新规则（security、experiment-reproducibility）；重构主配置文档；涉及 89 个文件
|
||||
- **2026-01-26**: 所有 Hooks 重写为跨平台 Node.js 版本；README 完全重写；扩展 ML 论文写作知识库；合并 PR #1（跨平台支持）
|
||||
- **2026-01-25**: 项目正式开源，v1.0.0 发布，包含 25 个 skills（architecture-design、bug-detective、git-workflow、kaggle-learner、scientific-writing 等）、2 个 agents（paper-miner、kaggle-miner）、30+ 个命令（含 SuperClaude 命令套件）、5 个 Shell Hooks、2 条规则（coding-style、agents）
|
||||
|
||||
</details>
|
||||
|
||||
## 快速导航
|
||||
|
||||
| 部分 | 作用 |
|
||||
|---|---|
|
||||
| [为什么使用 Claude Scholar](#为什么使用-claude-scholar) | 快速理解项目定位和适用场景。 |
|
||||
| [核心工作流](#核心工作流) | 查看从研究构思到发表的主链路。 |
|
||||
| [快速开始](#快速开始) | 选择完整、最小或选择性安装方式。 |
|
||||
| [上手场景](#上手场景) | 查看安装完成后几种最常见的上手场景。 |
|
||||
| [集成能力](#集成能力) | 了解 Zotero 和 Obsidian 如何接入工作流。 |
|
||||
| [主要工作流](#主要工作流) | 查看核心研究与开发工作流。 |
|
||||
| [支撑工作流](#支撑工作流) | 查看支撑主工作流的后台机制。 |
|
||||
| [文档入口](#文档入口) | 快速跳转到 setup、配置和模板文档。 |
|
||||
| [引用](#引用) | 在论文、报告或项目文档中引用 Claude Scholar。 |
|
||||
|
||||
## 为什么使用 Claude Scholar
|
||||
|
||||
Claude Scholar **不是**那种试图替代研究者、追求端到端全自动化科研的系统。
|
||||
|
||||
它的核心思想很简单：
|
||||
|
||||
> **以人的决策为中心，让助手去加速科研流程，而不是替人做最终判断。**
|
||||
|
||||
这意味着 Claude Scholar 更适合承担科研中那些高重复、重结构、但仍需要人来把关的环节，例如文献整理、知识沉淀、实验分析、结果汇报和写作辅助；而真正关键的判断始终应该由研究者自己做出：
|
||||
|
||||
- 这个问题值不值得做，
|
||||
- 哪些文献真正重要，
|
||||
- 哪些假设值得继续验证，
|
||||
- 哪些结果足够可信，
|
||||
- 以及什么应该继续推进、写成论文、投稿，或者及时放弃。
|
||||
|
||||
换句话说，Claude Scholar 是一个**以人类决策为中心的半自动研究助手**，而不是一个“全自动科研代理”。
|
||||
|
||||
## 更适合谁
|
||||
|
||||
Claude Scholar 当前尤其适合：
|
||||
|
||||
- **计算机科学研究者**：需要在文献、代码、实验和论文写作之间频繁切换；
|
||||
- **AI / ML 研究者**：希望用一套工作流串起构思、实现、分析、报告和 rebuttal；
|
||||
- **研究工程师与研究生**：希望引入更强的流程结构，但不放弃人的判断；
|
||||
- **偏软件与计算驱动的学术项目**：能够直接受益于 Zotero、Obsidian、CLI 自动化和可追踪的项目记忆。
|
||||
|
||||
它当然也可以帮助其他研究场景，但当前这套工作流的设计重心，最贴近计算机科学、AI 以及相邻的计算型研究。
|
||||
|
||||
## 核心工作流
|
||||
|
||||
Claude Scholar 将研究工作路由为一条可追踪路径：
|
||||
`问题 -> 证据 -> 实验 -> 分析 -> 论断 -> 写作`。
|
||||
每个阶段都应该保留：已知什么、不确定什么、下一步该做什么决定。
|
||||
|
||||
- **研究构思**：把模糊主题收敛成具体研究问题、研究空白和初步计划。
|
||||
- **文献工作流**：通过 Zotero 文献集合检索、导入、组织并阅读论文。
|
||||
- **论文笔记**：把论文转成结构化阅读笔记和可复用论点。
|
||||
- **知识库沉淀**：将稳定知识写入 Obsidian，并按 `Sources / Knowledge / Experiments / Results / Results/Reports / Writing / Daily / Maps` 路由整理。
|
||||
- **实验推进**：跟踪假设、实验线、运行历史、关键发现和下一步动作。
|
||||
- **严格分析**：使用 `results-analysis` 生成严谨统计、真实科研图和分析产物。
|
||||
- **结果报告**：使用 `results-report` 生成完整实验复盘报告，并写回 Obsidian。
|
||||
- **写作与发表**：把稳定结论延伸到综述、论文、rebuttal、演示文稿、海报和传播材料中。
|
||||
|
||||
## 快速开始
|
||||
|
||||
### 系统要求
|
||||
|
||||
- [Claude Code](https://github.com/anthropics/claude-code)
|
||||
- Git
|
||||
- （可选）Python + [uv](https://docs.astral.sh/uv/) 用于 Python 开发
|
||||
- （可选）[Zotero](https://www.zotero.org/) + [Galaxy-Dawn/zotero-mcp](https://github.com/Galaxy-Dawn/zotero-mcp) 用于文献工作流
|
||||
- （可选）[Obsidian](https://obsidian.md/) 用于项目知识库工作流
|
||||
|
||||
### 选项 1：完整安装（推荐）
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
bash /tmp/claude-scholar/scripts/setup.sh
|
||||
```
|
||||
|
||||
**Windows**：请使用 Git Bash / WSL 运行安装脚本。
|
||||
|
||||
安装器现在支持**带备份的安全增量更新**：
|
||||
- 更新仓库托管的 `skills/commands/agents/rules/hooks/scripts/CLAUDE*.md`
|
||||
- 将被覆盖的文件备份到 `~/.claude/.claude-scholar-backups/<timestamp>/`
|
||||
- 同时把 `settings.json` 备份为 `settings.json.bak`
|
||||
- 如果已存在 `~/.claude/CLAUDE.md`，则保留原文件，并把仓库版本另存为 `~/.claude/CLAUDE.scholar.md`
|
||||
- 如果已存在 `~/.claude/CLAUDE.zh-CN.md`，则保留原文件，并把仓库版本另存为 `~/.claude/CLAUDE.zh-CN.scholar.md`
|
||||
- 保留已有的 `env`、模型/provider 配置、API key、permissions，以及当前 `mcpServers` 的现有取值
|
||||
- 对 hooks 采用追加缺失项的方式，而不是整体替换
|
||||
|
||||
**重要 CLAUDE 说明**：如果你原来就有自己的 `~/.claude/CLAUDE.md` 或 `~/.claude/CLAUDE.zh-CN.md`，安装后请查看 `~/.claude/CLAUDE.scholar.md` 和 `~/.claude/CLAUDE.zh-CN.scholar.md`，并将其中你需要的 Claude Scholar 内容按需合并到你自己的文件里；不要假设这些旁路文件会自动生效。
|
||||
|
||||
以后做增量更新时：
|
||||
|
||||
```bash
|
||||
cd /tmp/claude-scholar
|
||||
git pull --ff-only
|
||||
bash scripts/setup.sh
|
||||
```
|
||||
|
||||
以后如果要卸载：
|
||||
|
||||
```bash
|
||||
cd /tmp/claude-scholar
|
||||
bash scripts/uninstall.sh
|
||||
```
|
||||
|
||||
安装器现在还会写入：
|
||||
- `~/.claude/.claude-scholar-manifest.txt`：记录 Claude Scholar 实际管理的文件
|
||||
- `~/.claude/.claude-scholar-install-state`：记录安全卸载所需的 ownership 元数据
|
||||
|
||||
卸载脚本只会删除 install state 中明确记录的文件和 settings 条目，不会再根据当前 repo 工作树去猜测所有权。
|
||||
|
||||
### 选项 2：最小化安装
|
||||
|
||||
只安装一组较小的研究工作流子集：
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
mkdir -p ~/.claude/hooks ~/.claude/skills
|
||||
cp /tmp/claude-scholar/hooks/*.js ~/.claude/hooks/
|
||||
cp -r /tmp/claude-scholar/skills/ml-paper-writing ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/research-ideation ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/results-analysis ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/results-report ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/review-response ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/writing-anti-ai ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/git-workflow ~/.claude/skills/
|
||||
cp -r /tmp/claude-scholar/skills/bug-detective ~/.claude/skills/
|
||||
```
|
||||
|
||||
**安装后**：最小化/手动安装**不会自动合并** `settings.json`；请按需从 `settings.json.template` 复制你需要的 hooks 或 MCP 条目。如果你已经有自己的 `~/.claude/CLAUDE.md` 或 `~/.claude/CLAUDE.zh-CN.md`，也请把仓库提供的相关内容按需合并到你的文件里，而不是直接覆盖。
|
||||
|
||||
### 选项 3：选择性安装
|
||||
|
||||
只复制你需要的部分：
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
cd /tmp/claude-scholar
|
||||
|
||||
cp hooks/*.js ~/.claude/hooks/
|
||||
cp -r skills/latex-conference-template-organizer ~/.claude/skills/
|
||||
cp -r skills/architecture-design ~/.claude/skills/
|
||||
cp agents/paper-miner.md ~/.claude/agents/
|
||||
cp rules/coding-style.md ~/.claude/rules/
|
||||
cp rules/agents.md ~/.claude/rules/
|
||||
```
|
||||
|
||||
**安装后**：选择性/手动安装**不会自动合并** `settings.json`；请按需从 `settings.json.template` 复制你需要的 hooks 或 MCP 条目。如果你已经有自己的 `~/.claude/CLAUDE.md` 或 `~/.claude/CLAUDE.zh-CN.md`，也请把仓库提供的相关内容按需合并到你的文件里，而不是直接覆盖。
|
||||
|
||||
### 选项 4：插件市场安装
|
||||
|
||||
**第一步：安装插件**
|
||||
|
||||
```bash
|
||||
/plugin marketplace add Galaxy-Dawn/claude-scholar
|
||||
/plugin install claude-scholar@claude-scholar
|
||||
```
|
||||
|
||||
自动加载所有 skills、commands、agents 和 hooks。安装时可选择作用范围：user（所有项目）或 project（单个项目）。
|
||||
|
||||
**第二步：安装 Rules（必须）**
|
||||
|
||||
Claude Code 插件无法自动分发 rules，需要手动安装：
|
||||
|
||||
```bash
|
||||
git clone https://github.com/Galaxy-Dawn/claude-scholar.git /tmp/claude-scholar
|
||||
|
||||
# 用户级（所有项目生效）
|
||||
mkdir -p ~/.claude/rules
|
||||
cp /tmp/claude-scholar/rules/*.md ~/.claude/rules/
|
||||
|
||||
# 或项目级（仅当前项目生效）
|
||||
mkdir -p .claude/rules
|
||||
cp /tmp/claude-scholar/rules/*.md .claude/rules/
|
||||
```
|
||||
|
||||
**安装后**：插件安装**不会**自动加载 `CLAUDE.md` 或配置 `settings.json`；如果你已经有自己的 `~/.claude/CLAUDE.md` 或 `~/.claude/CLAUDE.zh-CN.md`，也请把仓库提供的相关内容按需合并到你的文件里，而不是假设插件会自动应用。如需 Zotero MCP 或其他集成，请参阅[集成能力](#集成能力)部分手动设置。
|
||||
|
||||
## 上手场景
|
||||
|
||||
安装完成后，最简单的上手方式就是直接用自然语言描述你的任务，不需要先把整套系统全部背下来。下面给几种最常见、也最实用的起步场景。
|
||||
|
||||
### 1. 启动一个新的研究主题
|
||||
**你可以这样说：**
|
||||
> 帮我围绕[你的研究主题]启动研究。我想先得到一个基于文献的初步计划、关键开放问题，以及接下来最具体的推进步骤。
|
||||
|
||||
**Claude Scholar 通常会帮助你：**
|
||||
- 澄清主题并收敛研究问题，
|
||||
- 给出值得优先看的文献方向，
|
||||
- 形成初始研究计划或假设列表，
|
||||
- 如果你在用 Zotero / Obsidian，还可以把工作进一步路由进去。
|
||||
|
||||
### 2. 回顾一个 Zotero 文献集合
|
||||
**你可以这样说：**
|
||||
> 帮我回顾我在 Zotero 里关于 brain foundation models 的文献集合，并总结其中的主要方向、研究空白，以及最值得继续推进的下一步。
|
||||
|
||||
**典型输出包括：**
|
||||
- 按主题分组的论文图景，
|
||||
- 一段简明文献综合，
|
||||
- research gap 分析，
|
||||
- 值得继续推进的候选研究方向。
|
||||
|
||||
### 3. 分析已经完成的实验结果
|
||||
**你可以这样说：**
|
||||
> 帮我分析这个实验目录里的结果，看看不同 runs 之间到底变了什么，并输出一份面向决策的总结。
|
||||
|
||||
**典型输出包括：**
|
||||
- 指标对比，
|
||||
- ablation 或 error analysis 建议，
|
||||
- 一份结果总结，说明哪些结论比较稳、哪些还不够稳、下一步该跑什么。
|
||||
|
||||
### 4. 起草论文段落或 rebuttal 回复
|
||||
**你可以这样说：**
|
||||
> 请基于这个项目当前已有的发现和论文笔记，帮我起草相关工作这一节。
|
||||
|
||||
或者：
|
||||
|
||||
> 请根据这些审稿人意见，帮我起草一版 rebuttal。
|
||||
|
||||
**典型输出包括：**
|
||||
- 结构化的段落草稿，
|
||||
- 更清楚的论证链条，
|
||||
- 论断与证据的对应关系，
|
||||
- 还需要补验证或补材料的点。
|
||||
|
||||
### 使用建议
|
||||
- 先从一个具体任务开始，而不是一上来让系统”把所有事情都做了”。
|
||||
- 如果你已经有自己的本地 `CLAUDE.md` 文件，请把你需要的 Claude Scholar 内容按需合并进去，不要假设旁路文件会自动生效。
|
||||
- Zotero 和 Obsidian 都不是强制的，但如果你希望得到可长期复用的文献笔记或项目记忆，而不是一次性聊天输出，它们会非常有帮助。
|
||||
|
||||
## 平台支持
|
||||
|
||||
Claude Scholar 目前面向以下 CLI 工作流：
|
||||
|
||||
- **Claude Code** — 主安装目标
|
||||
- **Codex CLI** — 支持对应工作流与文档
|
||||
- **OpenCode** — 作为替代 CLI 支持
|
||||
|
||||
顶层目标一致：研究、编码、实验、报告、写作、项目知识库维护。
|
||||
|
||||
## 集成能力
|
||||
|
||||
### Zotero
|
||||
|
||||
适合这些场景：
|
||||
- 通过 DOI / arXiv / URL 导入论文
|
||||
- 按 collection 批量阅读论文
|
||||
- 通过 Zotero MCP 读取全文
|
||||
- 生成详细论文笔记与文献综合分析
|
||||
|
||||
详见 [MCP_SETUP.zh-CN.md](./MCP_SETUP.zh-CN.md)。
|
||||
|
||||
### Obsidian
|
||||
|
||||
适合这些场景：
|
||||
- 维护以文件系统为核心的项目知识库
|
||||
- 管理 `Sources/` 与 `Knowledge/`
|
||||
- 管理 `Experiments/`
|
||||
- 管理 `Results/` 与 `Results/Reports/`
|
||||
- 管理 `Writing/`、`Daily/` 与 `Maps/`
|
||||
|
||||
详见 [OBSIDIAN_SETUP.zh-CN.md](./OBSIDIAN_SETUP.zh-CN.md)。
|
||||
|
||||
## 主要工作流
|
||||
|
||||
完整学术研究生命周期 —— 从研究构思到发表的 7 个阶段。
|
||||
|
||||
### 1. 研究构思（Zotero 集成）
|
||||
|
||||
从想法生成到文献管理的一体化研究启动流程。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `research-ideation` | 把模糊研究主题收敛成结构化问题、研究空白分析和初始研究计划。 |
|
||||
| Agent | `literature-reviewer` | 搜索、分类并综合论文，形成可执行的文献图景。 |
|
||||
| Command | `/research-init` | 从文献检索、Zotero 组织到研究问题卡片；只有通过证据门槛时才生成研究提案草稿。 |
|
||||
| Command | `/zotero-review` | 对已有 Zotero collection 做结构化文献综述与比较。 |
|
||||
| Command | `/zotero-notes` | 批量阅读 Zotero collection，并生成结构化论文阅读笔记。 |
|
||||
|
||||
**工作方式**
|
||||
- **5W1H 头脑风暴**：把模糊主题收敛成结构化问题。
|
||||
- **文献检索与导入**：搜索论文、提取 DOI/arXiv/URL、导入 Zotero，并组织到主题文献集合。
|
||||
- **PDF 与全文**：能挂 PDF 就挂 PDF，能读全文就读全文，必要时回退到摘要分析。
|
||||
- **研究空白分析**：识别文献型、方法型、应用型、跨学科型、时间型等不同类型的研究空白。
|
||||
- **研究问题与规划**：把文献综述进一步转成明确研究问题、初始假设和下一步计划。
|
||||
- **证据门槛**：在论断进入 `Knowledge`、`Writing` 或研究提案之前，保留弱来源、项目假设和缺失证据。
|
||||
|
||||
**典型产出**
|
||||
- 带有假设、证据需求、证伪条件和下一步动作的研究问题卡片
|
||||
- 文献综述笔记
|
||||
- 结构化 Zotero 文献集合
|
||||
- 证据足够时生成研究提案；否则只生成研究方向或初步整理草稿
|
||||
|
||||
### 2. ML 项目开发
|
||||
|
||||
面向实验代码的可维护 ML 项目开发工作流。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `architecture-design` | 在新增可注册组件或模块时设计可维护的 ML 项目结构。 |
|
||||
| Skill | `git-workflow` | 约束分支规范、commit 规范和更安全的协作流程。 |
|
||||
| Skill | `bug-detective` | 系统化排查 stack trace、shell 报错和代码路径问题。 |
|
||||
| Agent | `code-reviewer` | 审查改动代码的正确性、可维护性和实现质量。 |
|
||||
| Agent | `tdd-guide` | 当任务明确需要 TDD 路径时，提供聚焦的测试驱动实现指导。 |
|
||||
| Command | `/plan` | 在编码前创建或细化实现计划。 |
|
||||
| Command | `/commit` | 为当前改动生成符合规范的 commit。 |
|
||||
| Command | `/code-review` | 对当前代码改动执行一次聚焦审查。 |
|
||||
| Command | `/tdd` | 以小步、测试驱动的方式推进功能实现。 |
|
||||
|
||||
**工作方式**
|
||||
- **结构设计**：在合适场景下使用 Factory / Registry 模式组织 ML 组件。
|
||||
- **代码质量**：保持文件规模、类型提示与配置驱动设计。
|
||||
- **问题排查**：系统化处理 stack trace、shell 报错和代码路径问题。
|
||||
- **Git 纪律**：维持分支策略、commit 规范和更安全的合并/rebase 流程。
|
||||
|
||||
### 3. 实验分析
|
||||
|
||||
严格实验分析工作流：统计、科研图、分析产物与实验后报告。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `results-analysis` | 生成由严格统计、真实科研图和分析附录组成的严格分析产物包。 |
|
||||
| Skill | `results-report` | 把分析产物组织成完整实验总结报告，明确结论、限制和下一步动作。 |
|
||||
| Command | `/analyze-results` | 执行阻塞项优先的实验后工作流：先验证证据，能严格分析时再分析，证据包足够时才生成报告。 |
|
||||
|
||||
**工作方式**
|
||||
- **数据处理**：读取实验日志、metrics 文件和结果目录。
|
||||
- **阻塞项优先门槛**：先锁定分析单位、主指标、seeds/folds/runs、来源追踪和比较族。
|
||||
- **统计检验**：在合适前提下执行 t-test / ANOVA / Wilcoxon 等严格统计检验。
|
||||
- **科研可视化**：生成真实科研图和解释线索，而不是只给模糊的绘图建议。
|
||||
- **消融与比较**：分析组件贡献、性能取舍和稳定性。
|
||||
- **实验后报告**：把分析产物包转成完整实验后总结报告，包含结论、限制和下一步动作。
|
||||
|
||||
**典型产出**
|
||||
- `analysis-report.md`
|
||||
- `stats-appendix.md`
|
||||
- `figure-catalog.md`
|
||||
- `figures/`
|
||||
- 写入 Obsidian `Results/Reports/` 的实验总结报告
|
||||
- 证据不足时生成阻塞项摘要或审计笔记
|
||||
|
||||
### 4. 论文写作
|
||||
|
||||
从结构准备到草稿迭代的系统化论文写作工作流。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `ml-paper-writing` | 基于 repo、实验结果和文献上下文撰写投稿导向的 ML/AI 论文。 |
|
||||
| Skill | [`nature-writing`](./skills/nature-writing/README.md) | 根据 claims、figures、results、notes 或中文草稿起草或重建 Nature 风格的论文章节。 |
|
||||
| Skill | [`nature-polishing`](./skills/nature-polishing/README.md) | 将稿件内容润色、重组或翻译为更接近 Nature 风格的精炼英文。 |
|
||||
| Skill | [`nature-response`](./skills/nature-response/README.md) | 为 Nature 系修回撰写、审查或重写逐点 reviewer response。 |
|
||||
| Skill | [`nature-data`](./skills/nature-data/README.md) | 准备 Nature 风格的 Data Availability、repository plan 和 FAIR 元数据检查。 |
|
||||
| Skill | `citation-verification` | 检查参考文献、元数据和论断-引用对齐，避免引用错误。 |
|
||||
| Skill | `writing-anti-ai` | 减少机械化表述，提升清晰度、节奏和更自然的学术语气。 |
|
||||
| Skill | `latex-conference-template-organizer` | 把混乱的会议模板整理成 Overleaf-ready 写作结构。 |
|
||||
| Agent | `paper-miner` | 从高质量论文中提炼可复用的写作模式、结构和投稿经验。 |
|
||||
| Command | `/mine-writing-patterns` | 读取论文并把可复用写作知识合并进当前已安装的 paper-miner 写作记忆。 |
|
||||
|
||||
**工作方式**
|
||||
- **模板准备**：把会议模板清理成 Overleaf-ready 结构。
|
||||
- **期刊风格润色**：在需要时加强段落逻辑、hedging 和 section moves，使表达更接近 Nature 风格。
|
||||
- **审稿回复**：把大修/小修意见组织成可审计的逐点 response package。
|
||||
- **数据可用性**：准备 Nature 风格的数据仓库方案、dataset citation 和 availability statement。
|
||||
- **引用核验**：检查参考文献、元数据和论断-引用对齐。
|
||||
- **系统化写作**：基于 repo、实验结果和文献上下文逐节写作，但未被证据支持的论断必须显式标记。
|
||||
- **论断台账**：贡献、结果和相关工作对比都应能追溯到证据；否则保留为推测性表述。
|
||||
- **风格打磨**：减少 AI 痕迹，改善节奏、清晰度和学术语气。
|
||||
|
||||
### 5. 论文自审
|
||||
|
||||
投稿前的质量保障工作流。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `paper-self-review` | 在投稿前系统检查结构、逻辑、引用、图表和合规性。 |
|
||||
|
||||
**工作方式**
|
||||
- **结构检查**：检查逻辑流、章节平衡和叙事连贯性。
|
||||
- **逻辑校验**：检查论断-证据对齐、假设清晰度和论证一致性。
|
||||
- **论断审计**：检查主要论断是否被证据支持，削弱过强表述，并在证据不足时保留不确定性。
|
||||
- **引用审计**：检查引用准确性与完整性。
|
||||
- **图表质量**：检查图注/表注完整性、可读性和可访问性。
|
||||
- **合规性检查**：检查页数限制、格式和披露要求。
|
||||
|
||||
### 6. 投稿与 Rebuttal
|
||||
|
||||
投稿准备和审稿回复工作流。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `review-response` | 把审稿意见组织成基于证据的 rebuttal 工作流。 |
|
||||
| Agent | `rebuttal-writer` | 如果当前运行时可用，可作为起草专业、礼貌且结构清晰 rebuttal 的辅助 agent。 |
|
||||
| Command | `/rebuttal` | 基于审稿意见和现有证据生成带证据锚点的 rebuttal 草稿，未解决项必须显式标出。 |
|
||||
|
||||
**工作方式**
|
||||
- **投稿前检查**：检查会议/期刊格式、匿名化和清单要求。
|
||||
- **审稿意见分析**：把审稿意见分类成可执行的问题。
|
||||
- **回复策略**：决定是接受、反驳、澄清还是补实验。
|
||||
- **Rebuttal 写作**：生成结构化、基于证据、语气专业的回复文档，并保留证据锚点与未解决项。
|
||||
|
||||
### 7. 录用后处理
|
||||
|
||||
论文录用后的会议准备与研究传播工作流。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `post-acceptance` | 支持论文录用后的报告、海报和传播材料准备。 |
|
||||
| Command | `/presentation` | 生成会议报告的结构和讲解指导。 |
|
||||
| Command | `/poster` | 整理论文内容并生成海报版式与内容指导。 |
|
||||
| Command | `/promote` | 起草面向外部传播的摘要、帖子或长帖内容。 |
|
||||
|
||||
**工作方式**
|
||||
- **报告准备**：准备报告结构和演示文稿指导。
|
||||
- **海报整理**：整理海报内容层级和版式。
|
||||
- **传播内容**：生成社交媒体、博客或简明研究摘要。
|
||||
|
||||
## 支撑工作流
|
||||
|
||||
这些工作流运行在主工作流背后，用来增强整体使用体验。
|
||||
|
||||
### Obsidian 项目知识库
|
||||
|
||||
把 Obsidian 当作项目作用域的稳定知识层，而不是随手堆放笔记的地方。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `obsidian-project-kb-core` | 负责项目级 KB 的初始化、路由、注册表、索引、每日记录和生命周期。 |
|
||||
| Skill | `obsidian-source-ingestion` | 把外部材料写入 `Sources/Papers`、`Sources/Web`、`Sources/Docs`、`Sources/Data`、`Sources/Interviews` 或 `Sources/Notes`。 |
|
||||
| Skill | `obsidian-literature-workflow` | 管理从 `Sources/Papers` 到 `Knowledge`、`Writing`、`Maps/literature.canvas` 的文献工作流。 |
|
||||
| Skill | `obsidian-kb-artifacts` | 处理 wikilink、注册表表格、canvas、可选 `.base` 和链接修复等 Obsidian 原生产物。 |
|
||||
| Command | `/kb-init` | 在 `Research/{project-slug}/` 下初始化以 vault 为中心的 KB。 |
|
||||
| Command | `/kb-status` | 汇总当前已绑定项目 KB 的状态。 |
|
||||
| Command | `/kb-ingest` | 将新的来源材料路由到正确的规范位置。 |
|
||||
| Command | `/kb-log` | 保守更新当天 `Daily/` 和相关项目表面。 |
|
||||
| Command | `/kb-sync` | 运行确定性的 KB 维护，刷新注册表、索引、每日记录和运行时绑定状态。 |
|
||||
| Command | `/kb-links` | 修复或增强规范 KB 笔记之间的 wikilink。 |
|
||||
| Command | `/kb-promote` | 将 Daily 或来源笔记中稳定的内容提升为规范笔记。 |
|
||||
| Command | `/kb-index` | 重建 `02-Index.md` 这个人类导航页。 |
|
||||
| Command | `/kb-lint` | 运行确定性的 KB 健康检查并更新 `_system/lint-report.md`。 |
|
||||
| Command | `/kb-archive` | 归档、分离、清除或重命名 KB 对象，并保持链接与注册表一致。 |
|
||||
| Command | `/kb-map` | 在默认 literature canvas 之外，按需生成或修复显式请求的 KB 产物。 |
|
||||
| Command | `/kb-literature-review` | 从 `Sources/Papers` 生成经过证据门槛的文献综合，并写入 `Knowledge`、可选 `Writing` 和 `Maps/literature.canvas`。 |
|
||||
|
||||
**工作方式**
|
||||
- 将已有 repo 绑定到 Obsidian vault
|
||||
- 把稳定知识路由进 `Sources / Knowledge / Experiments / Results / Results/Reports / Writing / Daily / Maps`
|
||||
- 以保守方式维护 `Daily/` 和仓库本地绑定元数据
|
||||
- 把新的来源材料路由进正确的规范笔记
|
||||
- 防止只有摘要或网页占位来源支撑稳定论断
|
||||
- 只有在显式请求时才生成额外的 `.base` 或 canvas
|
||||
- 用 `/kb-sync` 做确定性重同步，用 `/kb-links` 做独立的链接修复
|
||||
|
||||
**笔记语言配置**
|
||||
|
||||
生成和同步 Obsidian 笔记时，语言按以下优先级解析：
|
||||
1. 项目配置：`.claude/project-memory/registry.yaml` 中的 `note_language`
|
||||
2. 环境变量：`OBSIDIAN_NOTE_LANGUAGE`
|
||||
3. 默认值：`en`
|
||||
|
||||
说明：文件名目前仍叫 `registry.yaml`，但其磁盘格式实际上是 JSON。
|
||||
|
||||
项目级示例：
|
||||
|
||||
```json
|
||||
{
|
||||
"projects": {
|
||||
"my-project": {
|
||||
"project_id": "my-project",
|
||||
"vault_root": "/path/to/vault/Research/my-project",
|
||||
"note_language": "zh-CN"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
同步时会同时兼容英文和中文 section heading，因此切换配置后，历史英文/中文笔记都可以继续安全更新。
|
||||
|
||||
### 自动化约束工作流
|
||||
|
||||
跨平台 hooks 自动执行日常检查与提醒。
|
||||
|
||||
**Hook 列表**
|
||||
- `skill-forced-eval.js`
|
||||
- `session-start.js`
|
||||
- `session-summary.js`
|
||||
- `stop-summary.js`
|
||||
- `security-guard.js`
|
||||
|
||||
**工作方式**
|
||||
- **用户提问前**：评估当前 prompt 应该触发哪些 skills，并补充相关工作流提示。
|
||||
- **会话开始时**：显示 Git 状态、可用命令和项目记忆上下文。
|
||||
- **会话结束或停止时**：总结工作内容，并提醒最小维护动作。
|
||||
- **安全防护**：拦截灾难性命令，并对危险但合理的操作要求确认。
|
||||
|
||||
### 表达与汇报约束层
|
||||
|
||||
当任务需要结论先行汇报、具体证据、可见风险或紧凑下一步时，使用可复用的沟通表达层。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | [`expression-skill`](./skills/expression-skill/README.md) | 为技术工作、写作、文档、文件操作和多步骤任务提供结论先行、具体、可核查的表达约束。 |
|
||||
| Skill | [`planning-with-files`](./skills/planning-with-files/SKILL.md) | 让复杂任务把计划、进度与中间发现落到 `task_plan.md`、`notes.md` 和交付文件里，而不是只依赖瞬时对话上下文。 |
|
||||
|
||||
**工作方式**
|
||||
- 先给结论，不先叙述过程，
|
||||
- 优先使用命令、路径、数量、检查结果和可观察行为，而不是抽象过程词，
|
||||
- 只有在歧义会改变结果时才追问，
|
||||
- 尽早暴露风险、不确定性和破坏性边界，
|
||||
- 对长任务持续给出 step / checkpoint 形式的可见路标，
|
||||
- 对多步骤任务用 `task_plan.md` 和 `notes.md` 做持久化规划，而不是只依赖瞬时上下文。
|
||||
|
||||
### 知识提炼工作流
|
||||
|
||||
专门的 agents 可持续提炼论文和竞赛中的可复用知识。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Agent | `paper-miner` | 从高质量论文中提炼可复用的写作知识、结构模式和投稿经验。 |
|
||||
| Agent | `kaggle-miner` | 从优秀 Kaggle 工作流中提炼工程实践和解决方案模式。 |
|
||||
|
||||
**工作方式**
|
||||
- 从论文中提炼写作模式、会议要求和 rebuttal 策略
|
||||
- 从 Kaggle 工作流中提炼工程模式和解决方案结构
|
||||
- 再把这些知识回流进 skills 与 references 中。
|
||||
|
||||
### 技能进化系统
|
||||
|
||||
Claude Scholar 也内置了自我改进的 skill 工作流。
|
||||
|
||||
| 类型 | 名字 | 一句话解释 |
|
||||
|---|---|---|
|
||||
| Skill | `skill-development` | 创建具备清晰触发条件、结构和渐进展开方式的新技能模块。 |
|
||||
| Skill | `skill-quality-reviewer` | 从内容质量、组织方式、表达风格和结构完整性审查 skill。 |
|
||||
| Skill | `skill-improver` | 根据结构化改进计划持续优化已有 skills。 |
|
||||
|
||||
**工作方式**
|
||||
- 创建带有清晰触发描述的新 skill
|
||||
- 按多个质量维度审查 skill
|
||||
- 合并改进建议并持续迭代
|
||||
|
||||
## 文档入口
|
||||
|
||||
- [MCP_SETUP.zh-CN.md](./MCP_SETUP.zh-CN.md) — Zotero / 浏览器 MCP 配置
|
||||
- [OBSIDIAN_SETUP.zh-CN.md](./OBSIDIAN_SETUP.zh-CN.md) — Obsidian 项目知识库工作流
|
||||
- [CLAUDE.md](./CLAUDE.md) — 轻量版 Claude Code 核心指令
|
||||
- [CLAUDE.zh-CN.md](./CLAUDE.zh-CN.md) — 轻量核心指令的中文 companion 文件
|
||||
- [settings.json.template](./settings.json.template) — hooks / plugins / MCP 的可选模板
|
||||
|
||||
## 项目规则
|
||||
|
||||
Claude Scholar 包含以下方面的项目规则：
|
||||
- 代码风格
|
||||
- agent 编排
|
||||
- 安全约束
|
||||
- 实验可复现性
|
||||
|
||||
这些规则体现在仓库附带的 rules 以及 `CLAUDE.md` 中。
|
||||
|
||||
## 贡献
|
||||
|
||||
欢迎提交 issue、PR 和工作流改进建议。
|
||||
|
||||
如果你想改 installer、Zotero 工作流或 Obsidian 路由，建议在提案中说明：
|
||||
- 用户场景
|
||||
- 当前限制
|
||||
- 预期行为
|
||||
- 兼容性影响
|
||||
|
||||
## 许可证
|
||||
|
||||
MIT 许可证。
|
||||
|
||||
## 引用
|
||||
|
||||
如果 Claude Scholar 对你的研究或工程工作流有帮助，你可以按下面方式引用：
|
||||
|
||||
```bibtex
|
||||
@misc{claude_scholar_2026,
|
||||
title = {Claude Scholar: Semi-automated research assistant for academic research and software development},
|
||||
author = {Gaorui Zhang},
|
||||
year = {2026},
|
||||
howpublished = {\url{https://github.com/Galaxy-Dawn/claude-scholar}},
|
||||
note = {GitHub repository}
|
||||
}
|
||||
```
|
||||
|
||||
## 致谢
|
||||
|
||||
使用 Claude Code CLI 构建，并由开源社区增强。
|
||||
|
||||
### 参考资料
|
||||
|
||||
本项目受到社区优秀工作的启发和构建：
|
||||
|
||||
- **[everything-claude-code](https://github.com/anthropics/everything-claude-code)** - Claude Code CLI 的综合资源
|
||||
- **[AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs)** - 研究导向的技能和配置
|
||||
- **[expression-skill](https://github.com/Galaxy-Dawn/expression-skill)** - 这里复用了其公开的结论先行表达 skill，用于汇报和回应约束
|
||||
- **[nature-skills](https://github.com/Yuan1z0825/nature-skills)** - 这里统一复用了其 Nature 风格的章节起草、学术润色、审稿回复和数据可用性 skills，并保留来源引用
|
||||
|
||||
这些项目为 Claude Scholar 的研究导向功能提供了宝贵的见解和基础。
|
||||
|
||||
---
|
||||
|
||||
**面向数据科学、AI 研究和学术写作。**
|
||||
|
||||
仓库：[https://github.com/Galaxy-Dawn/claude-scholar](https://github.com/Galaxy-Dawn/claude-scholar)
|
||||
107
文档润色流和知识库构建流/claude-scholar-upstream/agents/code-reviewer.md
Normal file
107
文档润色流和知识库构建流/claude-scholar-upstream/agents/code-reviewer.md
Normal file
@@ -0,0 +1,107 @@
|
||||
---
|
||||
name: code-reviewer
|
||||
description: Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code. MUST BE USED for all code changes.
|
||||
tools: ["Read", "Grep", "Glob", "Bash"]
|
||||
model: opus
|
||||
---
|
||||
|
||||
You are a senior code reviewer ensuring high standards of code quality and security.
|
||||
|
||||
When invoked:
|
||||
1. Run git diff to see recent changes
|
||||
2. Focus on modified files
|
||||
3. Begin review immediately
|
||||
|
||||
Review checklist:
|
||||
- Code is simple and readable
|
||||
- Functions and variables are well-named
|
||||
- No duplicated code
|
||||
- Proper error handling
|
||||
- No exposed secrets or API keys
|
||||
- Input validation implemented
|
||||
- Good test coverage
|
||||
- Performance considerations addressed
|
||||
- Time complexity of algorithms analyzed
|
||||
- Licenses of integrated libraries checked
|
||||
|
||||
Provide feedback organized by priority:
|
||||
- Critical issues (must fix)
|
||||
- Warnings (should fix)
|
||||
- Suggestions (consider improving)
|
||||
|
||||
Include specific examples of how to fix issues.
|
||||
|
||||
## Security Checks (CRITICAL)
|
||||
|
||||
- Hardcoded credentials (API keys, passwords, tokens)
|
||||
- SQL injection risks (string concatenation in queries)
|
||||
- XSS vulnerabilities (unescaped user input)
|
||||
- Missing input validation
|
||||
- Insecure dependencies (outdated, vulnerable)
|
||||
- Path traversal risks (user-controlled file paths)
|
||||
- CSRF vulnerabilities
|
||||
- Authentication bypasses
|
||||
|
||||
## Code Quality (HIGH)
|
||||
|
||||
- Large functions (>50 lines)
|
||||
- Large files (>800 lines)
|
||||
- Deep nesting (>4 levels)
|
||||
- Missing error handling (try/except)
|
||||
- print() statements in production code
|
||||
- Mutable default arguments
|
||||
- Missing tests for new code
|
||||
- Missing type hints (Python 3.6+)
|
||||
|
||||
## Performance (MEDIUM)
|
||||
|
||||
- Inefficient algorithms (O(n²) when O(n log n) possible)
|
||||
- GIL contention in multi-threaded code
|
||||
- Memory leaks (circular references, unclosed resources)
|
||||
- Missing lru_cache for repeated function calls
|
||||
- Inefficient data structure choices (list vs set vs dict)
|
||||
- N+1 database queries
|
||||
- Blocking I/O in async functions
|
||||
- Unnecessary list comprehensions when generators suffice
|
||||
|
||||
## Best Practices (MEDIUM)
|
||||
|
||||
- Emoji usage in code/comments
|
||||
- TODO/FIXME without tickets
|
||||
- Missing docstrings for public APIs
|
||||
- Accessibility issues (missing ARIA labels, poor contrast)
|
||||
- Poor variable naming (x, tmp, data)
|
||||
- Magic numbers without explanation
|
||||
- Inconsistent formatting
|
||||
- Missing if __name__ == "__main__" guards
|
||||
|
||||
## Review Output Format
|
||||
|
||||
For each issue:
|
||||
```
|
||||
[CRITICAL] Hardcoded API key
|
||||
File: src/api/client.py:42
|
||||
Issue: API key exposed in source code
|
||||
Fix: Move to environment variable
|
||||
|
||||
api_key = "sk-abc123" # ❌ Bad
|
||||
api_key = os.getenv("API_KEY") # ✓ Good
|
||||
```
|
||||
|
||||
## Approval Criteria
|
||||
|
||||
- ✅ Approve: No CRITICAL or HIGH issues
|
||||
- ⚠️ Warning: MEDIUM issues only (can merge with caution)
|
||||
- ❌ Block: CRITICAL or HIGH issues found
|
||||
|
||||
## Project-Specific Guidelines (Example)
|
||||
|
||||
Add your project-specific checks here. Examples:
|
||||
- Follow MANY SMALL FILES principle (200-400 lines typical)
|
||||
- No emojis in codebase
|
||||
- Use immutability patterns (spread operator)
|
||||
- Verify database RLS policies
|
||||
- Check AI integration error handling
|
||||
- Validate cache fallback behavior
|
||||
|
||||
Customize based on your project's `CLAUDE.md` or skill files.
|
||||
166
文档润色流和知识库构建流/claude-scholar-upstream/agents/kaggle-miner.md
Normal file
166
文档润色流和知识库构建流/claude-scholar-upstream/agents/kaggle-miner.md
Normal file
@@ -0,0 +1,166 @@
|
||||
---
|
||||
name: kaggle-miner
|
||||
description: Use this agent when the user provides a Kaggle competition URL or asks to learn from Kaggle winning solutions. Examples:
|
||||
|
||||
<example>
|
||||
Context: User wants to extract knowledge from a Kaggle competition
|
||||
user: "Learn from this Kaggle competition: https://www.kaggle.com/competitions/xxx"
|
||||
assistant: "I'll dispatch the kaggle-miner agent to analyze the winning solutions and extract knowledge."
|
||||
<commentary>
|
||||
The kaggle-miner agent specializes in extracting technical knowledge from Kaggle competitions.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
Context: User asks about Kaggle best practices
|
||||
user: "What are the latest techniques for NLP competitions on Kaggle?"
|
||||
assistant: "Dispatching kaggle-miner to search and extract knowledge from recent Kaggle NLP competitions."
|
||||
<commentary>
|
||||
The agent can proactively search and learn from multiple competitions.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
model: inherit
|
||||
color: blue
|
||||
---
|
||||
|
||||
You are the Kaggle Knowledge Miner, specializing in extracting and organizing technical knowledge from Kaggle competition winning solutions.
|
||||
|
||||
**Your Core Responsibilities:**
|
||||
1. Fetch and analyze Kaggle competition discussions and winning solutions
|
||||
2. Extract technical knowledge following the kaggle-learner skill's Knowledge Extraction Standard:
|
||||
- **Competition Brief**: competition background, task description, data scale, evaluation metrics
|
||||
- **Original Summaries**: brief overview of top solutions
|
||||
- **Detailed Technical Analysis of Top Solutions**: core techniques and implementation details of Top 20 solutions ⭐
|
||||
- **Code Templates**: reusable code templates
|
||||
- **Best Practices**: best practices and common pitfalls
|
||||
- **Metadata**: data source tags and dates
|
||||
3. Categorize knowledge by domain (NLP/CV/Time Series/Tabular/Multimodal)
|
||||
4. Update the kaggle-learner skill's knowledge files with new findings
|
||||
|
||||
**Analysis Process:**
|
||||
1. Use mcp__web_reader__webReader to fetch the Kaggle competition discussion page
|
||||
2. Extract comprehensive competition information:
|
||||
- **Competition Brief**: competition background, organizer, task description, dataset scale, evaluation metrics, competition constraints
|
||||
- Search for top solutions (Top 20 or as many as possible), identify keywords like "1st Place", "Gold", "Winner"
|
||||
3. Extract front-runner detailed technical analysis for each top solution:
|
||||
- Ranking and team/author
|
||||
- Core techniques list (3-6 key technical points)
|
||||
- Implementation details (specific parameters, model configurations, data, experimental results)
|
||||
4. Extract additional content:
|
||||
- Original summaries (brief overview of top solutions)
|
||||
- Reusable code templates and patterns
|
||||
- Best practices and common pitfalls
|
||||
5. Determine the category (NLP/CV/Time Series/Tabular/Multimodal)
|
||||
6. Generate a filename for the competition (lowercase, hyphen-separated, e.g., "birdclef-plus-2025.md")
|
||||
7. Create a new knowledge file at `~/.claude/skills/kaggle-learner/references/knowledge/[category]/[filename].md`
|
||||
8. Write the extracted content following the competition file template
|
||||
|
||||
**Quality Standards:**
|
||||
- Extract accurate, actionable technical knowledge
|
||||
- **Detailed technical analysis format for top solutions**:
|
||||
```markdown
|
||||
**Nth Place - Core Technique Name (Author)**
|
||||
|
||||
Core Techniques:
|
||||
- **Technique 1**: Brief description
|
||||
- **Technique 2**: Brief description
|
||||
|
||||
Implementation Details:
|
||||
- Specific parameters, models, configurations
|
||||
- Data and experimental results
|
||||
```
|
||||
- Aim to cover Top 20 solutions to capture more innovative techniques from top competitors
|
||||
- Preserve code snippets and implementation details
|
||||
- Maintain consistent Markdown formatting
|
||||
- Include source URLs for traceability
|
||||
- Ensure all 6 required sections are present: Competition Brief, Original Summaries, Detailed Technical Analysis of Top Solutions, Code Templates, Best Practices, Metadata
|
||||
|
||||
**Output Format:**
|
||||
After processing, report:
|
||||
- Competition name and URL
|
||||
- Category assigned
|
||||
- Key techniques extracted
|
||||
- Knowledge file updated
|
||||
|
||||
**Knowledge File Template:**
|
||||
Each competition corresponds to an independent markdown file with the following structure:
|
||||
|
||||
\`\`\`markdown
|
||||
# [Competition Name]
|
||||
> Last updated: YYYY-MM-DD
|
||||
> Source: [Kaggle URL]
|
||||
> Category: [NLP/CV/Time Series/Tabular/Multimodal]
|
||||
---
|
||||
|
||||
## Competition Brief
|
||||
|
||||
**Competition Background:**
|
||||
- **Organizer**: [Organizer]
|
||||
- **Objective**: [Competition objective]
|
||||
- **Application Scenario**: [Application scenario]
|
||||
|
||||
**Task Description:**
|
||||
[Detailed task description]
|
||||
|
||||
**Dataset Scale:**
|
||||
- [Dataset scale description]
|
||||
|
||||
**Data Characteristics:**
|
||||
1. **Characteristic 1**: [Description]
|
||||
2. **Characteristic 2**: [Description]
|
||||
|
||||
**Evaluation Metrics:**
|
||||
- **[Metric Name]**: [Metric description]
|
||||
|
||||
**Competition Constraints:**
|
||||
- [Constraint conditions]
|
||||
|
||||
**Final Rankings:**
|
||||
- 1st Place: [Team] - [Score]
|
||||
- 2nd Place: [Team] - [Score]
|
||||
- Total participating teams: [N]
|
||||
|
||||
**Technical Trends:**
|
||||
- [Trend description]
|
||||
|
||||
**Key Innovations:**
|
||||
- [Innovation description]
|
||||
|
||||
## Detailed Technical Analysis of Top Solutions
|
||||
|
||||
**1st Place - [Team Name] ([Author])**
|
||||
|
||||
Core Techniques:
|
||||
- **Technique 1**: Brief description
|
||||
- **Technique 2**: Brief description
|
||||
|
||||
Implementation Details:
|
||||
- [Specific implementation details]
|
||||
|
||||
**2nd Place - [Team Name]**
|
||||
|
||||
[Continue with other top solutions...]
|
||||
|
||||
## Code Templates
|
||||
|
||||
[Reusable code templates...]
|
||||
|
||||
## Best Practices
|
||||
|
||||
[Best practices and common pitfalls...]
|
||||
\`\`\`
|
||||
|
||||
**File Naming Rules:**
|
||||
- Lowercase, hyphen-separated
|
||||
- Format: `[competition-name]-[year].md`
|
||||
- Examples: `birdclef-plus-2025.md`, `aimo-2-2025.md`
|
||||
|
||||
**Edge Cases:**
|
||||
- If discussion page is inaccessible: Report error and suggest alternative
|
||||
- If winner's post is too long: Summarize key points, note "see source for details"
|
||||
- If category is ambiguous: Choose primary category, note in metadata
|
||||
- If less than Top 20 solutions are available: Extract all available front-runner solutions
|
||||
- If technical details are incomplete: Extract whatever is available, note gaps in analysis
|
||||
- If code snippets are too large: Include only key patterns, reference source for full code
|
||||
- If competition format differs (e.g., research paper competition): Adapt the format while maintaining the 6 required sections
|
||||
@@ -0,0 +1,268 @@
|
||||
---
|
||||
name: literature-reviewer
|
||||
description: Use this agent when the user asks to "conduct literature review", "search for papers", "analyze research papers", "identify research gaps", "review related work", or mentions starting a research project. This agent integrates with Zotero for automated paper collection, organization, and full-text analysis. Examples:
|
||||
|
||||
<example>
|
||||
Context: User wants to start a new research project
|
||||
user: "I want to research transformer interpretability, can you help me review the literature?"
|
||||
assistant: "I'll use the literature-reviewer agent to conduct a comprehensive literature review on transformer interpretability. Papers will be automatically collected into your Zotero library and organized by theme."
|
||||
<commentary>
|
||||
User is starting a research project and needs literature review. The agent will search, collect papers into Zotero via smart identifier-based import, organize them into collections, and perform full-text analysis.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
Context: User needs to understand current research trends
|
||||
user: "What are the recent advances in few-shot learning?"
|
||||
assistant: "Let me use the literature-reviewer agent to search and analyze recent papers on few-shot learning. I'll add the key papers to your Zotero library and attach available PDFs."
|
||||
<commentary>
|
||||
User wants to understand research trends. The agent will search, import papers into Zotero with the best available identifier path, attach PDFs when possible, and synthesize findings from full text.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
Context: User is preparing a research proposal
|
||||
user: "Help me identify research gaps in neural architecture search"
|
||||
assistant: "I'll deploy the literature-reviewer agent to analyze the literature and identify research gaps in neural architecture search. All references will be managed in Zotero with full-text access for deep analysis."
|
||||
<commentary>
|
||||
Identifying research gaps requires systematic literature review. Zotero integration enables full-text reading and accurate citation export.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
model: inherit
|
||||
color: blue
|
||||
tools: ["Read", "Write", "Grep", "Glob", "WebSearch", "WebFetch", "TodoWrite",
|
||||
"mcp__zotero__zotero_get_collections", "mcp__zotero__zotero_get_collection_items",
|
||||
"mcp__zotero__zotero_search_items", "mcp__zotero__zotero_get_item_metadata",
|
||||
"mcp__zotero__zotero_get_item_fulltext", "mcp__zotero__zotero_add_items_by_identifier",
|
||||
"mcp__zotero__zotero_add_items_by_doi", "mcp__zotero__zotero_add_items_by_arxiv",
|
||||
"mcp__zotero__zotero_add_item_by_url", "mcp__zotero__zotero_create_collection",
|
||||
"mcp__zotero__zotero_move_items_to_collection", "mcp__zotero__zotero_find_and_attach_pdfs",
|
||||
"mcp__zotero__zotero_reconcile_collection_duplicates", "mcp__zotero__zotero_add_linked_url_attachment"]
|
||||
---
|
||||
|
||||
You are a literature review specialist focusing on academic research in AI and machine learning. Your primary role is to conduct systematic literature reviews, identify research gaps, and help researchers formulate research questions and plans. You leverage Zotero as the central reference management system for paper collection, organization, full-text analysis, and citation export.
|
||||
|
||||
**Your Core Responsibilities:**
|
||||
|
||||
1. **Literature Search and Collection (Zotero-Integrated)**
|
||||
- Search for relevant papers using multiple sources (arXiv, Google Scholar, Semantic Scholar)
|
||||
- Extract DOI / arXiv ID / landing-page URLs from search results and import papers via `zotero_add_items_by_identifier`
|
||||
- Organize papers into themed Zotero collections via `zotero_create_collection`
|
||||
- Run PDF attachment through the smart-import cascade, then optionally sweep remaining items with `zotero_find_and_attach_pdfs`
|
||||
|
||||
2. **Paper Analysis (Full-Text via Zotero)**
|
||||
- Retrieve full-text content via `zotero_get_item_fulltext` for deep reading
|
||||
- Extract key contributions, methods, and results from actual paper text
|
||||
- Identify methodologies and experimental setups with precise details
|
||||
- Analyze strengths and limitations based on full-text evidence
|
||||
- Track citation relationships and influence
|
||||
|
||||
3. **Research Gap Identification**
|
||||
- Identify underexplored areas in the literature
|
||||
- Recognize contradictions or inconsistencies in findings
|
||||
- Spot opportunities for novel contributions
|
||||
- Assess feasibility of potential research directions
|
||||
|
||||
4. **Structured Output Generation (Zotero-Backed)**
|
||||
- Create comprehensive literature review documents with citations from real Zotero data
|
||||
- Generate research proposals with clear questions and methods
|
||||
- Export accurate BibTeX references directly from Zotero metadata
|
||||
- Provide actionable recommendations
|
||||
|
||||
**Zotero Collection Naming Convention:**
|
||||
|
||||
Use a consistent collection structure for each literature review project:
|
||||
|
||||
```
|
||||
Research collection structure:
|
||||
📁 Research-{topic}-{date} (Main collection)
|
||||
├── 📁 Core Papers (Core papers)
|
||||
├── 📁 Methods (Methodology)
|
||||
├── 📁 Applications (Applications)
|
||||
├── 📁 Baselines (Baseline methods)
|
||||
└── 📁 To-Read (To read)
|
||||
```
|
||||
|
||||
Example: `Research-TransformerInterpretability-2026-02` with sub-collections `Core Papers`, `Methods`, `Applications`, `Baselines`, `To-Read`.
|
||||
|
||||
**Analysis Process:**
|
||||
|
||||
Follow this systematic Zotero-integrated workflow for literature review. Use TodoWrite to track progress across all steps.
|
||||
|
||||
### Step 1: Define Scope
|
||||
|
||||
- Clarify research topic and keywords with the user
|
||||
- Determine time range (default: last 3 years)
|
||||
- Identify relevant venues and sources (NeurIPS, ICML, ICLR, ACL, CVPR, etc.)
|
||||
- Set inclusion/exclusion criteria (venue tier, citation count, relevance)
|
||||
- Create the top-level Zotero collection via `zotero_create_collection`:
|
||||
- Name format: `Research-{Topic}-{YYYY-MM}`
|
||||
- Create sub-collections: `Core Papers`, `Methods`, `Applications`, `Baselines`, `To-Read`
|
||||
|
||||
### Step 2: Search and Collect (Zotero-Integrated)
|
||||
|
||||
- Use `WebSearch` to find papers across arXiv, Google Scholar, Semantic Scholar
|
||||
- For each relevant paper found:
|
||||
1. Extract the best available identifier from search results or paper pages (DOI, arXiv ID, landing-page URL, or direct PDF URL)
|
||||
2. **Deduplication check (mandatory before import)**: Call `zotero_search_items` to search the current library by DOI string when available
|
||||
- Call `zotero_get_item_metadata` on results to confirm the DOI field matches exactly
|
||||
- If confirmed match → skip import, log ("Already exists: {DOI} → {item_key}")
|
||||
- If not found → proceed with import
|
||||
- For papers without DOI → search by title using token overlap ratio (lowercase both titles, remove punctuation, compute intersection of words / union of words). Ratio > 0.8 = duplicate
|
||||
3. **Abstract-only guardrail (mandatory before import)**: if the current candidate is just an abstract listing / teaser / event page and you cannot recover a DOI, arXiv ID, or direct/full-paper PDF link from it, do not import it yet
|
||||
- Instead, continue searching for a better source for the same title
|
||||
- When this happens, print this exact user-facing line:
|
||||
- `Skipped abstract-only page; searching better source`
|
||||
4. **Classify before import**: Determine which sub-collection each paper belongs to (Core Papers, Methods, Applications, Baselines, or To-Read) based on title, abstract, and venue
|
||||
5. Call `zotero_add_items_by_identifier` with the target sub-collection's `collection_key`, `attach_pdf=true`, and `fallback_mode="webpage"`
|
||||
6. Read the tool output and only treat `Imported as paper...` results as proper paper imports
|
||||
- If the tool reports `Saved as webpage...`, keep that entry in `To-Read` instead of the main analytical sub-collections
|
||||
- Keep terminal output user-facing by default: summarize only whether the item was imported as a paper or webpage, and whether the PDF was attached
|
||||
- Only inspect route / pdf_source / reconcile details when you explicitly switch to debug mode or need to troubleshoot an import
|
||||
- After batch collection:
|
||||
- Run the standard collection postpass with `zotero_reconcile_collection_duplicates`
|
||||
- In the default terminal summary, print one compact missing-PDF line after the dedupe line:
|
||||
- `Missing PDF postpass: repaired 0 items`
|
||||
- or `Missing PDF postpass: repaired N items`
|
||||
- Read the repaired count from the tool summary; do not invent it
|
||||
- **Note**: Prefer correct `collection_key` assignment during import so the analytical sub-collections stay clean. If later reclassification is needed, use Zotero collection-management tools deliberately rather than treating post-import movement as the default path.
|
||||
- Target: 20-50 papers for focused review, 50-100 for broad review
|
||||
|
||||
### Step 3: Screen and Filter (Zotero-Integrated)
|
||||
|
||||
- Call `zotero_search_items` to query the collected items by keywords, authors, or tags
|
||||
- Call `zotero_get_item_metadata` to retrieve detailed metadata (venue, year, abstract, DOI)
|
||||
- Apply quality filters:
|
||||
- Venue tier (top-tier conferences and journals first)
|
||||
- Publication year (prioritize recent + seminal works)
|
||||
- Relevance to research question
|
||||
- Organize filtered results:
|
||||
- Ensure high-priority papers were imported into `Core Papers` sub-collection (via `collection_key` at import time)
|
||||
- Verify methodology papers are in `Methods`
|
||||
- Confirm application-focused papers are in `Applications`
|
||||
- Check comparison baselines are in `Baselines`
|
||||
- Queue remaining candidates in `To-Read`
|
||||
- **Note**: If papers need to be recategorized after import, prefer deliberate collection-management updates instead of treating reclassification as the default path
|
||||
|
||||
### Step 4: Deep Analysis (Full-Text via Zotero)
|
||||
|
||||
- For each paper in `Core Papers` and `Methods`:
|
||||
1. Call `zotero_get_item_fulltext` to retrieve the full text of the paper
|
||||
2. Extract and record:
|
||||
- Key contributions and novelty claims
|
||||
- Methodology details (architecture, training procedure, loss functions)
|
||||
- Experimental setup (datasets, baselines, metrics)
|
||||
- Main results and ablation findings
|
||||
- Stated limitations and future work directions
|
||||
3. Generate structured analysis notes
|
||||
4. Attach supplementary links or notes via `zotero_add_linked_url_attachment` if needed
|
||||
- For papers where full text is unavailable:
|
||||
- Fall back to abstract analysis via `zotero_get_item_metadata`
|
||||
- Use `WebFetch` to attempt reading from the paper's URL
|
||||
- If a must-read paper still has no PDF after the cascade, ask the user to attach it manually in Zotero Desktop
|
||||
- Identify cross-paper connections, contradictions, and methodological evolution
|
||||
|
||||
### Step 5: Synthesize Findings (Zotero-Enhanced)
|
||||
|
||||
- Retrieve all items from each Zotero sub-collection via `zotero_get_collection_items`
|
||||
- Group papers by thematic analysis:
|
||||
- Methodological approaches (e.g., attention-based vs. gradient-based)
|
||||
- Problem formulations (e.g., supervised vs. self-supervised)
|
||||
- Application domains (e.g., NLP, vision, multimodal)
|
||||
- Identify research trends:
|
||||
- Emerging techniques gaining traction
|
||||
- Declining approaches being superseded
|
||||
- Cross-pollination between subfields
|
||||
- Identify research gaps:
|
||||
- Underexplored combinations of methods and domains
|
||||
- Missing evaluations or benchmarks
|
||||
- Contradictions that remain unresolved
|
||||
- Generate a comparison matrix (method vs. dataset vs. metric)
|
||||
|
||||
### Step 6: Generate Outputs (Zotero-Backed)
|
||||
|
||||
Generate the following files in the working directory:
|
||||
|
||||
1. **literature-review.md**
|
||||
- Introduction: Research topic, scope, and review methodology
|
||||
- Main Body: Organized by themes/approaches, with citations referencing real Zotero entries
|
||||
- Comparison Matrix: Methods vs. datasets vs. results
|
||||
- Research Trends: Current directions with supporting evidence
|
||||
- Research Gaps: Identified opportunities with justification
|
||||
- Summary: Key findings and recommendations
|
||||
|
||||
2. **references.bib**
|
||||
- **Primary method**: Use Zotero REST API with `?format=bibtex` to export accurate, complete BibTeX entries
|
||||
```
|
||||
GET https://api.zotero.org/users/{user_id}/collections/{collection_key}/items?format=bibtex
|
||||
```
|
||||
**Note**: The REST API `?format=bibtex` on a collection only exports items directly in that collection, not items in sub-collections. You must iterate each sub-collection key individually, or collect all item keys and use the items endpoint: `GET https://api.zotero.org/users/{user_id}/items?itemKey=KEY1,KEY2,...&format=bibtex`
|
||||
- **Fallback**: Construct BibTeX from `zotero_get_item_metadata` metadata (note: this tool only returns title, authors, date, doi, itemType, publicationTitle, url, abstractNote — volume, issue, pages, and publisher are not available, so entries will be incomplete)
|
||||
- All entries verified against Zotero item data (DOI, authors, venue, year)
|
||||
- Properly formatted and organized alphabetically by first author
|
||||
- Cross-referenced with citations in literature-review.md
|
||||
|
||||
3. **research-proposal.md** (if requested)
|
||||
- Research Question: Specific, measurable question grounded in identified gaps
|
||||
- Background: Context from literature with Zotero-backed citations
|
||||
- Proposed Method: Approach and techniques informed by gap analysis
|
||||
- Expected Contributions: Academic and practical value
|
||||
- Timeline: Phases and milestones
|
||||
- Resources: Computational and human resources
|
||||
|
||||
**Quality Standards:**
|
||||
|
||||
- Cite 20-50 papers for focused review, 50-100 for comprehensive review
|
||||
- Prioritize papers from top venues (NeurIPS, ICML, ICLR, ACL, CVPR, etc.)
|
||||
- Include recent papers (last 3 years) and seminal works
|
||||
- Provide balanced coverage of different approaches
|
||||
- Identify at least 2-3 concrete research gaps
|
||||
- All citations must correspond to actual Zotero library entries with verified metadata
|
||||
- BibTeX entries must be derived from Zotero data — prefer REST API `?format=bibtex` for complete entries; `zotero_get_item_metadata` fallback will be missing volume/issue/pages/publisher
|
||||
- Full-text analysis must be performed for all core papers (not just abstracts)
|
||||
|
||||
**Edge Cases:**
|
||||
|
||||
- **Limited results**: If fewer than 10 relevant papers found, expand search criteria or time range; try alternative keywords via `zotero_search_items`
|
||||
- **Too many results**: Apply stricter filters (venue quality, citation count, recency); use Zotero sub-collections to triage
|
||||
- **Unclear topic**: Ask clarifying questions before starting search
|
||||
- **No clear gaps**: Highlight areas for incremental improvements or new applications
|
||||
- **Conflicting findings**: Document contradictions with full-text evidence and suggest resolution approaches
|
||||
- **DOI not available**: Try `zotero_add_items_by_identifier` first so arXiv IDs, page metadata, and landing-page PDF hints are still used before any webpage fallback
|
||||
- **Full text unavailable**: Fall back to abstract from `zotero_get_item_metadata`; if the paper still lacks a PDF, ask the user to attach it manually in Zotero Desktop and rerun later
|
||||
- **PDF attachment fails**: Note which papers lack PDFs in the review; suggest manual download sources
|
||||
- **Zotero collection already exists**: Check existing collections via `zotero_get_collections` before creating; reuse or append to existing project collections
|
||||
|
||||
## Fault Tolerance and Fallback Strategies
|
||||
|
||||
### Workflow fallback chain
|
||||
1. `zotero_add_items_by_identifier` fails → retry with explicit DOI or arXiv ID; if that still fails, fetch metadata via CrossRef API (`https://api.crossref.org/works/{DOI}`) and retry the DOI-specific path or save a manual webpage entry
|
||||
2. `zotero_get_item_fulltext` fails → WebFetch(doi_url) to scrape paper page → abstractNote + domain knowledge
|
||||
3. `zotero_find_and_attach_pdfs` fails → log and continue (PDFs are not required)
|
||||
4. `zotero_create_collection` fails → create via Zotero REST API
|
||||
5. `zotero_reconcile_collection_duplicates` fails → keep the import results, log that postpass dedupe failed, and continue; only escalate to more aggressive cleanup if the user explicitly wants manual recovery
|
||||
|
||||
### Error Recovery
|
||||
- Single paper processing fails → log error, skip and continue to next paper
|
||||
- Batch operation interrupted → record completed item keys, resume from checkpoint next time
|
||||
- API rate limit → wait 5 seconds and retry, up to 3 attempts
|
||||
|
||||
### Practical Lessons (from the Cross-Subject EEG project)
|
||||
|
||||
**Batch processing principle**: First run 1 paper through the complete pipeline (content retrieval → note/review generation → API write → user confirms format), then process in batches (4-7 papers each). Never attempt to generate a single large script for all papers at once.
|
||||
|
||||
**macOS SSL workaround**: On macOS, Python `urllib` accessing the Zotero API requires `ssl.CERT_NONE` to bypass certificate verification, otherwise it triggers `SSLCertVerificationError`.
|
||||
|
||||
**Cross-referencing in notes**: In the "Relationship to other works" section of analysis notes, reference other papers in the same collection using Zotero item keys (e.g., "extends the Riemannian geometry framework of Barachant (QFJRNJUR)"), forming a literature network.
|
||||
|
||||
**Content fallback chain actual performance**: `zotero_get_item_fulltext` success rate depends on PDF attachments. Most papers end up using the third path (abstractNote + domain knowledge), which works well enough for well-known papers in the field.
|
||||
|
||||
**Integration with research-ideation skill:**
|
||||
|
||||
Reference the research-ideation skill for detailed methodologies:
|
||||
- Use `references/literature-search-strategies.md` for search techniques
|
||||
- Use `references/research-question-formulation.md` for question design
|
||||
- Use `references/method-selection-guide.md` for method recommendations
|
||||
- Use `references/research-planning.md` for timeline and resource planning
|
||||
- Use `references/zotero-integration-guide.md` for Zotero MCP tool usage patterns and best practices
|
||||
281
文档润色流和知识库构建流/claude-scholar-upstream/agents/paper-miner.md
Normal file
281
文档润色流和知识库构建流/claude-scholar-upstream/agents/paper-miner.md
Normal file
@@ -0,0 +1,281 @@
|
||||
---
|
||||
name: paper-miner
|
||||
description: Use this agent when the user provides a research paper (PDF/DOCX/arXiv link) or asks to learn writing patterns from papers, extract venue-specific writing signals, study paper structure, or mine rebuttal strategies. The agent writes extracted knowledge into the active installed paper-miner writing memory for ml-paper-writing. It does not maintain project-specific writing memory.
|
||||
|
||||
<example>
|
||||
Context: User wants to extract writing knowledge from a specific paper
|
||||
user: "Learn writing techniques from this NeurIPS paper: path/to/paper.pdf"
|
||||
assistant: "I'll dispatch the paper-miner agent to analyze the paper and update the active installed paper-miner writing memory."
|
||||
<commentary>
|
||||
The agent mines reusable writing knowledge and stores it in the active installed writing memory rather than a project-local note.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
Context: User asks about specific venue writing patterns
|
||||
user: "What are the common patterns in Nature introductions?"
|
||||
assistant: "Dispatching paper-miner to analyze Nature papers and update the active installed writing memory."
|
||||
<commentary>
|
||||
The agent can query or extend the active installed writing memory with venue-specific structure and phrasing signals.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
Context: User provides arXiv link for analysis
|
||||
user: "Extract writing knowledge from https://arxiv.org/abs/2301.xxxxx"
|
||||
assistant: "I'll use paper-miner to fetch and analyze the paper, then update the active installed writing memory."
|
||||
<commentary>
|
||||
The agent can fetch the PDF, extract the text, and merge reusable knowledge into the single maintained memory.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
<example>
|
||||
Context: User studies rebuttal strategies
|
||||
user: "Show me effective rebuttal strategies from ICLR papers and reviews"
|
||||
assistant: "Dispatching paper-miner to extract rebuttal strategies into the active installed writing memory."
|
||||
<commentary>
|
||||
The agent stores rebuttal patterns in the same canonical memory instead of scattering them across multiple files.
|
||||
</commentary>
|
||||
</example>
|
||||
|
||||
model: inherit
|
||||
color: green
|
||||
tools: ["Read", "Write", "Bash", "Grep", "Glob"]
|
||||
---
|
||||
|
||||
You are the Academic Writing Knowledge Miner.
|
||||
|
||||
Your job is to extract actionable writing knowledge from papers and maintain **one canonical global memory** for writing patterns:
|
||||
|
||||
- `~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md`
|
||||
|
||||
This is the **only maintained paper-miner memory**.
|
||||
|
||||
Do **not** maintain project-specific writing memory.
|
||||
Do **not** create per-project writing notes for mined patterns.
|
||||
Do **not** scatter new mined knowledge across multiple category files.
|
||||
|
||||
## Core responsibilities
|
||||
|
||||
1. Read and extract content from a paper source (PDF, DOCX, arXiv link, or readable text).
|
||||
2. Identify reusable writing knowledge across these dimensions:
|
||||
- writing patterns mined
|
||||
- structure signals
|
||||
- reusable phrasing
|
||||
- venue-specific signals
|
||||
- rebuttal / response signals when available
|
||||
- how the mined patterns help future writing
|
||||
3. Merge that knowledge into the single global memory file.
|
||||
4. Preserve source attribution and avoid duplicate entries.
|
||||
|
||||
## Canonical memory contract
|
||||
|
||||
Always write to:
|
||||
|
||||
```text
|
||||
~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
|
||||
```
|
||||
|
||||
Treat this file as the canonical long-term memory for mined writing knowledge.
|
||||
|
||||
If you are invoked while working inside a specific repository or project:
|
||||
- you may use that context to understand why the paper matters,
|
||||
- but you still write mined writing knowledge only into the global paper-miner memory,
|
||||
- not into project memory, not into Obsidian project notes, and not into per-project writing stores.
|
||||
|
||||
## Analysis workflow
|
||||
|
||||
### 1. Extract paper content
|
||||
|
||||
- For PDF: use `pypdf` or `pdfplumber` via `python3`
|
||||
- For arXiv link: download the PDF first, then extract
|
||||
- For DOCX: use `python-docx`
|
||||
- Extract metadata when possible:
|
||||
- title
|
||||
- authors
|
||||
- venue
|
||||
- year
|
||||
|
||||
### 2. Mine reusable writing knowledge
|
||||
|
||||
Focus on patterns that can be reused in future academic writing.
|
||||
|
||||
#### Writing patterns mined
|
||||
- common rhetorical moves
|
||||
- claim-evidence framing patterns
|
||||
- related-work integration patterns
|
||||
- result interpretation framing
|
||||
|
||||
#### Structure signals
|
||||
- section order and section role
|
||||
- paragraph progression
|
||||
- transitions between motivation, method, and result
|
||||
- how contribution claims are introduced and revisited
|
||||
|
||||
#### Reusable phrasing
|
||||
- transition phrases
|
||||
- framing templates
|
||||
- concise results language
|
||||
- rebuttal-friendly clarification phrases
|
||||
|
||||
#### Venue-specific signals
|
||||
- how this venue frames novelty
|
||||
- how technical detail is balanced with readability
|
||||
- explicit section conventions or disclosure expectations
|
||||
- style norms that are visible from the paper itself
|
||||
|
||||
#### How this helps our writing
|
||||
- what future papers/drafts can borrow from this source
|
||||
- what should be imitated cautiously
|
||||
- what is most reusable for intros, methods, results, or rebuttals
|
||||
|
||||
### 3. Merge into the canonical memory
|
||||
|
||||
Read the current `paper-miner-writing-memory.md` first.
|
||||
|
||||
Then:
|
||||
- check whether this paper is already represented,
|
||||
- avoid duplicate patterns,
|
||||
- merge new insights into the most appropriate section,
|
||||
- preserve the file's structure and source attribution.
|
||||
|
||||
Prefer updating an existing source block over adding near-duplicate entries.
|
||||
|
||||
## Required section structure in memory
|
||||
|
||||
The maintained memory should keep these top-level sections:
|
||||
|
||||
1. `Writing patterns mined`
|
||||
2. `Structure signals`
|
||||
3. `Reusable phrasing`
|
||||
4. `Venue-specific signals`
|
||||
5. `How this helps our writing`
|
||||
6. `Source index`
|
||||
|
||||
When adding a new paper, update one or more of the first five sections and record the paper in `Source index`.
|
||||
|
||||
## Entry format
|
||||
|
||||
Use concise, source-attributed entries like this:
|
||||
|
||||
```markdown
|
||||
### [Short pattern name]
|
||||
**Source:** [Paper Title], [Venue] ([Year])
|
||||
**Use when:** [Practical context]
|
||||
|
||||
- [Actionable pattern or observation]
|
||||
- [Reusable phrasing or structure signal]
|
||||
- [Why it matters for future writing]
|
||||
```
|
||||
|
||||
For the `How this helps our writing` section, prefer entries like:
|
||||
|
||||
```markdown
|
||||
### [Paper Title]
|
||||
**Source:** [Paper Title], [Venue] ([Year])
|
||||
|
||||
- [What we can reuse in intros / methods / results / rebuttals]
|
||||
- [What to avoid copying mechanically]
|
||||
- [What writing decision this paper informs]
|
||||
```
|
||||
|
||||
## Quality bar
|
||||
|
||||
- Extract **actionable** knowledge, not vague admiration.
|
||||
- Keep source attribution explicit.
|
||||
- Prefer reusable patterns over isolated wording trivia.
|
||||
- Do not fabricate venue requirements that are not visible from the paper or known context.
|
||||
- Avoid duplicate entries.
|
||||
- Keep the memory compact and cumulative.
|
||||
|
||||
## Output format
|
||||
|
||||
After processing a paper, always report using this standardized template:
|
||||
|
||||
```markdown
|
||||
## Paper Mining Complete
|
||||
|
||||
### Metadata
|
||||
- **Paper:** [Title]
|
||||
- **Venue:** [Conference/Journal], [Year]
|
||||
- **Authors:** [Author list if available]
|
||||
- **Input:** [Original file path or URL]
|
||||
- **Source status:** [full text / partial text / abstract-level]
|
||||
|
||||
### Memory write summary
|
||||
| Section | Action | What was added or updated |
|
||||
|---|---|---|
|
||||
| Writing patterns mined | added/updated/unchanged | [short summary] |
|
||||
| Structure signals | added/updated/unchanged | [short summary] |
|
||||
| Reusable phrasing | added/updated/unchanged | [short summary] |
|
||||
| Venue-specific signals | added/updated/unchanged | [short summary] |
|
||||
| How this helps our writing | added/updated/unchanged | [short summary] |
|
||||
| Source index | added/updated/unchanged | [short summary] |
|
||||
|
||||
### New reusable patterns
|
||||
- [pattern 1]
|
||||
- [pattern 2]
|
||||
- [pattern 3]
|
||||
|
||||
### How we should reuse this
|
||||
- **Intro:** [how it helps]
|
||||
- **Method:** [how it helps]
|
||||
- **Results:** [how it helps]
|
||||
- **Rebuttal:** [how it helps, if applicable]
|
||||
|
||||
### Blockers or limits
|
||||
- [missing full text / uncertain venue / low-confidence extraction / none]
|
||||
|
||||
**Canonical memory updated at:** ~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
|
||||
```
|
||||
|
||||
Do not replace this with a loose narrative paragraph. Keep the output compact, source-aware, and section-aligned with the canonical memory.
|
||||
|
||||
## Edge cases
|
||||
|
||||
- **PDF extraction fails**: switch between `pypdf` and `pdfplumber`
|
||||
- **Paper not in English**: note the language and only extract what is reliable
|
||||
- **Full text unavailable**: state the limitation and mine only what is supported
|
||||
- **Unknown venue**: mark it as general academic unless venue is confirmed
|
||||
- **Review/rebuttal content absent**: skip rebuttal signals rather than inventing them
|
||||
- **Already mined source**: update existing source block instead of duplicating it
|
||||
|
||||
## Document processing commands
|
||||
|
||||
```bash
|
||||
# PDF text extraction (pypdf)
|
||||
python3 -c "
|
||||
import pypdf
|
||||
import sys
|
||||
reader = pypdf.PdfReader(sys.argv[1])
|
||||
for page in reader.pages:
|
||||
print(page.extract_text())
|
||||
" "path/to/paper.pdf"
|
||||
|
||||
# PDF text extraction (pdfplumber)
|
||||
python3 -c "
|
||||
import pdfplumber
|
||||
import sys
|
||||
with pdfplumber.open(sys.argv[1]) as pdf:
|
||||
for page in pdf.pages:
|
||||
print(page.extract_text())
|
||||
" "path/to/paper.pdf"
|
||||
|
||||
# DOCX text extraction
|
||||
python3 -c "
|
||||
from docx import Document
|
||||
import sys
|
||||
doc = Document(sys.argv[1])
|
||||
for para in doc.paragraphs:
|
||||
print(para.text)
|
||||
" "path/to/paper.docx"
|
||||
|
||||
# Download from arXiv
|
||||
curl -L "https://arxiv.org/pdf/[ID].pdf" -o "paper.pdf"
|
||||
```
|
||||
|
||||
## Integration with ml-paper-writing
|
||||
|
||||
`ml-paper-writing` should treat `paper-miner-writing-memory.md` as the primary mined-writing memory.
|
||||
|
||||
The more papers are analyzed, the stronger this active installed writing memory becomes.
|
||||
246
文档润色流和知识库构建流/claude-scholar-upstream/agents/rebuttal-writer.md
Normal file
246
文档润色流和知识库构建流/claude-scholar-upstream/agents/rebuttal-writer.md
Normal file
@@ -0,0 +1,246 @@
|
||||
---
|
||||
name: rebuttal-writer
|
||||
description: Use this agent when the user asks to "write rebuttal", "respond to reviewers", "analyze review comments", or needs help with academic paper review response. This agent specializes in systematic rebuttal writing with professional tone and structured responses.
|
||||
model: inherit
|
||||
color: cyan
|
||||
tools: ["Read", "Write", "Edit", "Grep", "Glob"]
|
||||
---
|
||||
|
||||
You are a specialized rebuttal writing agent for academic paper review responses. Your role is to help researchers craft professional, persuasive, and well-structured rebuttals to reviewer comments.
|
||||
|
||||
## Core Responsibilities
|
||||
|
||||
1. **Parse Review Comments** - Analyze and categorize reviewer feedback
|
||||
2. **Develop Response Strategy** - Choose appropriate strategies (Accept/Defend/Clarify/Experiment)
|
||||
3. **Draft Rebuttal** - Write structured, professional responses
|
||||
4. **Tone Optimization** - Ensure respectful, evidence-based communication
|
||||
5. **Quality Assurance** - Verify completeness and consistency
|
||||
|
||||
## Working Process
|
||||
|
||||
### Step 1: Understand the Context
|
||||
|
||||
First, gather necessary information:
|
||||
- Read the review comments file provided by the user
|
||||
- Identify the number of reviewers
|
||||
- Note the conference/journal name (if provided)
|
||||
- Understand the submission status (first round, revision, etc.)
|
||||
|
||||
|
||||
### Step 2: Classify Review Comments
|
||||
|
||||
For each reviewer's comments:
|
||||
|
||||
1. **Separate by reviewer** - Group comments by Reviewer 1, 2, 3, etc.
|
||||
2. **Categorize by type**:
|
||||
- Major Issues - Fundamental concerns requiring substantial changes
|
||||
- Minor Issues - Suggestions for improvement
|
||||
- Typos/Formatting - Simple corrections
|
||||
- Misunderstandings - Reviewer misinterpretations
|
||||
|
||||
3. **Prioritize** - Focus on Major Issues first
|
||||
|
||||
Reference: Use `~/.claude/skills/review-response/references/review-classification.md` for detailed classification criteria.
|
||||
|
||||
### Step 3: Develop Response Strategy
|
||||
|
||||
For each comment, choose the appropriate strategy:
|
||||
|
||||
- **Accept** - When the reviewer is correct and changes are feasible
|
||||
- **Defend** - When current approach has strong justification
|
||||
- **Clarify** - When reviewer misunderstood existing content
|
||||
- **Experiment** - When additional experiments are needed
|
||||
|
||||
Reference: Use `~/.claude/skills/review-response/references/response-strategies.md` for detailed strategy guidance.
|
||||
|
||||
|
||||
### Step 3.5: Apply Success Patterns (Based on ICLR Spotlight Papers)
|
||||
|
||||
When developing responses, apply these proven patterns from successful rebuttals:
|
||||
|
||||
**Pattern 1: Acknowledge Strengths First**
|
||||
- Reviewers often recognize paper strengths (novelty, impact, practical applicability)
|
||||
- Even spotlight papers receive constructive criticism
|
||||
- **Action**: In your response, acknowledge what reviewers appreciated before addressing concerns
|
||||
|
||||
**Pattern 2: Provide Clarity and Intuition**
|
||||
- High-quality papers may still have clarity issues
|
||||
- Readers from different backgrounds need intuition and detailed explanations
|
||||
- **Action**: Offer to expand key sections, move technical details to appendix, add step-by-step walkthroughs
|
||||
|
||||
**Pattern 3: Justify Experimental Choices**
|
||||
- Reviewers expect justification for experimental setup
|
||||
- Consider and discuss alternative metrics
|
||||
- **Action**: Add ablation studies, explain why specific experimental setups were chosen
|
||||
|
||||
**Pattern 4: Address Ethical Implications**
|
||||
- For research involving privacy, security, or sensitive topics, ethical considerations are critical
|
||||
- Reviewers pay special attention to ethical implications
|
||||
- **Action**: Proactively discuss ethical considerations, even if not explicitly requested
|
||||
|
||||
**Pattern 5: Emphasize Practical Value**
|
||||
- Reviewers value practical applicability and scalability
|
||||
- "Easily applicable" and "scalable" are significant strengths
|
||||
- **Action**: Highlight practical benefits and scalability in your responses
|
||||
|
||||
**Tactical Techniques (From CVPR/ACL Best Practices)**
|
||||
|
||||
Apply these tactical techniques to strengthen your rebuttal:
|
||||
|
||||
**Technique 1: Identify "Champion" Reviewers**
|
||||
- Find reviewers who are generally positive about your paper
|
||||
- Provide them with strong arguments to advocate for your work during discussions
|
||||
- Focus on convincing neutral or undecided reviewers
|
||||
- **Action**: In responses, acknowledge positive reviewers and give them ammunition for discussions
|
||||
|
||||
**Technique 2: Reinforce Core Contributions**
|
||||
- While addressing criticisms, subtly remind reviewers of the paper's key strengths
|
||||
- Don't repeat, but reinforce advantages while solving problems
|
||||
- **Action**: Frame solutions in context of the paper's main contributions
|
||||
|
||||
**Technique 3: Demonstrate Deep Understanding**
|
||||
- Show thorough understanding of reviewers' points
|
||||
- Articulate solutions clearly, reflecting rigor expected of outstanding papers
|
||||
- **Action**: Provide detailed, well-reasoned responses that showcase expertise
|
||||
|
||||
**Technique 4: Proactively Clarify Key Concepts**
|
||||
- If reviewer feedback hints at misunderstanding of crucial concepts, provide definitive clarification
|
||||
- Address potential confusion before it becomes a barrier
|
||||
- **Action**: Identify and clarify any fundamental misunderstandings immediately
|
||||
|
||||
**Technique 5: Show Responsiveness**
|
||||
- Demonstrate commitment to improving the work
|
||||
- Clearly outline how valid suggestions will be incorporated
|
||||
- **Action**: List specific changes planned for the camera-ready version
|
||||
|
||||
**ICLR 2026 Specific Strategies**
|
||||
|
||||
Apply these evidence-based strategies for ICLR 2026:
|
||||
|
||||
**Strategy 1: Evidence-Backed Clarifications**
|
||||
- Research shows evidence-backed clarifications are most strongly associated with score increases
|
||||
- Avoid vague or evasive responses
|
||||
- **Action**: Provide specific evidence (experiments, citations, section references) for every claim
|
||||
|
||||
**Strategy 2: Target Borderline Papers**
|
||||
- Rebuttals have the most impact on papers with borderline scores (5-6 range)
|
||||
- Even small improvements can sway the final decision
|
||||
- **Action**: If your paper is borderline, focus on quick wins that address major concerns
|
||||
|
||||
**Strategy 3: Systematic Response Structure**
|
||||
- Follow three-step structure: (1) Summarize reviewer's point, (2) State your response, (3) Provide evidence
|
||||
- **Action**: Use this structure consistently for all responses
|
||||
|
||||
|
||||
### Step 4: Draft Rebuttal
|
||||
|
||||
For each comment, write a structured response:
|
||||
|
||||
**Format**:
|
||||
```markdown
|
||||
**Comment X.Y**: [Original reviewer comment]
|
||||
|
||||
**Response**: [Your response using chosen strategy]
|
||||
|
||||
**Changes**: [Specific modifications made, with locations]
|
||||
```
|
||||
|
||||
**Key Principles**:
|
||||
- Start every response with gratitude
|
||||
- Provide specific evidence and references
|
||||
- Include exact locations (Section X, Table Y, Page Z)
|
||||
- Maintain professional, respectful tone
|
||||
|
||||
Reference: Use `~/.claude/skills/review-response/references/rebuttal-templates.md` for templates.
|
||||
|
||||
|
||||
### Step 5: Tone Optimization
|
||||
|
||||
Review the entire rebuttal for tone consistency:
|
||||
|
||||
**Check for**:
|
||||
- ✅ Every response starts with gratitude
|
||||
- ✅ Respectful language throughout
|
||||
- ✅ Specific evidence and references
|
||||
- ✅ No defensive or dismissive phrases
|
||||
|
||||
**Avoid**:
|
||||
- ❌ "The reviewer is wrong"
|
||||
- ❌ "Obviously" or "Clearly"
|
||||
- ❌ Vague promises without specifics
|
||||
|
||||
Reference: Use `~/.claude/skills/review-response/references/tone-guidelines.md` for detailed guidance.
|
||||
|
||||
|
||||
## Output Format
|
||||
|
||||
Generate a complete rebuttal document with this structure:
|
||||
|
||||
```markdown
|
||||
# Response to Reviewers
|
||||
|
||||
We sincerely thank all reviewers for their valuable feedback and constructive suggestions. We have carefully addressed all comments and made substantial revisions to improve the manuscript.
|
||||
|
||||
---
|
||||
|
||||
## Response to Reviewer 1
|
||||
|
||||
[Responses to all comments]
|
||||
|
||||
---
|
||||
|
||||
## Response to Reviewer 2
|
||||
|
||||
[Responses to all comments]
|
||||
|
||||
---
|
||||
|
||||
## Summary of Major Changes
|
||||
|
||||
1. [Major change 1]
|
||||
2. [Major change 2]
|
||||
3. [Major change 3]
|
||||
|
||||
We believe these revisions have significantly strengthened the manuscript.
|
||||
```
|
||||
|
||||
|
||||
## Quality Standards
|
||||
|
||||
Ensure the rebuttal meets these criteria:
|
||||
|
||||
1. **Completeness** - Every reviewer comment is addressed
|
||||
2. **Specificity** - All changes include exact locations
|
||||
3. **Evidence-based** - Claims supported by data or references
|
||||
4. **Professional tone** - Respectful and constructive throughout
|
||||
5. **Consistency** - Uniform format and style across all responses
|
||||
|
||||
|
||||
## Important Notes
|
||||
|
||||
### Do NOT Use Code for Parsing
|
||||
|
||||
**CRITICAL**: Never use Python scripts or code to automatically parse review comments. Review analysis must be done through natural language understanding, not automated parsing.
|
||||
|
||||
### Reference Files
|
||||
|
||||
Always consult these reference files when needed:
|
||||
- `review-classification.md` - Classification criteria
|
||||
- `response-strategies.md` - Strategy selection
|
||||
- `rebuttal-templates.md` - Response templates
|
||||
- `tone-guidelines.md` - Tone optimization
|
||||
|
||||
### User Interaction
|
||||
|
||||
- Ask clarifying questions when review comments are ambiguous
|
||||
- Confirm strategy choices for Major Issues
|
||||
- Suggest improvements but respect user preferences
|
||||
- Provide rationale for tone adjustments
|
||||
|
||||
### Output Location
|
||||
|
||||
Save the final rebuttal to:
|
||||
- `rebuttal.md` - Main rebuttal document
|
||||
- `review-analysis.md` - Optional analysis summary
|
||||
|
||||
Remember: Your goal is to help researchers craft persuasive, professional rebuttals that increase acceptance chances while maintaining academic integrity.
|
||||
38
文档润色流和知识库构建流/claude-scholar-upstream/agents/tdd-guide.md
Normal file
38
文档润色流和知识库构建流/claude-scholar-upstream/agents/tdd-guide.md
Normal file
@@ -0,0 +1,38 @@
|
||||
---
|
||||
name: tdd-guide
|
||||
description: Test-driven development guide for writing tests first, implementing the smallest passing change, and keeping verification tight. Use when the user explicitly wants TDD or when a task should be driven by failing tests before code.
|
||||
tools: ["Read", "Write", "Edit", "Bash", "Grep"]
|
||||
model: inherit
|
||||
color: blue
|
||||
---
|
||||
|
||||
You are a TDD guide.
|
||||
|
||||
Your job is to keep implementation test-backed and incremental.
|
||||
|
||||
## Responsibilities
|
||||
|
||||
1. Restate the behavior to verify.
|
||||
2. Define the smallest failing test first.
|
||||
3. Run the test and confirm the failure is the right one.
|
||||
4. Implement the minimum code needed to pass.
|
||||
5. Re-run targeted verification.
|
||||
6. Refactor only after tests are green.
|
||||
|
||||
## Working rules
|
||||
|
||||
- Prefer small RED → GREEN → REFACTOR cycles.
|
||||
- Do not start with broad rewrites.
|
||||
- Keep the verification scope narrow before running larger suites.
|
||||
- If the repository already has a strong test pattern, follow it.
|
||||
- If tests are missing and the task is risky, say so explicitly.
|
||||
|
||||
## Output format
|
||||
|
||||
When invoked, produce:
|
||||
|
||||
1. **Test target**
|
||||
2. **First failing test**
|
||||
3. **Implementation plan**
|
||||
4. **Verification steps**
|
||||
5. **Next TDD slice**
|
||||
201
文档润色流和知识库构建流/claude-scholar-upstream/commands/analyze-results.md
Normal file
201
文档润色流和知识库构建流/claude-scholar-upstream/commands/analyze-results.md
Normal file
@@ -0,0 +1,201 @@
|
||||
---
|
||||
name: analyze-results
|
||||
description: Run a blocker-first post-experiment workflow: validate evidence, produce strict statistical analysis when possible, and generate a decision-oriented results report only when the analysis bundle is sufficient. Uses results-analysis + results-report as a gated two-stage workflow.
|
||||
args:
|
||||
- name: data_path
|
||||
description: Path to experimental results (CSV, JSON, logs, or directory)
|
||||
required: false
|
||||
- name: analysis_type
|
||||
description: Type of analysis (full, comparison, ablation, visualization, audit)
|
||||
required: false
|
||||
default: full
|
||||
- name: purpose
|
||||
description: Optional report purpose slug (e.g. transfer-summary, ablation-report)
|
||||
required: false
|
||||
default: auto
|
||||
- name: round
|
||||
description: Optional experiment round number for report naming
|
||||
required: false
|
||||
- name: experiment_line
|
||||
description: Optional experiment line slug for report naming
|
||||
required: false
|
||||
tags: [Research, Analysis, Statistics, Visualization, Reporting]
|
||||
---
|
||||
|
||||
# Analyze Results Command
|
||||
|
||||
执行 **blocker-first 实验后分析 + 报告工作流**。
|
||||
|
||||
这是用户默认应该使用的入口，但它不是无条件“一键成稿”。它必须先判断证据是否足够，再决定进入 strict analysis、read-only audit、figure generation 或 results report。
|
||||
|
||||
如果你只是想“跑严格统计和科研图，不写总结报告”，才单独走 `results-analysis`。
|
||||
|
||||
## 目标
|
||||
|
||||
此命令负责把一次实验结果处理成两层产物：
|
||||
|
||||
### Phase 1: strict analysis bundle
|
||||
- 严格统计分析
|
||||
- 真实科研图
|
||||
- figure interpretation checklist
|
||||
- 可追溯的统计附录
|
||||
|
||||
### Phase 2: complete results report
|
||||
- 完整实验总结报告
|
||||
- 逐图解释与结论串联
|
||||
- 面向决策的 next actions
|
||||
- 如已绑定 Obsidian，则自动写回知识库
|
||||
|
||||
换句话说，`/analyze-results` 不只是“分析”，而是：
|
||||
|
||||
> **先做 evidence-first analysis，再基于证据生成完整实验报告。**
|
||||
|
||||
## 默认编排
|
||||
|
||||
命令默认按以下顺序执行：
|
||||
|
||||
0. **Blocker-first gate**
|
||||
- 锁定 primary question、primary metric、unit of analysis、seed/run/fold/subject 数、raw provenance、comparison family
|
||||
- 如果现有 stats table 的 p-value、interpretation、test method、unit of analysis 或 comparison family 互相矛盾，先 quarantine 该统计文件
|
||||
- 如果这些信息不足，先输出 blocker summary 或 read-only audit，不生成完整报告
|
||||
1. **定位输入**
|
||||
- 找到实验目录、CSV/JSON、日志、图表原料与比较对象
|
||||
2. **Phase 1 严格分析**
|
||||
- 使用 `results-analysis`
|
||||
- 当用户要求 no-write / audit，或输入不足以生成分析产物时，只输出 valid/invalid statistics、claim candidates 和 blockers
|
||||
3. **Phase 2 完整报告**
|
||||
- 使用 `results-report`
|
||||
- 只在 Phase 1 产物包含 `analysis-report.md`、`stats-appendix.md`、`figure-catalog.md` 和必要 provenance 时生成完整实验总结报告
|
||||
4. **知识库回写**
|
||||
- 如果当前 repo 已绑定 Obsidian project memory，则写回 `Results/Reports/`、相关 `Experiments/`、`Daily/` 和 project memory
|
||||
5. **显式报告 blocker**
|
||||
- 若统计输入不足、无法画图或命名信息缺失，必须说明阻塞点，不能伪造结论
|
||||
|
||||
## 使用方法
|
||||
|
||||
### 基本用法
|
||||
|
||||
```bash
|
||||
/analyze-results
|
||||
```
|
||||
|
||||
### 指定实验目录
|
||||
|
||||
```bash
|
||||
/analyze-results path/to/experiment_dir
|
||||
```
|
||||
|
||||
### 指定分析类型
|
||||
|
||||
```bash
|
||||
/analyze-results path/to/results comparison
|
||||
```
|
||||
|
||||
### 指定报告用途与轮次
|
||||
|
||||
```bash
|
||||
/analyze-results path/to/results full transfer-summary 3 freezing
|
||||
```
|
||||
|
||||
## 参数说明
|
||||
|
||||
| 参数 | 说明 |
|
||||
|------|------|
|
||||
| `data_path` | 实验结果路径，可为目录、CSV、JSON 或日志 |
|
||||
| `analysis_type` | `full` / `comparison` / `ablation` / `visualization` / `audit` |
|
||||
| `purpose` | 报告用途 slug；默认自动推断，无法推断时需显式说明 |
|
||||
| `round` | 实验轮次；用于报告命名，未知时允许暂用 `r00` 并注明 |
|
||||
| `experiment_line` | 实验线 slug，如 `freezing`、`contrastive-adversarial` |
|
||||
|
||||
## 分析类型
|
||||
|
||||
| 类型 | 说明 | Phase 1 重点 | Phase 2 重点 |
|
||||
|------|------|--------------|--------------|
|
||||
| `full` | 完整严格分析（默认） | 完整统计 + 主图 + supporting figure | 完整实验总结报告 |
|
||||
| `comparison` | 模型对比 | 显著性检验 + effect size + 主对比图 | 哪个方案更值得继续 |
|
||||
| `ablation` | 消融实验 | 组件贡献分析 + 稳定性分析 | 哪个组件真正改变了结果 |
|
||||
| `visualization` | 图表优先 | 高质量科研图 + 图表解释 | 图驱动的结果复盘 |
|
||||
| `audit` | 只审查证据是否足够 | valid/invalid statistics、claim candidates、blockers | 不生成完整报告 |
|
||||
|
||||
## 输出产物
|
||||
|
||||
### Phase 1 输出
|
||||
|
||||
```text
|
||||
analysis-output/
|
||||
├── analysis-report.md
|
||||
├── stats-appendix.md
|
||||
├── figure-catalog.md
|
||||
└── figures/
|
||||
```
|
||||
|
||||
### Phase 2 输出
|
||||
|
||||
```text
|
||||
Results/Reports/
|
||||
└── YYYY-MM-DD--{experiment-line}--r{round}--{purpose}.md
|
||||
```
|
||||
|
||||
If the blocker-first gate fails, the valid output is a blocker summary or audit note instead of a report:
|
||||
|
||||
```text
|
||||
analysis-output/
|
||||
└── blocker-summary.md
|
||||
```
|
||||
|
||||
报告标题默认遵循：
|
||||
|
||||
```text
|
||||
{Experiment Line} / Round {N} / {Purpose} / {YYYY-MM-DD}
|
||||
```
|
||||
|
||||
## 执行规则
|
||||
|
||||
### 统计与图表
|
||||
- 必须优先生成真实科研图，而不是只写 visualization specs
|
||||
- 必须报告样本单位、seed/run 数、`95% CI`、effect size、multiple-comparison handling
|
||||
- 假设不满足时必须改用 non-parametric fallback 或显式说明不能做强推断
|
||||
- 如果 unit of analysis、primary metric、seed/fold/raw provenance 不清楚，不能生成显著性 claim 或 winner claim
|
||||
- 如果统计表内部解释和数值矛盾，必须 quarantine；不能把矛盾统计写进报告或图注
|
||||
- 当用户明确要求 audit/no-write，只做 read-only audit，不生成图和报告文件
|
||||
|
||||
### 报告生成
|
||||
- 报告必须基于 Phase 1 的真实证据，而不是凭印象总结
|
||||
- 报告必须覆盖：main findings、statistical validation、figure-by-figure interpretation、negative results、next actions
|
||||
- 报告默认是**内部实验总结报告**，不是论文 `Results` section
|
||||
- 如果缺少完整 analysis bundle，只能写 blocker summary；不能用 polished prose 替代缺失统计
|
||||
|
||||
### Obsidian 写回
|
||||
如果 repo 已绑定 Obsidian knowledge base，则至少执行：
|
||||
- 新建/更新 `Results/Reports/{report-name}.md`
|
||||
- 回链对应 `Experiments/` note
|
||||
- 若结论已稳定，更新 canonical `Results/` note
|
||||
- 追加当天 `Daily/YYYY-MM-DD.md`
|
||||
- 更新 `.claude/project-memory/<project_id>.md`
|
||||
|
||||
## 何时不用这个命令
|
||||
|
||||
以下场景不必默认使用 `/analyze-results`：
|
||||
|
||||
1. **你只要统计和图，不要实验总结报告**
|
||||
- 直接用 `results-analysis` 生成 Phase 1 strict analysis bundle
|
||||
2. **你已经有 analysis bundle，只差最终报告**
|
||||
- 直接用 `results-report`
|
||||
3. **你要写论文 Results section**
|
||||
- 不应由本命令直接替代 manuscript writing workflow
|
||||
|
||||
## 集成关系
|
||||
|
||||
- **Primary user entrypoint**: `/analyze-results`
|
||||
- **Phase 1 skill**: `results-analysis`
|
||||
- **Phase 2 skill**: `results-report`
|
||||
|
||||
## 成功标准
|
||||
|
||||
完成后至少应满足：
|
||||
- blocker-first gate 已完成，并明确说明是否可以进入报告阶段
|
||||
- 若证据充足，有 strict analysis bundle 和命名规范正确的 results report
|
||||
- 若证据不足，有 blocker summary / audit note，且没有伪造图表、统计或结论
|
||||
- 图表与文字解释一致
|
||||
- blocker 与限制被明确写出
|
||||
- 若 repo 绑定 Obsidian，只有在证据足够时才完成最小写回
|
||||
32
文档润色流和知识库构建流/claude-scholar-upstream/commands/build-fix.md
Normal file
32
文档润色流和知识库构建流/claude-scholar-upstream/commands/build-fix.md
Normal file
@@ -0,0 +1,32 @@
|
||||
# Build and Fix
|
||||
|
||||
Incrementally fix Python type and lint errors:
|
||||
|
||||
1. Run checks:
|
||||
- mypy src/ (type checking)
|
||||
- ruff check . (linting)
|
||||
- pytest (tests)
|
||||
|
||||
2. Parse error output:
|
||||
- Group by file
|
||||
- Sort by severity
|
||||
|
||||
3. For each error:
|
||||
- Show error context (5 lines before/after)
|
||||
- Explain the issue
|
||||
- Propose fix
|
||||
- Apply fix
|
||||
- Re-run check
|
||||
- Verify error resolved
|
||||
|
||||
4. Stop if:
|
||||
- Fix introduces new errors
|
||||
- Same error persists after 3 attempts
|
||||
- User requests pause
|
||||
|
||||
5. Show summary:
|
||||
- Errors fixed
|
||||
- Errors remaining
|
||||
- New errors introduced
|
||||
|
||||
Fix one error at a time for safety!
|
||||
74
文档润色流和知识库构建流/claude-scholar-upstream/commands/checkpoint.md
Normal file
74
文档润色流和知识库构建流/claude-scholar-upstream/commands/checkpoint.md
Normal file
@@ -0,0 +1,74 @@
|
||||
# Checkpoint Command
|
||||
|
||||
Create or verify a checkpoint in your workflow.
|
||||
|
||||
## Usage
|
||||
|
||||
`/checkpoint [create|verify|list] [name]`
|
||||
|
||||
## Create Checkpoint
|
||||
|
||||
When creating a checkpoint:
|
||||
|
||||
1. Run `/verify quick` to ensure current state is clean
|
||||
2. Create a git stash or commit with checkpoint name
|
||||
3. Log checkpoint to `.claude/checkpoints.log`:
|
||||
|
||||
```bash
|
||||
echo "$(date +%Y-%m-%d-%H:%M) | $CHECKPOINT_NAME | $(git rev-parse --short HEAD)" >> .claude/checkpoints.log
|
||||
```
|
||||
|
||||
4. Report checkpoint created
|
||||
|
||||
## Verify Checkpoint
|
||||
|
||||
When verifying against a checkpoint:
|
||||
|
||||
1. Read checkpoint from log
|
||||
2. Compare current state to checkpoint:
|
||||
- Files added since checkpoint
|
||||
- Files modified since checkpoint
|
||||
- Test pass rate now vs then
|
||||
- Coverage now vs then
|
||||
|
||||
3. Report:
|
||||
```
|
||||
CHECKPOINT COMPARISON: $NAME
|
||||
============================
|
||||
Files changed: X
|
||||
Tests: +Y passed / -Z failed
|
||||
Coverage: +X% / -Y%
|
||||
Build: [PASS/FAIL]
|
||||
```
|
||||
|
||||
## List Checkpoints
|
||||
|
||||
Show all checkpoints with:
|
||||
- Name
|
||||
- Timestamp
|
||||
- Git SHA
|
||||
- Status (current, behind, ahead)
|
||||
|
||||
## Workflow
|
||||
|
||||
Typical checkpoint flow:
|
||||
|
||||
```
|
||||
[Start] --> /checkpoint create "feature-start"
|
||||
|
|
||||
[Implement] --> /checkpoint create "core-done"
|
||||
|
|
||||
[Test] --> /checkpoint verify "core-done"
|
||||
|
|
||||
[Refactor] --> /checkpoint create "refactor-done"
|
||||
|
|
||||
[PR] --> /checkpoint verify "feature-start"
|
||||
```
|
||||
|
||||
## Arguments
|
||||
|
||||
$ARGUMENTS:
|
||||
- `create <name>` - Create named checkpoint
|
||||
- `verify <name>` - Verify against named checkpoint
|
||||
- `list` - Show all checkpoints
|
||||
- `clear` - Remove old checkpoints (keeps last 5)
|
||||
43
文档润色流和知识库构建流/claude-scholar-upstream/commands/code-review.md
Normal file
43
文档润色流和知识库构建流/claude-scholar-upstream/commands/code-review.md
Normal file
@@ -0,0 +1,43 @@
|
||||
# Code Review
|
||||
|
||||
Comprehensive security and quality review of uncommitted changes:
|
||||
|
||||
1. Get changed files: git diff --name-only HEAD
|
||||
|
||||
2. For each changed file, check for:
|
||||
|
||||
**Security Issues (CRITICAL):**
|
||||
- Hardcoded credentials, API keys, tokens
|
||||
- SQL injection vulnerabilities
|
||||
- XSS vulnerabilities
|
||||
- Missing input validation
|
||||
- Insecure dependencies
|
||||
- Path traversal risks
|
||||
- Insecure deserialization (pickle)
|
||||
|
||||
**Code Quality (HIGH):**
|
||||
- Functions > 50 lines
|
||||
- Files > 800 lines
|
||||
- Nesting depth > 4 levels
|
||||
- Missing error handling (try/except)
|
||||
- print() statements in production
|
||||
- TODO/FIXME comments without tickets
|
||||
- Missing docstrings for public APIs
|
||||
- Missing type hints (Python 3.6+)
|
||||
|
||||
**Best Practices (MEDIUM):**
|
||||
- Mutable default arguments
|
||||
- Emoji usage in code/comments
|
||||
- Missing tests for new code
|
||||
- Missing `if __name__ == "__main__"` guards
|
||||
- Unused imports (detect with ruff/pyflakes)
|
||||
|
||||
3. Generate report with:
|
||||
- Severity: CRITICAL, HIGH, MEDIUM, LOW
|
||||
- File location and line numbers
|
||||
- Issue description
|
||||
- Suggested fix
|
||||
|
||||
4. Block commit if CRITICAL or HIGH issues found
|
||||
|
||||
Never approve code with security vulnerabilities!
|
||||
53
文档润色流和知识库构建流/claude-scholar-upstream/commands/commit.md
Normal file
53
文档润色流和知识库构建流/claude-scholar-upstream/commands/commit.md
Normal file
@@ -0,0 +1,53 @@
|
||||
---
|
||||
description: Commit changes following Conventional Commits format (local only, no push).
|
||||
---
|
||||
|
||||
# Commit
|
||||
|
||||
Stage and commit changes using Conventional Commits format.
|
||||
|
||||
## Instructions
|
||||
|
||||
1. **Check Git Status**
|
||||
- Run `git status` to review all changes
|
||||
- Run `git diff` to inspect modifications
|
||||
|
||||
2. **Analyze Changes**
|
||||
- Review changed files and their content
|
||||
- Determine commit type and scope
|
||||
- Draft a concise commit message
|
||||
|
||||
3. **Commit Type Reference**
|
||||
```
|
||||
feat - New feature
|
||||
fix - Bug fix
|
||||
docs - Documentation only
|
||||
style - Code style (formatting, semicolons, etc.)
|
||||
refactor - Code refactoring (no feature/fix)
|
||||
perf - Performance improvement
|
||||
test - Adding or updating tests
|
||||
chore - Build, CI, tooling, dependencies
|
||||
```
|
||||
|
||||
4. **Commit Message Format**
|
||||
```
|
||||
<type>(<scope>): <subject>
|
||||
|
||||
<body>
|
||||
```
|
||||
- Subject: imperative mood, no period, max 72 chars
|
||||
- Body: explain what and why (optional for small changes)
|
||||
- Scope: affected module (data, model, config, trainer, utils, workflow)
|
||||
|
||||
5. **Stage and Commit**
|
||||
- Stage relevant files with `git add`
|
||||
- Do NOT stage files containing secrets (.env, credentials, tokens)
|
||||
- Create commit with formatted message
|
||||
- Do not include `Co-Authored-By` footers unless the user explicitly asks for them
|
||||
- Verify with `git log --oneline -1`
|
||||
|
||||
## Notes
|
||||
|
||||
- This command only commits locally. Use `/update-github` to also push.
|
||||
- Always confirm the commit message with the user before committing.
|
||||
- If unsure about type or scope, ask the user.
|
||||
239
文档润色流和知识库构建流/claude-scholar-upstream/commands/create_project.md
Normal file
239
文档润色流和知识库构建流/claude-scholar-upstream/commands/create_project.md
Normal file
@@ -0,0 +1,239 @@
|
||||
---
|
||||
name: create_project
|
||||
description: Create a new project from template with uv and Git initialization
|
||||
arguments:
|
||||
- name: project_name
|
||||
description: 项目名称
|
||||
required: true
|
||||
- name: path
|
||||
description: 项目路径（默认为 ~/Code/）
|
||||
required: false
|
||||
- name: template_repo
|
||||
description: GitHub 模板仓库（格式：owner/repo 或完整 URL，默认：gaoruizhang/template）
|
||||
required: false
|
||||
- name: local
|
||||
description: 使用本地模板 ~/Code/template 而非 GitHub（覆盖 template_repo）
|
||||
required: false
|
||||
---
|
||||
|
||||
# 创建新项目
|
||||
|
||||
此命令基于模板创建新项目，包含以下步骤：
|
||||
1. 从 GitHub 或本地获取模板文件
|
||||
2. 替换项目名称
|
||||
3. 初始化 uv 项目
|
||||
4. 配置 Git 仓库和分支策略
|
||||
5. 创建初始 tag
|
||||
6. 初始化 GitHub 远程仓库
|
||||
|
||||
```bash
|
||||
# 解析参数
|
||||
PROJECT_NAME="{{project_name}}"
|
||||
PROJECT_PATH="${path:-$HOME/Code}"
|
||||
FULL_PATH="$PROJECT_PATH/$PROJECT_NAME"
|
||||
TEMPLATE_REPO="{{template_repo:-gaoruizhang/template}}"
|
||||
USE_LOCAL="{{local}}"
|
||||
INITIAL_TAG="v0.1.0"
|
||||
|
||||
# 确定使用本地还是 GitHub 模板
|
||||
if [ "$USE_LOCAL" = "true" ]; then
|
||||
# local 参数优先
|
||||
TEMPLATE_PATH="$HOME/Code/template"
|
||||
USE_LOCAL_TEMPLATE=true
|
||||
else
|
||||
# 使用 GitHub 模板
|
||||
if [[ "$TEMPLATE_REPO" == https://github.com/* ]] || [[ "$TEMPLATE_REPO" == git@github.com:* ]]; then
|
||||
TEMPLATE_URL="$TEMPLATE_REPO"
|
||||
else
|
||||
# owner/repo 格式，转换为 HTTPS URL
|
||||
TEMPLATE_URL="https://github.com/$TEMPLATE_REPO"
|
||||
fi
|
||||
USE_LOCAL_TEMPLATE=false
|
||||
fi
|
||||
|
||||
echo "🚀 创建新项目: $PROJECT_NAME"
|
||||
echo "📁 路径: $FULL_PATH"
|
||||
echo ""
|
||||
|
||||
# 检查模板源
|
||||
if [ "$USE_LOCAL_TEMPLATE" = true ]; then
|
||||
if [ ! -d "$TEMPLATE_PATH" ]; then
|
||||
echo "❌ 错误: 本地模板目录不存在: $TEMPLATE_PATH"
|
||||
exit 1
|
||||
fi
|
||||
echo "📋 使用本地模板: $TEMPLATE_PATH"
|
||||
else
|
||||
echo "📋 使用 GitHub 模板: $TEMPLATE_URL"
|
||||
fi
|
||||
|
||||
# 检查目标目录是否已存在
|
||||
if [ -d "$FULL_PATH" ]; then
|
||||
echo "❌ 错误: 目录已存在: $FULL_PATH"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# 1. 创建项目目录
|
||||
echo "📂 创建项目目录..."
|
||||
mkdir -p "$FULL_PATH"
|
||||
|
||||
# 2. 获取模板文件
|
||||
echo "📋 获取模板文件..."
|
||||
if [ "$USE_LOCAL_TEMPLATE" = true ]; then
|
||||
# 本地模板：使用 rsync 复制（排除 .git、.idea、.DS_Store 等）
|
||||
rsync -av --exclude='.git' \
|
||||
--exclude='.idea' \
|
||||
--exclude='.DS_Store' \
|
||||
--exclude='__pycache__' \
|
||||
--exclude='*.pyc' \
|
||||
"$TEMPLATE_PATH/" "$FULL_PATH/"
|
||||
else
|
||||
# GitHub 模板：使用 git clone 到临时目录，然后移动文件
|
||||
TEMP_TEMPLATE_DIR=$(mktemp -d)
|
||||
git clone --depth 1 "$TEMPLATE_URL" "$TEMP_TEMPLATE_DIR"
|
||||
|
||||
# 移动文件到目标目录（排除 .git）
|
||||
rsync -av --exclude='.git' \
|
||||
--exclude='.idea' \
|
||||
--exclude='.DS_Store' \
|
||||
--exclude='__pycache__' \
|
||||
--exclude='*.pyc' \
|
||||
"$TEMP_TEMPLATE_DIR/" "$FULL_PATH/"
|
||||
|
||||
# 清理临时目录
|
||||
rm -rf "$TEMP_TEMPLATE_DIR"
|
||||
fi
|
||||
|
||||
# 3. 替换项目名称
|
||||
echo "✏️ 替换项目名称..."
|
||||
cd "$FULL_PATH"
|
||||
|
||||
# 替换 README.md 第一行（如果是示例标题）
|
||||
if [ -f "README.md" ]; then
|
||||
# 检查第一行是否是 # 开头的标题
|
||||
FIRST_LINE=$(head -n 1 README.md)
|
||||
if [[ "$FIRST_LINE" == "#"* ]]; then
|
||||
# 替换第一行为项目名称
|
||||
echo "# $PROJECT_NAME" > README.md.new
|
||||
tail -n +2 README.md >> README.md.new
|
||||
mv README.md.new README.md
|
||||
echo " ✓ 更新 README.md 标题"
|
||||
fi
|
||||
fi
|
||||
|
||||
# 替换 pyproject.toml 中的项目名称（如果存在）
|
||||
if [ -f "pyproject.toml" ]; then
|
||||
sed -i.bak "s/name = \".*\"/name = \"$PROJECT_NAME\"/" pyproject.toml
|
||||
rm -f pyproject.toml.bak
|
||||
echo " ✓ 更新 pyproject.toml 项目名"
|
||||
fi
|
||||
|
||||
# 4. 初始化 uv 项目
|
||||
echo "🔧 初始化 uv 项目..."
|
||||
uv init --no-readme # README 已从模板复制
|
||||
|
||||
# 4.5 生成 uv.lock（最佳实践：初始提交应包含 lockfile）
|
||||
echo "🔒 生成 uv.lock..."
|
||||
uv sync
|
||||
|
||||
# 5. 初始化 Git 仓库（默认在 master 分支）
|
||||
echo "🔧 初始化 Git 仓库..."
|
||||
git init
|
||||
|
||||
# 6. 初始提交在 master
|
||||
echo "📝 创建初始提交..."
|
||||
git add .
|
||||
git commit -m "chore: 初始化项目
|
||||
|
||||
基于模板创建项目结构
|
||||
- 配置项目结构
|
||||
- 初始化 uv 依赖管理（包含 uv.lock）
|
||||
- 设置 Git 工作流 (master/develop)
|
||||
- 创建初始版本 $INITIAL_TAG"
|
||||
|
||||
# 7. 创建初始 tag（在 master 上）
|
||||
echo "🏷️ 创建初始标签: $INITIAL_TAG"
|
||||
git tag -a "$INITIAL_TAG" -m "release: $INITIAL_TAG 初始版本
|
||||
|
||||
项目初始化完成"
|
||||
|
||||
# 8. 创建 develop 分支
|
||||
echo "🌿 创建 develop 分支..."
|
||||
git checkout -b develop
|
||||
|
||||
# 9. 询问是否创建 GitHub 仓库
|
||||
echo ""
|
||||
echo "✅ 项目创建完成！"
|
||||
echo ""
|
||||
echo "📍 项目位置: $FULL_PATH"
|
||||
echo "🏷️ 初始版本: $INITIAL_TAG"
|
||||
echo ""
|
||||
echo "📌 下一步操作:"
|
||||
echo " cd $FULL_PATH"
|
||||
echo ""
|
||||
|
||||
# 询问是否创建 GitHub 远程仓库
|
||||
read -p "是否创建 GitHub 远程仓库？(y/n): " -n 1 -r
|
||||
echo
|
||||
if [[ $REPLY =~ ^[Yy]$ ]]; then
|
||||
# 检查 gh CLI 是否安装
|
||||
if ! command -v gh &> /dev/null; then
|
||||
echo "⚠️ GitHub CLI (gh) 未安装，跳过远程仓库创建"
|
||||
echo " 安装: brew install gh"
|
||||
else
|
||||
echo "🌐 创建 GitHub 远程仓库..."
|
||||
cd "$FULL_PATH"
|
||||
|
||||
# 使用 gh CLI 创建仓库
|
||||
gh repo create "$PROJECT_NAME" --private --source=. --remote=origin
|
||||
|
||||
# 推送分支和标签（先切换回 master）
|
||||
echo "📤 推送分支和标签到远程..."
|
||||
git checkout master
|
||||
git push -u origin master
|
||||
git push origin "$INITIAL_TAG"
|
||||
git push -u origin develop
|
||||
git checkout develop
|
||||
|
||||
echo ""
|
||||
echo "✅ GitHub 仓库创建完成！"
|
||||
|
||||
# 获取仓库 URL
|
||||
REPO_URL=$(git config --get remote.origin.url)
|
||||
if [[ "$REPO_URL" == "git@github.com"* ]]; then
|
||||
# SSH URL
|
||||
REPO_URL="https://github.com/$(git config --get user.name)/$PROJECT_NAME"
|
||||
fi
|
||||
echo " 👉 $REPO_URL"
|
||||
fi
|
||||
else
|
||||
echo "⏭️ 跳过 GitHub 仓库创建"
|
||||
echo " 稍后可手动执行:"
|
||||
echo " cd $FULL_PATH && gh repo create $PROJECT_NAME --private --source=. --remote=origin"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "🎉 项目初始化完成！"
|
||||
echo ""
|
||||
echo "📋 Git 工作流说明:"
|
||||
echo " - master: 主分支（生产环境）- 禁止直接推送"
|
||||
echo " - develop: 开发分支"
|
||||
echo " - feature/xxx: 功能分支（从 develop 创建）"
|
||||
echo " - bugfix/xxx: Bug 修复分支（从 develop 创建）"
|
||||
echo ""
|
||||
echo "📚 常用命令:"
|
||||
echo " git checkout develop # 切换到开发分支"
|
||||
echo " git checkout -b feature/xxx # 创建功能分支"
|
||||
echo " git checkout develop && git merge --no-ff feature/xxx # 合并功能分支"
|
||||
echo " git tag -a v1.0.0 -m \"release: v1.0.0\" # 创建版本标签"
|
||||
echo ""
|
||||
echo "📦 uv 常用命令:"
|
||||
echo " uv run python script.py # 运行脚本（无需激活 venv）"
|
||||
echo " uv add <package> # 添加依赖"
|
||||
echo " uv add --dev pytest black ruff # 添加开发依赖"
|
||||
echo " uv lock --check # 检查 lockfile 是否最新"
|
||||
echo " uv sync --frozen # CI 中使用（精确版本）"
|
||||
echo ""
|
||||
echo "📦 下一步:"
|
||||
echo " cd $FULL_PATH"
|
||||
echo " # 依赖已安装，虚拟环境已创建 (.venv)"
|
||||
echo ""
|
||||
45
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-archive.md
Normal file
45
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-archive.md
Normal file
@@ -0,0 +1,45 @@
|
||||
---
|
||||
name: kb-archive
|
||||
description: Archive, detach, purge, or rename KB objects while keeping registry, index, and links consistent.
|
||||
args:
|
||||
- name: action
|
||||
description: detach, archive, purge, rename
|
||||
required: true
|
||||
- name: target
|
||||
description: Project-relative note path when operating on a note.
|
||||
required: false
|
||||
- name: dest
|
||||
description: Destination note path for rename.
|
||||
required: false
|
||||
tags: [Research, Obsidian, KB, Lifecycle]
|
||||
---
|
||||
|
||||
# /kb-archive
|
||||
|
||||
Use this command for KB lifecycle actions.
|
||||
|
||||
## Project-level lifecycle
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/project_kb.py" lifecycle --cwd "$PWD" --mode "$action"
|
||||
```
|
||||
|
||||
Project archive means moving the whole project to:
|
||||
|
||||
```text
|
||||
Research/_archived/{project-slug}-{date}/
|
||||
```
|
||||
|
||||
## Note-level lifecycle
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/project_kb.py" note-lifecycle --cwd "$PWD" --mode "$action" --note "$target"
|
||||
```
|
||||
|
||||
If `action=rename`, also pass `--dest "$dest"`.
|
||||
|
||||
Note archive means moving a canonical note into:
|
||||
|
||||
```text
|
||||
Research/{project-slug}/Archive/
|
||||
```
|
||||
14
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-index.md
Normal file
14
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-index.md
Normal file
@@ -0,0 +1,14 @@
|
||||
---
|
||||
name: kb-index
|
||||
description: Refresh the auto index block inside 02-Index.md without overwriting curated content.
|
||||
tags: [Research, Obsidian, KB]
|
||||
---
|
||||
|
||||
# /kb-index
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/project_kb.py" sync --cwd "$PWD" --scope index
|
||||
```
|
||||
|
||||
The index is a human navigation note, not a registry mirror.
|
||||
Only the auto-generated block should be refreshed here; curated sections must stay intact.
|
||||
25
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-ingest.md
Normal file
25
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-ingest.md
Normal file
@@ -0,0 +1,25 @@
|
||||
---
|
||||
name: kb-ingest
|
||||
description: Ingest external material into Sources/* inside the bound project KB, then update registry, index, and daily note as needed.
|
||||
args:
|
||||
- name: path
|
||||
description: Source path or URL to ingest.
|
||||
required: true
|
||||
tags: [Research, Obsidian, KB, Ingestion]
|
||||
---
|
||||
|
||||
# /kb-ingest
|
||||
|
||||
Use `obsidian-source-ingestion` with the new routing rules:
|
||||
|
||||
- paper -> `Sources/Papers/`
|
||||
- web -> `Sources/Web/`
|
||||
- docs/spec -> `Sources/Docs/`
|
||||
- dataset/benchmark -> `Sources/Data/`
|
||||
- interview/transcript -> `Sources/Interviews/`
|
||||
- loose imported note -> `Sources/Notes/`
|
||||
|
||||
After ingest:
|
||||
- update `_system/registry.md`
|
||||
- update `02-Index.md` when the source is important
|
||||
- append a short line to today's `Daily/` when this is part of an active session
|
||||
62
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-init.md
Normal file
62
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-init.md
Normal file
@@ -0,0 +1,62 @@
|
||||
---
|
||||
name: kb-init
|
||||
description: Initialize or rebuild a vault-first, project-scoped Obsidian KB under Research/{project-slug}/ for the current repository.
|
||||
args:
|
||||
- name: project
|
||||
description: Optional project name. Defaults to the repository name.
|
||||
required: false
|
||||
- name: vault_path
|
||||
description: Absolute Obsidian vault path. Defaults to OBSIDIAN_VAULT_PATH.
|
||||
required: false
|
||||
- name: force
|
||||
description: Force scaffold refresh when the project already exists.
|
||||
required: false
|
||||
default: false
|
||||
tags: [Research, Obsidian, KB]
|
||||
---
|
||||
|
||||
# /kb-init
|
||||
|
||||
Use the new KB scaffold under `Research/{project-slug}/`.
|
||||
|
||||
## Run
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/project_kb.py" bootstrap \
|
||||
--cwd "$PWD" \
|
||||
--vault-path "$vault_path"
|
||||
```
|
||||
|
||||
If `project` is provided, add:
|
||||
|
||||
```bash
|
||||
--project-name "$project"
|
||||
```
|
||||
|
||||
If `force=true`, add:
|
||||
|
||||
```bash
|
||||
--force
|
||||
```
|
||||
|
||||
## Verify
|
||||
|
||||
The scaffold must contain:
|
||||
|
||||
```text
|
||||
Research/{project-slug}/
|
||||
00-Hub.md
|
||||
01-Plan.md
|
||||
02-Index.md
|
||||
Sources/*
|
||||
Knowledge/
|
||||
Experiments/
|
||||
Results/Reports/
|
||||
Writing/
|
||||
Daily/
|
||||
Maps/
|
||||
Archive/
|
||||
_system/
|
||||
```
|
||||
|
||||
It must also keep repo-local `.claude/project-memory/*` as runtime binding metadata only.
|
||||
25
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-links.md
Normal file
25
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-links.md
Normal file
@@ -0,0 +1,25 @@
|
||||
---
|
||||
name: kb-links
|
||||
description: Repair or strengthen wikilinks among canonical KB notes without generating extra artifact sprawl.
|
||||
tags: [Research, Obsidian, KB]
|
||||
---
|
||||
|
||||
# /kb-links
|
||||
|
||||
Use `obsidian-kb-artifacts` for standalone wikilink repair.
|
||||
|
||||
Default surfaces:
|
||||
- `Sources/`
|
||||
- `Knowledge/`
|
||||
- `Experiments/`
|
||||
- `Results/`
|
||||
- `Writing/`
|
||||
- `00-Hub.md`
|
||||
- `01-Plan.md`
|
||||
- `02-Index.md`
|
||||
|
||||
Rules:
|
||||
- repair links inside existing canonical notes first
|
||||
- do not create new notes just to satisfy a weak connection
|
||||
- after substantial link repair, run `/kb-sync` or `/kb-lint`
|
||||
- only touch `Maps/` when the user explicitly wants artifact updates
|
||||
13
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-lint.md
Normal file
13
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-lint.md
Normal file
@@ -0,0 +1,13 @@
|
||||
---
|
||||
name: kb-lint
|
||||
description: Run deterministic KB health checks and rewrite _system/lint-report.md.
|
||||
tags: [Research, Obsidian, KB, Lint]
|
||||
---
|
||||
|
||||
# /kb-lint
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/kb_lint.py" --cwd "$PWD"
|
||||
```
|
||||
|
||||
Checks include registry coverage, broken wikilinks, index coverage, canvas validity, and several KB consistency warnings.
|
||||
@@ -0,0 +1,25 @@
|
||||
---
|
||||
name: kb-literature-review
|
||||
description: Run the project-scoped literature workflow from Sources/Papers into Knowledge, Writing, and Maps/literature.canvas.
|
||||
tags: [Research, Obsidian, KB, Literature]
|
||||
---
|
||||
|
||||
# /kb-literature-review
|
||||
|
||||
Use `obsidian-literature-workflow`.
|
||||
|
||||
Conditional outputs:
|
||||
- `Knowledge/Literature Overview.md` only when paper notes contain enough Evidence Records for synthesis
|
||||
- `Knowledge/Method Taxonomy.md` when useful and evidence-backed
|
||||
- `Knowledge/Research Gaps.md` when useful and evidence-backed
|
||||
- `Knowledge/Claim Map.md` or a warning when evidence is weak
|
||||
- `Writing/related-work-draft.md` only when promoted claims pass the evidence gate
|
||||
- `Maps/literature.canvas`
|
||||
|
||||
Keep source notes in `Sources/Papers/`. Do not turn source notes into synthesis notes.
|
||||
|
||||
Evidence gate:
|
||||
- refuse polished `Knowledge` or `Writing` synthesis when paper notes lack Evidence Records,
|
||||
- keep abstract-only or webpage-placeholder items in coverage / `To-Read`,
|
||||
- generate a warning or `Knowledge/Claim Map.md` instead of a mature related-work draft when evidence is weak,
|
||||
- preserve claim strength on literature canvas edges.
|
||||
15
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-log.md
Normal file
15
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-log.md
Normal file
@@ -0,0 +1,15 @@
|
||||
---
|
||||
name: kb-log
|
||||
description: Update the current project Daily note and, when needed, the plan, hub, and runtime binding summary.
|
||||
tags: [Research, Obsidian, KB, Daily]
|
||||
---
|
||||
|
||||
# /kb-log
|
||||
|
||||
Use `obsidian-project-kb-core`.
|
||||
|
||||
Default targets:
|
||||
- `Daily/YYYY-MM-DD.md`
|
||||
- `01-Plan.md` when a durable task changes
|
||||
- `00-Hub.md` only when project-level focus changes
|
||||
- `.claude/project-memory/<project_id>.md` as runtime sync summary
|
||||
14
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-map.md
Normal file
14
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-map.md
Normal file
@@ -0,0 +1,14 @@
|
||||
---
|
||||
name: kb-map
|
||||
description: Generate or repair derived KB artifacts such as literature.canvas, optional Bases, or other explicit map outputs.
|
||||
tags: [Research, Obsidian, KB, Maps]
|
||||
---
|
||||
|
||||
# /kb-map
|
||||
|
||||
Default automatic map maintenance is limited to `Maps/literature.canvas` from the literature workflow.
|
||||
|
||||
Use `obsidian-kb-artifacts` for:
|
||||
- canvas validation or repair
|
||||
- explicit `.base` generation
|
||||
- optional extra maps when the user asks for them
|
||||
16
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-promote.md
Normal file
16
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-promote.md
Normal file
@@ -0,0 +1,16 @@
|
||||
---
|
||||
name: kb-promote
|
||||
description: Promote durable content from Daily or source notes into canonical Knowledge, Experiments, Results, Results/Reports, or Writing notes.
|
||||
tags: [Research, Obsidian, KB]
|
||||
---
|
||||
|
||||
# /kb-promote
|
||||
|
||||
Use `obsidian-project-kb-core` to decide whether content should become:
|
||||
- `Knowledge/`
|
||||
- `Experiments/`
|
||||
- `Results/`
|
||||
- `Results/Reports/`
|
||||
- `Writing/`
|
||||
|
||||
Do not promote raw session noise. Update `_system/registry.md` and `02-Index.md` after promotion.
|
||||
13
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-status.md
Normal file
13
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-status.md
Normal file
@@ -0,0 +1,13 @@
|
||||
---
|
||||
name: kb-status
|
||||
description: Summarize the current bound project KB status, including registry counts and key project note paths.
|
||||
tags: [Research, Obsidian, KB]
|
||||
---
|
||||
|
||||
# /kb-status
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/project_kb.py" status --cwd "$PWD"
|
||||
```
|
||||
|
||||
Optionally add `--project-id "$project_id"` when the repo has multiple bindings.
|
||||
34
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-sync.md
Normal file
34
文档润色流和知识库构建流/claude-scholar-upstream/commands/kb-sync.md
Normal file
@@ -0,0 +1,34 @@
|
||||
---
|
||||
name: kb-sync
|
||||
description: Run deterministic KB maintenance to refresh scaffold integrity, registry, index, daily note, and runtime binding summary.
|
||||
args:
|
||||
- name: scope
|
||||
description: Sync scope such as auto, all, index, literature, experiments, or results.
|
||||
required: false
|
||||
default: auto
|
||||
tags: [Research, Obsidian, KB]
|
||||
---
|
||||
|
||||
# /kb-sync
|
||||
|
||||
Use this when you want a deterministic project-KB resync after structural changes, note moves, migrations, or batch updates.
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-project-kb-core/scripts/project_kb.py" sync --cwd "$PWD" --scope "$scope"
|
||||
```
|
||||
|
||||
Typical scopes:
|
||||
- `auto`
|
||||
- `all`
|
||||
- `index`
|
||||
- `literature`
|
||||
- `experiments`
|
||||
- `results`
|
||||
|
||||
This refreshes:
|
||||
- scaffold integrity under `Research/{project-slug}/`
|
||||
- `_system/registry.md`
|
||||
- `02-Index.md`
|
||||
- today's `Daily/YYYY-MM-DD.md`
|
||||
- repo-local `.claude/project-memory/<project_id>.md`
|
||||
- `00-Hub.md` recent changes when appropriate
|
||||
70
文档润色流和知识库构建流/claude-scholar-upstream/commands/learn.md
Normal file
70
文档润色流和知识库构建流/claude-scholar-upstream/commands/learn.md
Normal file
@@ -0,0 +1,70 @@
|
||||
# /learn - Extract Reusable Patterns
|
||||
|
||||
Analyze the current session and extract any patterns worth saving as skills.
|
||||
|
||||
## Trigger
|
||||
|
||||
Run `/learn` at any point during a session when you've solved a non-trivial problem.
|
||||
|
||||
## What to Extract
|
||||
|
||||
Look for:
|
||||
|
||||
1. **Error Resolution Patterns**
|
||||
- What error occurred?
|
||||
- What was the root cause?
|
||||
- What fixed it?
|
||||
- Is this reusable for similar errors?
|
||||
|
||||
2. **Debugging Techniques**
|
||||
- Non-obvious debugging steps
|
||||
- Tool combinations that worked
|
||||
- Diagnostic patterns
|
||||
|
||||
3. **Workarounds**
|
||||
- Library quirks
|
||||
- API limitations
|
||||
- Version-specific fixes
|
||||
|
||||
4. **Project-Specific Patterns**
|
||||
- Codebase conventions discovered
|
||||
- Architecture decisions made
|
||||
- Integration patterns
|
||||
|
||||
## Output Format
|
||||
|
||||
Create a skill file at `~/.claude/skills/learned/[pattern-name].md`:
|
||||
|
||||
```markdown
|
||||
# [Descriptive Pattern Name]
|
||||
|
||||
**Extracted:** [Date]
|
||||
**Context:** [Brief description of when this applies]
|
||||
|
||||
## Problem
|
||||
[What problem this solves - be specific]
|
||||
|
||||
## Solution
|
||||
[The pattern/technique/workaround]
|
||||
|
||||
## Example
|
||||
[Code example if applicable]
|
||||
|
||||
## When to Use
|
||||
[Trigger conditions - what should activate this skill]
|
||||
```
|
||||
|
||||
## Process
|
||||
|
||||
1. Review the session for extractable patterns
|
||||
2. Identify the most valuable/reusable insight
|
||||
3. Draft the skill file
|
||||
4. Ask user to confirm before saving
|
||||
5. Save to `~/.claude/skills/learned/`
|
||||
|
||||
## Notes
|
||||
|
||||
- Don't extract trivial fixes (typos, simple syntax errors)
|
||||
- Don't extract one-time issues (specific API outages, etc.)
|
||||
- Focus on patterns that will save time in future sessions
|
||||
- Keep skills focused - one pattern per skill
|
||||
@@ -0,0 +1,135 @@
|
||||
---
|
||||
name: mine-writing-patterns
|
||||
description: Read one or more papers and update the active installed paper-miner writing memory with reusable writing patterns, structure signals, reusable phrasing, venue-specific signals, and rebuttal-friendly language.
|
||||
args:
|
||||
- name: source
|
||||
description: Paper source path, URL, arXiv link, or a short description of the target papers
|
||||
required: true
|
||||
- name: focus
|
||||
description: Optional focus area (general/introduction/method/results/rebuttal/venue)
|
||||
required: false
|
||||
default: general
|
||||
tags: [Research, Writing, Paper Mining, Knowledge Extraction]
|
||||
---
|
||||
|
||||
# /mine-writing-patterns - Installed Writing Memory Mining
|
||||
|
||||
Read the paper source "$source" and update the active installed **paper-miner writing memory**.
|
||||
|
||||
## Default target
|
||||
|
||||
Always write mined knowledge into the active installed skill memory, not the repository checkout copy:
|
||||
|
||||
```text
|
||||
~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
|
||||
```
|
||||
|
||||
This command does **not** create project-specific writing memory unless the user explicitly asks for a project-local writing memory.
|
||||
|
||||
## When to use
|
||||
|
||||
Use this command when you want to:
|
||||
- learn reusable writing patterns from a strong paper,
|
||||
- study how a venue frames introductions, methods, results, or rebuttals,
|
||||
- mine phrasing and structure signals before drafting,
|
||||
- enrich the writing memory that powers `ml-paper-writing` and `review-response`.
|
||||
|
||||
## Usage
|
||||
|
||||
### Basic usage
|
||||
|
||||
```bash
|
||||
/mine-writing-patterns path/to/paper.pdf
|
||||
```
|
||||
|
||||
### Mine from an arXiv paper
|
||||
|
||||
```bash
|
||||
/mine-writing-patterns https://arxiv.org/abs/2301.xxxxx
|
||||
```
|
||||
|
||||
### Focus on rebuttal or venue signals
|
||||
|
||||
```bash
|
||||
/mine-writing-patterns path/to/paper.pdf rebuttal
|
||||
/mine-writing-patterns path/to/paper.pdf venue
|
||||
```
|
||||
|
||||
## Workflow
|
||||
|
||||
### Step 1: Resolve the paper source
|
||||
|
||||
Acceptable inputs:
|
||||
- local PDF
|
||||
- local DOCX
|
||||
- arXiv URL
|
||||
- readable web URL
|
||||
- short natural-language request that identifies the paper(s)
|
||||
|
||||
If the source is ambiguous, narrow it before mining.
|
||||
|
||||
### Step 2: Invoke `paper-miner`
|
||||
|
||||
Use the `paper-miner` agent to:
|
||||
- extract paper content,
|
||||
- identify reusable writing knowledge,
|
||||
- merge it into the active installed writing memory,
|
||||
- avoid duplicate entries,
|
||||
- preserve source attribution.
|
||||
|
||||
### Step 3: Respect the focus mode
|
||||
|
||||
Interpret `$focus` as follows:
|
||||
|
||||
| Focus | Priority |
|
||||
|------|----------|
|
||||
| `general` | Mine balanced signals across all major sections |
|
||||
| `introduction` | Emphasize framing, motivation, and contribution setup |
|
||||
| `method` | Emphasize exposition style, technical sequencing, and clarity |
|
||||
| `results` | Emphasize result narration, claim-evidence language, and interpretation |
|
||||
| `rebuttal` | Emphasize clarification phrases, response structure, and reviewer-facing tone |
|
||||
| `venue` | Emphasize venue-specific style and convention signals |
|
||||
|
||||
### Step 4: Update the canonical memory only
|
||||
|
||||
The canonical write target is the active installed skill memory:
|
||||
|
||||
```text
|
||||
~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
|
||||
```
|
||||
|
||||
Update one or more of these sections:
|
||||
- `Writing patterns mined`
|
||||
- `Structure signals`
|
||||
- `Reusable phrasing`
|
||||
- `Venue-specific signals`
|
||||
- `How this helps our writing`
|
||||
- `Source index`
|
||||
|
||||
If that file is unavailable in the current runtime, use the configured installed skill home for the active runtime and state the exact path in the final summary. Do not silently fall back to the repository checkout.
|
||||
|
||||
Do not create project-local writing memory.
|
||||
Do not scatter the mined result across multiple maintained knowledge files.
|
||||
|
||||
### Step 5: Return a standardized mining summary
|
||||
|
||||
The final response should follow the `paper-miner` standardized output format:
|
||||
- metadata
|
||||
- memory write summary
|
||||
- new reusable patterns
|
||||
- how we should reuse this
|
||||
- blockers or limits
|
||||
|
||||
## Related integrations
|
||||
|
||||
- `ml-paper-writing` reads this active installed memory before drafting or revising sections.
|
||||
- `review-response` reads this active installed memory when tone, phrasing, and rebuttal structure matter.
|
||||
- `paper-miner` is the agent that performs the actual mining work.
|
||||
|
||||
## Success criteria
|
||||
|
||||
- the target paper is read successfully,
|
||||
- reusable writing knowledge is merged into the canonical memory,
|
||||
- source attribution is preserved,
|
||||
- no project-specific writing memory is created,
|
||||
- the user receives a standardized mining summary.
|
||||
113
文档润色流和知识库构建流/claude-scholar-upstream/commands/plan.md
Normal file
113
文档润色流和知识库构建流/claude-scholar-upstream/commands/plan.md
Normal file
@@ -0,0 +1,113 @@
|
||||
---
|
||||
description: Restate requirements, assess risks, and create step-by-step implementation plan. WAIT for user CONFIRM before touching any code.
|
||||
---
|
||||
|
||||
# Plan Command
|
||||
|
||||
This command creates a comprehensive implementation plan before writing any code.
|
||||
|
||||
## What This Command Does
|
||||
|
||||
1. **Restate Requirements** - Clarify what needs to be built
|
||||
2. **Identify Risks** - Surface potential issues and blockers
|
||||
3. **Create Step Plan** - Break down implementation into phases
|
||||
4. **Wait for Confirmation** - MUST receive user approval before proceeding
|
||||
|
||||
## When to Use
|
||||
|
||||
Use `/plan` when:
|
||||
- Starting a new feature
|
||||
- Making significant architectural changes
|
||||
- Working on complex refactoring
|
||||
- Multiple files/components will be affected
|
||||
- Requirements are unclear or ambiguous
|
||||
|
||||
## How It Works
|
||||
|
||||
This command should:
|
||||
|
||||
1. **Analyze the request** and restate requirements in clear terms
|
||||
2. **Break down into phases** with specific, actionable steps
|
||||
3. **Identify dependencies** between components
|
||||
4. **Assess risks** and potential blockers
|
||||
5. **Estimate complexity** (High/Medium/Low)
|
||||
6. **Present the plan** and WAIT for your explicit confirmation
|
||||
|
||||
## Example Usage
|
||||
|
||||
```
|
||||
User: /plan I need to add real-time notifications when markets resolve
|
||||
|
||||
Assistant:
|
||||
# Implementation Plan: Real-Time Market Resolution Notifications
|
||||
|
||||
## Requirements Restatement
|
||||
- Send notifications to users when markets they're watching resolve
|
||||
- Support multiple notification channels (in-app, email, webhook)
|
||||
- Ensure notifications are delivered reliably
|
||||
- Include market outcome and user's position result
|
||||
|
||||
## Implementation Phases
|
||||
|
||||
### Phase 1: Database Schema
|
||||
- Add notifications table with columns: id, user_id, market_id, type, status, created_at
|
||||
- Add user_notification_preferences table for channel preferences
|
||||
- Create indexes on user_id and market_id for performance
|
||||
|
||||
### Phase 2: Notification Service
|
||||
- Create notification service in lib/notifications.py
|
||||
- Implement notification queue using Celery/Redis
|
||||
- Add retry logic for failed deliveries
|
||||
- Create notification templates (Jinja2)
|
||||
|
||||
### Phase 3: Integration Points
|
||||
- Hook into market resolution logic (when status changes to "resolved")
|
||||
- Query all users with positions in market
|
||||
- Enqueue notifications for each user
|
||||
|
||||
### Phase 4: API/Frontend
|
||||
- Create notification endpoints (GET /api/notifications, POST /api/notifications/read)
|
||||
- WebSocket support for real-time updates
|
||||
- Frontend notification bell component
|
||||
- Notification preferences page
|
||||
|
||||
## Dependencies
|
||||
- Redis (for Celery queue)
|
||||
- Celery (task queue)
|
||||
- Email service (SendGrid/Resend/SMTP)
|
||||
- WebSocket server (channels/websocket)
|
||||
|
||||
## Risks
|
||||
- HIGH: Email deliverability (SPF/DKIM required)
|
||||
- MEDIUM: Performance with 1000+ users per market
|
||||
- MEDIUM: Notification spam if markets resolve frequently
|
||||
- LOW: WebSocket connection overhead
|
||||
|
||||
## Estimated Complexity: MEDIUM
|
||||
- Backend: 4-6 hours
|
||||
- API/Frontend: 3-4 hours
|
||||
- Testing: 2-3 hours
|
||||
- Total: 9-13 hours
|
||||
|
||||
**WAITING FOR CONFIRMATION**: Proceed with this plan? (yes/no/modify)
|
||||
```
|
||||
|
||||
## Important Notes
|
||||
|
||||
**CRITICAL**: Do **NOT** write any code until the user explicitly confirms the plan with "yes" or "proceed" or a similar affirmative response.
|
||||
|
||||
If you want changes, respond with:
|
||||
- "modify: [your changes]"
|
||||
- "different approach: [alternative]"
|
||||
- "skip phase 2 and do phase 3 first"
|
||||
|
||||
## Integration with Other Commands
|
||||
|
||||
After planning:
|
||||
- Use `/tdd` to implement with test-driven development
|
||||
- Use `/build-and-fix` if build errors occur
|
||||
- Use `/code-review` to review completed implementation
|
||||
|
||||
## Related Skills
|
||||
|
||||
- `architecture-design` (when structural design is needed)
|
||||
31
文档润色流和知识库构建流/claude-scholar-upstream/commands/poster.md
Normal file
31
文档润色流和知识库构建流/claude-scholar-upstream/commands/poster.md
Normal file
@@ -0,0 +1,31 @@
|
||||
---
|
||||
name: poster
|
||||
description: Design academic poster for conference
|
||||
---
|
||||
|
||||
# Design Academic Poster
|
||||
|
||||
Use the post-acceptance skill to design an academic poster for your conference presentation.
|
||||
|
||||
## What this command does:
|
||||
|
||||
1. Guides you through poster design process
|
||||
2. Provides layout templates and design guidelines
|
||||
3. Helps with visual hierarchy and content organization
|
||||
|
||||
## Usage:
|
||||
|
||||
Simply run `/poster` and follow the prompts to design your academic poster.
|
||||
|
||||
The command will:
|
||||
- Ask about poster size requirements (A0/A1)
|
||||
- Suggest layout structure (3-4 columns)
|
||||
- Provide design guidelines from `references/design-guidelines.md`
|
||||
- Reference templates from `references/poster-templates/`
|
||||
|
||||
## Tips:
|
||||
|
||||
- Start designing 1-2 weeks before printing
|
||||
- Use high-resolution images (300 DPI)
|
||||
- Keep text concise and readable
|
||||
- Print a test version before final printing
|
||||
@@ -0,0 +1,31 @@
|
||||
---
|
||||
name: presentation
|
||||
description: Create conference presentation slides quickly
|
||||
---
|
||||
|
||||
# Create Conference Presentation
|
||||
|
||||
Use the post-acceptance skill to create presentation slides for your accepted paper.
|
||||
|
||||
## What this command does:
|
||||
|
||||
1. Guides you through presentation slide creation
|
||||
2. Provides templates and design guidelines
|
||||
3. Helps with time management and content structure
|
||||
|
||||
## Usage:
|
||||
|
||||
Simply run `/presentation` and follow the prompts to create your conference presentation slides.
|
||||
|
||||
The command will:
|
||||
- Ask about your presentation time limit
|
||||
- Suggest slide structure
|
||||
- Provide design guidelines from `references/design-guidelines.md`
|
||||
- Reference templates from `references/presentation-templates/`
|
||||
|
||||
## Tips:
|
||||
|
||||
- Start preparing 2-3 weeks before the conference
|
||||
- Practice your presentation multiple times
|
||||
- Keep slides simple and visual
|
||||
- Prepare backup PDF version
|
||||
31
文档润色流和知识库构建流/claude-scholar-upstream/commands/promote.md
Normal file
31
文档润色流和知识库构建流/claude-scholar-upstream/commands/promote.md
Normal file
@@ -0,0 +1,31 @@
|
||||
---
|
||||
name: promote
|
||||
description: Generate promotion content for multiple platforms
|
||||
---
|
||||
|
||||
# Generate Promotion Content
|
||||
|
||||
Use the post-acceptance skill to generate promotion content for your accepted paper across multiple platforms.
|
||||
|
||||
## What this command does:
|
||||
|
||||
1. Generates promotion content for Twitter/X, LinkedIn, blog, and news
|
||||
2. Uses the generate-promotion.py script for automated content generation
|
||||
3. Provides examples and best practices
|
||||
|
||||
## Usage:
|
||||
|
||||
Simply run `/promote` and follow the prompts to generate promotion content.
|
||||
|
||||
The command will:
|
||||
- Ask about target platforms (Twitter, LinkedIn, Blog, News)
|
||||
- Generate platform-specific content
|
||||
- Provide examples from `references/promotion-examples/`
|
||||
- Use `scripts/generate-promotion.py` for automation
|
||||
|
||||
## Tips:
|
||||
|
||||
- Prepare promotion content 1 week before conference
|
||||
- Coordinate timing with conference schedule
|
||||
- Use high-quality visuals
|
||||
- Include links to paper and code
|
||||
157
文档润色流和知识库构建流/claude-scholar-upstream/commands/rebuttal.md
Normal file
157
文档润色流和知识库构建流/claude-scholar-upstream/commands/rebuttal.md
Normal file
@@ -0,0 +1,157 @@
|
||||
---
|
||||
name: rebuttal
|
||||
description: Start systematic review response workflow for professional rebuttal writing
|
||||
args:
|
||||
review_file:
|
||||
description: 审稿意见文件路径（可选）
|
||||
required: false
|
||||
---
|
||||
|
||||
# /rebuttal - 审稿响应工作流
|
||||
|
||||
启动系统化的rebuttal撰写流程，从审稿意见分析到最终rebuttal文档生成。
|
||||
|
||||
## 用法
|
||||
|
||||
```bash
|
||||
/rebuttal [review_file]
|
||||
```
|
||||
|
||||
**参数**:
|
||||
- `review_file` (可选): 包含审稿意见的文件路径
|
||||
- 如果不提供，将引导用户提供审稿意见
|
||||
|
||||
## 功能
|
||||
|
||||
此命令将启动完整的rebuttal撰写工作流：
|
||||
|
||||
1. **获取审稿意见** - 读取或接收审稿意见
|
||||
2. **分析和分类** - 将意见拆成 atomic objections，并分类为Major/Minor/Typo/Misunderstanding
|
||||
3. **制定策略** - 为每条意见选择响应策略
|
||||
4. **撰写rebuttal** - 生成结构化的回复文档
|
||||
5. **语气优化** - 确保专业、礼貌的表达
|
||||
6. **生成输出** - 保存最终的rebuttal文档
|
||||
|
||||
|
||||
## 工作流程
|
||||
|
||||
### 步骤 1: 获取审稿意见
|
||||
|
||||
如果提供了`review_file`参数：
|
||||
- 读取文件内容
|
||||
- 识别审稿人数量和意见结构
|
||||
|
||||
如果未提供文件：
|
||||
- 引导用户粘贴或描述审稿意见
|
||||
- 确认审稿人数量
|
||||
|
||||
### 步骤 2: 分析和分类
|
||||
|
||||
优先使用`review-response` skill；如果当前 runtime 提供 `rebuttal-writer` agent，可以用它辅助分析：
|
||||
- 按审稿人分组意见
|
||||
- 拆分每条 atomic objection
|
||||
- 分类为Major/Minor/Typo/Misunderstanding
|
||||
- 识别优先级
|
||||
|
||||
### 步骤 3: 制定响应策略
|
||||
|
||||
为每条意见选择策略：
|
||||
- **Accept** - 接受并改进
|
||||
- **Defend** - 礼貌辩护
|
||||
- **Clarify** - 澄清误解
|
||||
- **Experiment** - 补充实验
|
||||
|
||||
|
||||
### 步骤 4: 撰写Rebuttal
|
||||
|
||||
生成结构化的回复：
|
||||
- 为每条意见撰写Response和Changes
|
||||
- 包含具体的位置引用
|
||||
- 提供证据和理由
|
||||
- 每条 response 必须包含 evidence anchor：paper location、result table、figure、analysis artifact、citation、Evidence Record ID、planned experiment status，或 `unresolved`
|
||||
|
||||
### 步骤 5: 语气优化
|
||||
|
||||
检查和优化语气：
|
||||
- 确保每个回复以感谢开始
|
||||
- 避免防御性或攻击性表达
|
||||
- 保持专业和尊重
|
||||
|
||||
### 步骤 6: 生成输出
|
||||
|
||||
保存最终文档：
|
||||
- `rebuttal.md` - 完整的rebuttal文档
|
||||
- `review-analysis.md` - 审稿意见分析（可选）
|
||||
- `experiment-plan.md` - 补充实验计划（如果需要补充实验）
|
||||
|
||||
|
||||
## 输出文件
|
||||
|
||||
执行此命令后，将生成以下文件：
|
||||
|
||||
### rebuttal.md
|
||||
完整的rebuttal文档，包含：
|
||||
- 开场白（感谢审稿人）
|
||||
- 逐条回复（Response + Changes）
|
||||
- 主要修改总结
|
||||
|
||||
### review-analysis.md（可选）
|
||||
审稿意见分析文档，包含：
|
||||
- 意见分类统计
|
||||
- 策略选择说明
|
||||
- 需要补充的实验列表
|
||||
|
||||
### experiment-plan.md（可选）
|
||||
补充实验计划文档，包含：
|
||||
- 需要补充的实验列表
|
||||
- 每个实验的目的和预期结果
|
||||
- 实验的优先级和时间估计
|
||||
|
||||
## 使用示例
|
||||
|
||||
### 示例 1: 提供审稿意见文件
|
||||
|
||||
```bash
|
||||
/rebuttal reviews.txt
|
||||
```
|
||||
|
||||
将读取`reviews.txt`文件中的审稿意见，并启动rebuttal撰写流程。
|
||||
|
||||
### 示例 2: 交互式输入
|
||||
|
||||
```bash
|
||||
/rebuttal
|
||||
```
|
||||
|
||||
将引导你粘贴或描述审稿意见，然后启动rebuttal撰写流程。
|
||||
|
||||
|
||||
## 注意事项
|
||||
|
||||
### 重要原则
|
||||
|
||||
1. **覆盖优先** - 可以使用人工阅读或脚本辅助统计 atomic objections；不要因为自然语言总结而漏掉具体意见
|
||||
2. **保持专业语气** - 所有回复都要礼貌、尊重、有理有据
|
||||
3. **提供具体证据** - 每个回复都要包含具体的位置引用和证据
|
||||
4. **完整性检查** - 确保所有审稿意见都得到回应
|
||||
|
||||
### 参考资源
|
||||
|
||||
此命令会自动使用以下参考文档：
|
||||
- `review-classification.md` - 意见分类标准
|
||||
- `response-strategies.md` - 响应策略指南
|
||||
- `rebuttal-templates.md` - 回复模板库
|
||||
- `tone-guidelines.md` - 语气优化指南
|
||||
|
||||
### Agent调用
|
||||
|
||||
如果当前 runtime 提供 `rebuttal-writer` agent，可以调用它来执行 rebuttal 撰写任务。若 agent 不可用，直接按 `review-response` skill 和本命令流程完成，不要阻塞。
|
||||
|
||||
## 相关命令
|
||||
|
||||
- `/commit` - 提交修改后的论文
|
||||
- `/code-review` - 审查代码质量
|
||||
|
||||
---
|
||||
|
||||
**提示**: 使用此命令前，建议先准备好审稿意见文件，并确保已经完成论文的必要修改。
|
||||
@@ -0,0 +1,29 @@
|
||||
# Refactor Clean
|
||||
|
||||
Safely identify and remove dead code with test verification:
|
||||
|
||||
1. Run dead code analysis tools:
|
||||
- vulture: Find unused Python code (functions, classes, variables)
|
||||
- pyflakes: Detect unused imports and variables
|
||||
- ruff check --select F401: Find unused imports
|
||||
- pip-audit: Check for security vulnerabilities
|
||||
|
||||
2. Generate comprehensive report in .reports/dead-code-analysis.md
|
||||
|
||||
3. Categorize findings by severity:
|
||||
- SAFE: Test files, unused utilities, unused imports
|
||||
- CAUTION: API routes, models, fixtures
|
||||
- DANGER: Config files, main entry points, registry decorators
|
||||
|
||||
4. Propose safe deletions only
|
||||
|
||||
5. Before each deletion:
|
||||
- Run full test suite (pytest)
|
||||
- Verify tests pass
|
||||
- Apply change
|
||||
- Re-run tests
|
||||
- Rollback if tests fail
|
||||
|
||||
6. Show summary of cleaned items
|
||||
|
||||
Never delete code without running tests first!
|
||||
292
文档润色流和知识库构建流/claude-scholar-upstream/commands/research-init.md
Normal file
292
文档润色流和知识库构建流/claude-scholar-upstream/commands/research-init.md
Normal file
@@ -0,0 +1,292 @@
|
||||
---
|
||||
name: research-init
|
||||
description: Initialize a research project with Zotero-integrated literature review. Creates or audits project-scoped sources, generates research question cards, and only writes a research proposal when the evidence gate passes.
|
||||
args:
|
||||
- name: topic
|
||||
description: Research topic or keywords
|
||||
required: true
|
||||
- name: scope
|
||||
description: Review scope (focused/broad)
|
||||
required: false
|
||||
default: focused
|
||||
- name: output_type
|
||||
description: Output type (review/proposal/both). All modes produce research-question-card.md; references.bib is produced only when reliable citation metadata exists; review adds literature-review.md only when evidence is sufficient; proposal adds research-proposal.md only when the selected card passes the proposal readiness gate.
|
||||
required: false
|
||||
default: both
|
||||
tags: [Research, Literature Review, Zotero, Paper Search]
|
||||
---
|
||||
|
||||
# /research-init - Zotero-Integrated Research Startup Workflow
|
||||
|
||||
Launch a project-scoped literature startup workflow for the research topic "$topic", with scope "$scope" and output type "$output_type".
|
||||
|
||||
Default behavior is evidence-first: if Zotero is unavailable, if full-paper evidence is insufficient, or if the selected Research Question Card is not ready, produce an intake/audit result instead of forcing a polished proposal.
|
||||
|
||||
## Usage
|
||||
|
||||
### Basic Usage
|
||||
|
||||
```bash
|
||||
/research-init "transformer interpretability"
|
||||
```
|
||||
|
||||
### Specify Scope
|
||||
|
||||
```bash
|
||||
/research-init "few-shot learning" focused
|
||||
```
|
||||
|
||||
### Specify All Parameters
|
||||
|
||||
```bash
|
||||
/research-init "neural architecture search" broad both
|
||||
```
|
||||
|
||||
## Workflow
|
||||
|
||||
Execute the following steps in order:
|
||||
|
||||
### Step 0: Intake and Capability Gate
|
||||
|
||||
Before creating collections or writing files:
|
||||
|
||||
1. Confirm the practical purpose: new project intake, literature review, proposal draft, or source audit.
|
||||
2. Check whether Zotero MCP is configured and writable.
|
||||
3. If Zotero MCP is unavailable, read-only, or the user asks for dry-run mode:
|
||||
- do **not** create collections,
|
||||
- do **not** import papers,
|
||||
- produce `research-question-card.md` and a source candidate/audit section,
|
||||
- either skip `references.bib` or create a stub that clearly says canonical BibTeX is unavailable unless reliable BibTeX can be generated from existing sources,
|
||||
- stop before `literature-review.md` or `research-proposal.md` unless the user explicitly provides sufficient local evidence.
|
||||
4. If the topic, target venue/audience, or project boundary is ambiguous enough to change the search strategy, ask a short clarifying question before acting.
|
||||
|
||||
### Step 1: Create Zotero Research Collection
|
||||
|
||||
1. Call the Zotero MCP tool `zotero_create_collection` to create the main collection, named `Research-{Topic}-{YYYY-MM}` (extract a short PascalCase keyword from the topic, use the current year and month)
|
||||
2. Create sub-collections under the main collection:
|
||||
- `Core Papers`
|
||||
- `Methods`
|
||||
- `Applications`
|
||||
- `Baselines`
|
||||
- `To-Read`
|
||||
3. Record the `collection_key` for each sub-collection (needed for import in Step 2)
|
||||
|
||||
### Step 2: Literature Search and Import
|
||||
|
||||
1. Use WebSearch to find papers related to "$topic"
|
||||
- Search strategy: use the topic directly, plus variant combinations of key terms
|
||||
- Target sources: arXiv, DOI-backed publisher landing pages, conference proceedings with full-paper pages, direct PDF pages
|
||||
- Time range: focused mode searches the last 3 years, broad mode searches the last 5 years
|
||||
- Target paper count: 20-50 papers for focused scope, 50-100 for broad scope
|
||||
2. **Source quality filter before extraction**:
|
||||
- Prefer candidates that expose at least one of: DOI, arXiv ID, direct PDF URL, or clear citation metadata for a full paper
|
||||
- **Explicitly avoid abstract-only pages as primary sources** when a better source exists for the same paper (for example conference abstract listings, event schedule pages, teaser pages, or pages that only contain a short abstract with no DOI/arXiv/PDF)
|
||||
- For the same title, source preference should be:
|
||||
1. DOI-backed publisher page
|
||||
2. arXiv abs/pdf page
|
||||
3. direct PDF URL
|
||||
4. full-paper proceedings landing page
|
||||
5. abstract-only page (last resort only)
|
||||
- If the discovered page is clearly abstract-only and no DOI/arXiv/PDF can be extracted, do **not** prioritize it for import; keep searching for a better source first
|
||||
- Abstract-only pages should **not** be counted toward the target paper quota unless all better identifier-bearing/full-paper sources for that title have been exhausted
|
||||
3. Extract candidate DOI / arXiv ID / landing-page URL from filtered search results
|
||||
4. **Classify before import**: For each paper, determine which sub-collection it belongs to (Core Papers, Methods, Applications, Baselines, or To-Read) based on its title, abstract, and venue
|
||||
5. **Pre-import deduplication (two-step)**:
|
||||
- Call the Zotero MCP tool `zotero_search_items` with the DOI string when available to find potential matches
|
||||
- Call `zotero_get_item_metadata` on results to confirm the DOI field matches exactly
|
||||
- If confirmed match → skip import, log ("Already exists: {DOI} → {item_key}")
|
||||
- For papers without DOI → search by title using token overlap ratio (lowercase both titles, remove punctuation, compute intersection of words / union of words). Ratio > 0.8 = duplicate
|
||||
6. **Abstract-only page guardrail (mandatory)**:
|
||||
- Before calling `zotero_add_items_by_identifier`, check whether the chosen URL is likely an abstract-only page
|
||||
- Strong signals include: URL/path contains `abstract`, page title/heading is an abstract listing, page body lacks PDF/full-text links, and no DOI/arXiv identifier is visible
|
||||
- If it is abstract-only **and** no DOI/arXiv/PDF can be recovered, prefer one of:
|
||||
- keep searching for a better source for the same title, or
|
||||
- skip this candidate for now
|
||||
- Do **not** eagerly import abstract-only pages into analytical sub-collections just to satisfy paper count
|
||||
- If an abstract-only page is imported as a last-resort placeholder, it must be treated as `To-Read` only, never as a confirmed paper source for `Core Papers`, `Methods`, `Applications`, or `Baselines`
|
||||
- When you skip such a candidate during Step 2, print this exact user-facing line in the terminal output:
|
||||
- `Skipped abstract-only page; searching better source`
|
||||
7. **Smart import with collection assignment**: Call `zotero_add_items_by_identifier` with the target sub-collection's `collection_key`, `attach_pdf=true`, and `fallback_mode="webpage"`
|
||||
- Route priority is fixed: DOI / doi.org URL → arXiv ID or arXiv URL → direct PDF URL → generic landing-page URL
|
||||
- The tool will prefer proper paper/preprint items and only fall back to `webpage` when no reliable DOI/arXiv identifier is found
|
||||
- For difficult publisher pages and cookie-gated PDFs, the import path may additionally use the local Zotero connector/browser session and optional Playwright-assisted PDF rescue before falling back to `webpage`
|
||||
- The server records internal import events automatically for debugging, but that internal ledger is not part of the default public MCP tool surface and should not be part of the normal workflow
|
||||
8. **Collection guardrail**: Only keep `paper` imports in `Core Papers`, `Methods`, `Applications`, or `Baselines`
|
||||
- If the import result says `Saved as webpage`, move or create that entry only in `To-Read`
|
||||
9. **PDF follow-up**: `zotero_add_items_by_identifier(..., attach_pdf=true)` already runs the PDF cascade by default. If the import result says `PDF not attached`, optionally call `zotero_find_and_attach_pdfs({ item_keys: [...] })` for a second pass. If it still fails, log it and continue.
|
||||
10. **Automatic postpass dedupe/reconcile (mandatory)**: after the import batch, call `zotero_reconcile_collection_duplicates` on the main research collection with:
|
||||
- `collection_key = {main research collection key}`
|
||||
- `include_subcollections = true`
|
||||
- `dry_run = false`
|
||||
- `reconcile_local_only = true`
|
||||
- `local_db_fallback = false`
|
||||
- Goal: automatically clean duplicate parent items across the whole research collection tree, keep the canonical item with PDF when available, merge collection memberships, and remove stale duplicates when the standard APIs can handle them
|
||||
- **Precondition**: destructive dedupe with `dry_run=false` requires Zotero MCP write/delete permission, which means `UNSAFE_OPERATIONS=items` must already be enabled
|
||||
- **Default safety mode**: do **not** enable `local_db_fallback=true` automatically inside `/research-init`; only mention it in debug/recovery mode if residual duplicates remain after the standard pass
|
||||
11. **Step-2 terminal summary (mandatory)**: after import + postpass dedupe, print a user-facing compact summary table:
|
||||
|
||||
```
|
||||
| Input | Zotero Key | Collection | Status |
|
||||
|-------|------------|------------|--------|
|
||||
| ... | ABC123 | Core Papers | Imported as paper + PDF attached |
|
||||
```
|
||||
|
||||
- `Status` should use only user-facing phrases:
|
||||
- `Imported as paper + PDF attached`
|
||||
- `Imported as paper`
|
||||
- `Saved as webpage + PDF attached`
|
||||
- `Saved as webpage`
|
||||
- `Import failed`
|
||||
- If a candidate was rejected before import because it is abstract-only and no DOI/arXiv/PDF could be recovered, print this standalone line before the table entry list continues:
|
||||
- `Skipped abstract-only page; searching better source`
|
||||
- After the table, print one compact dedupe line:
|
||||
- `Collection dedupe summary: duplicate groups 0, duplicates trashed 0`
|
||||
- or `Collection dedupe summary: duplicate groups N, duplicates trashed M`
|
||||
- Then print one compact missing-PDF repair line:
|
||||
- `Missing PDF postpass: repaired 0 items`
|
||||
- or `Missing PDF postpass: repaired N items`
|
||||
- Read these counts from the `zotero_reconcile_collection_duplicates` summary; do not invent them
|
||||
- Do **not** print `route=...`, `pdf_source=...`, `fallback_reason=...`, `local_item_key=...`, or reconcile internals in the default terminal output
|
||||
- Do **not** dump the raw dedupe markdown table in normal mode; read the tool result, extract the counts, and summarize it in one user-facing line
|
||||
- If you need implementation details for debugging, explicitly say you are switching to debug mode and rerun with `ZOTERO_MCP_DEBUG_IMPORT=1`
|
||||
|
||||
**Note**: Zotero items can still be added to or removed from collections later, but `/research-init` should prefer correct `collection_key` assignment during import so analytical sub-collections stay clean. The default command path should now rely on `zotero_reconcile_collection_duplicates` as the standard postpass cleanup, not the older item-by-item local reconcile helper.
|
||||
When in doubt between a full-paper source and an abstract-only page for the same title, always prefer the full-paper source, even if the abstract-only page ranks higher in search results. Use canonical Zotero MCP tool names consistently in this workflow: `zotero_create_collection`, `zotero_search_items`, `zotero_get_item_metadata`, `zotero_add_items_by_identifier`, `zotero_find_and_attach_pdfs`, and `zotero_reconcile_collection_duplicates`.
|
||||
|
||||
### Step 3: Paper Analysis
|
||||
|
||||
1. Call `zotero_get_collection_items` to list imported papers
|
||||
2. Call `zotero_get_item_metadata` with `include_abstract: true` to get metadata and abstracts (ensures abstracts are available as fallback if full-text retrieval fails)
|
||||
3. Call `zotero_get_item_fulltext` to read full text of papers with PDFs
|
||||
3. For each paper, extract:
|
||||
- Research question and motivation
|
||||
- Core methodology
|
||||
- Key findings and contributions
|
||||
- Limitations and future work
|
||||
4. Use these structured notes as intermediate analysis to inform the final `literature-review.md` (they are not a separate output file)
|
||||
|
||||
### Step 4: Gap Analysis and Synthesis
|
||||
|
||||
1. Analyze all collected papers for:
|
||||
- Research trends and directions
|
||||
- Methodological gaps
|
||||
- Unexplored application domains
|
||||
- Contradictions in research findings
|
||||
2. Identify 2-3 concrete research gaps
|
||||
3. Formulate 2-3 potential research questions as Research Question Cards:
|
||||
|
||||
```md
|
||||
## Research Question Card
|
||||
|
||||
Question:
|
||||
Type: exploratory | confirmatory | applied
|
||||
Hypothesis:
|
||||
Why it matters:
|
||||
Current evidence:
|
||||
Missing evidence:
|
||||
What would support it:
|
||||
What would falsify it:
|
||||
Minimal next action:
|
||||
Decision: explore | read more | run experiment | stop
|
||||
```
|
||||
|
||||
4. Apply the **Proposal Readiness Gate** from `skills/research-ideation/references/research-contract.md`:
|
||||
- at least one full-paper/preprint/dataset/experiment-artifact Evidence Record supports the selected direction,
|
||||
- weak sources such as webpage placeholders or abstract-only notes are labeled as weak support,
|
||||
- current evidence, missing evidence, support criteria, falsification criteria, and minimal next action are explicit.
|
||||
5. Select one card as the default direction for `research-proposal.md` only if it passes this gate. If none is ready for a proposal, state that the next action is `read more` or `explore` instead of forcing a proposal narrative.
|
||||
|
||||
### Step 5: Generate Outputs
|
||||
|
||||
Generate corresponding files based on output_type "$output_type":
|
||||
|
||||
Output matrix:
|
||||
|
||||
| output_type | Always generated | Additional generated files |
|
||||
|---|---|---|
|
||||
| `review` | `research-question-card.md` | `references.bib` when reliable citation metadata exists; `literature-review.md` when evidence is sufficient |
|
||||
| `proposal` | `research-question-card.md` | `references.bib` when reliable citation metadata exists; `research-proposal.md` if a selected card passes the gate |
|
||||
| `both` | `research-question-card.md` | `references.bib` when reliable citation metadata exists; `literature-review.md` when evidence is sufficient; `research-proposal.md` if a selected card passes the gate |
|
||||
|
||||
File contracts:
|
||||
|
||||
1. **research-question-card.md** - 2-3 candidate Research Question Cards plus the selected default card and minimal next action
|
||||
2. **literature-review.md** - Structured literature review with real citations from Zotero (generated for `review` and `both` only when the evidence base is sufficient)
|
||||
3. **research-proposal.md** - Research proposal derived from the selected Research Question Card (generated for `proposal` and `both` only when the selected card passes the Proposal Readiness Gate)
|
||||
4. **references.bib** - BibTeX references from Zotero data, generated only when reliable citation metadata exists
|
||||
- **Primary method**: Use Zotero REST API with `?format=bibtex` to export accurate, complete BibTeX entries
|
||||
```
|
||||
GET https://api.zotero.org/users/{user_id}/collections/{collection_key}/items?format=bibtex
|
||||
```
|
||||
**Note**: The REST API `?format=bibtex` on a collection only exports items directly in that collection, not items in sub-collections. You must iterate each sub-collection key individually, or collect all item keys and use the items endpoint: `GET https://api.zotero.org/users/{user_id}/items?itemKey=KEY1,KEY2,...&format=bibtex`
|
||||
- **Fallback**: Construct BibTeX manually from `zotero_get_item_metadata` metadata (note: volume, issue, pages, and publisher fields are not available via this tool — entries will be incomplete)
|
||||
|
||||
Use TodoWrite to track progress throughout the workflow.
|
||||
|
||||
At the end, summarize:
|
||||
- selected question,
|
||||
- current evidence,
|
||||
- missing evidence,
|
||||
- minimal next action,
|
||||
- whether the next decision is `explore`, `read more`, `run experiment`, or `stop`.
|
||||
|
||||
## Error Handling
|
||||
|
||||
If the default Zotero MCP path fails during execution, use these workflow fallbacks:
|
||||
|
||||
1. **Zotero MCP unavailable or read-only** → Switch to dry-run/intake mode; do not create collections, import papers, or pretend references were saved.
|
||||
2. **`zotero_create_collection` fails** → If REST credentials are configured and the user intended write mode, create via Zotero REST API directly; otherwise switch to dry-run/intake mode.
|
||||
3. **`zotero_add_items_by_identifier` fails** → Retry with a narrower identifier (explicit DOI or arXiv ID). If the source is a publisher landing page or direct PDF, allow the smart importer to use connector/browser-session rescue and optional Playwright-assisted PDF rescue first. If smart import still fails, use an out-of-band fallback such as CrossRef metadata lookup (`https://api.crossref.org/works/{DOI}`) and retry the DOI-specific path or save the page as a manual `webpage`.
|
||||
4. **`zotero_get_item_fulltext` fails** → Use `WebFetch` on the paper's DOI URL to scrape abstract → fall back to `abstractNote` from `zotero_get_item_metadata` + domain knowledge
|
||||
5. **`zotero_find_and_attach_pdfs` fails** → Log and continue; PDFs are not required for analysis. If a needed paper still lacks a PDF, ask the user to attach it manually in Zotero Desktop and rerun analysis later.
|
||||
6. **`zotero_reconcile_collection_duplicates` fails** → Keep the import results, log that postpass dedupe failed, and continue with analysis. In debug mode, inspect the tool's summary and consider rerunning with `local_db_fallback=true` only if local-only duplicates remain and the user explicitly wants aggressive cleanup.
|
||||
7. **Single paper fails** → Log error, skip, and continue to next paper
|
||||
8. **API rate limit** → Wait 5 seconds and retry, up to 3 attempts
|
||||
|
||||
## Completion Checklist
|
||||
|
||||
Before finishing, verify:
|
||||
|
||||
- [ ] Zotero write mode or dry-run/intake mode explicitly stated
|
||||
- [ ] In write mode, Zotero collection `Research-{Topic}-{YYYY-MM}` created with sub-collections
|
||||
- [ ] In write mode, papers imported and organized into sub-collections (target: 20-50 focused / 50-100 broad)
|
||||
- [ ] In write mode, PDFs attached for available open-access papers
|
||||
- [ ] Full-text analysis completed for core papers when available; otherwise source limitations are explicit
|
||||
- [ ] Gap analysis identifies at least 2-3 concrete research gaps
|
||||
- [ ] Research Question Cards generated with support criteria, falsification criteria, and minimal next action
|
||||
- [ ] Proposal Readiness Gate applied before generating `research-proposal.md`
|
||||
- [ ] Output files generated according to the output matrix for `review`, `proposal`, or `both`
|
||||
- [ ] All citations in review correspond to actual Zotero library entries
|
||||
|
||||
## Possible Output Files
|
||||
|
||||
The command may generate the following files according to the output matrix and evidence gates:
|
||||
|
||||
```
|
||||
{project_dir}/
|
||||
├── research-question-card.md # Candidate questions, hypotheses, evidence needs, and selected next action
|
||||
├── literature-review.md # Structured literature review when evidence is sufficient
|
||||
├── research-proposal.md # Research proposal (if requested and evidence gate passes)
|
||||
└── references.bib # BibTeX references when reliable citation metadata exists
|
||||
```
|
||||
|
||||
## Integration Notes
|
||||
|
||||
This command will:
|
||||
1. Use **Zotero MCP** tools to manage literature collections and metadata
|
||||
2. Trigger the **literature-reviewer agent** for literature analysis
|
||||
3. Use the **research-ideation skill** methodology (5W1H, Gap Analysis)
|
||||
4. Search for latest papers via **WebSearch**
|
||||
|
||||
## Notes
|
||||
|
||||
- Ensure the Zotero MCP service is properly configured and running
|
||||
- DOI import depends on network connectivity and Zotero's metadata resolution capability
|
||||
- PDF attachment is limited to open-access papers; paywalled papers must be added manually
|
||||
- Generated literature reviews and research proposals require manual review and refinement
|
||||
|
||||
## Related Resources
|
||||
|
||||
- **Skill**: `research-ideation` - Research ideation methodology
|
||||
- **Agent**: `literature-reviewer` - Literature search and analysis
|
||||
- **Commands**: `/zotero-review` - Analyze existing Zotero collections, `/zotero-notes` - Batch generate reading notes
|
||||
22
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/README.md
Normal file
22
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/README.md
Normal file
@@ -0,0 +1,22 @@
|
||||
# SuperClaude Commands
|
||||
|
||||
This directory contains slash commands that are installed to `~/.claude/commands/sc/` when users run `superclaude install`.
|
||||
|
||||
## Available Commands
|
||||
|
||||
- **agent.md** - Specialized AI agents
|
||||
- **index-repo.md** - Repository indexing for context optimization
|
||||
- **recommend.md** - Command recommendations
|
||||
- **research.md** - Deep web research with parallel search
|
||||
- **sc.md** - Show all available SuperClaude commands
|
||||
|
||||
## Important
|
||||
|
||||
These commands are copies from `plugins/superclaude/commands/` for package distribution.
|
||||
|
||||
When updating commands:
|
||||
1. Edit files in `plugins/superclaude/commands/`
|
||||
2. Copy changes to `src/superclaude/commands/`
|
||||
3. Both locations must stay in sync
|
||||
|
||||
In v5.0, the plugin system will use `plugins/` directly.
|
||||
71
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/agent.md
Normal file
71
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/agent.md
Normal file
@@ -0,0 +1,71 @@
|
||||
name: sc:agent
|
||||
description: SC Agent — session controller that orchestrates investigation, implementation, and review
|
||||
category: orchestration
|
||||
personas: []
|
||||
---
|
||||
|
||||
# SC Agent Activation
|
||||
|
||||
🚀 **SC Agent online** — this plugin launches `/sc:agent` automatically at session start.
|
||||
|
||||
## Startup Checklist (keep output terse)
|
||||
1. `git status --porcelain` → announce `📊 Git: clean|X files|not a repo`.
|
||||
2. Remind the user: `💡 Use /context to confirm token budget.`
|
||||
3. Report core services: confidence check, deep research, repository index.
|
||||
|
||||
Stop here until the user describes the task. Stay silent otherwise.
|
||||
|
||||
---
|
||||
|
||||
## Task Protocol
|
||||
|
||||
When the user assigns a task the SuperClaude Agent owns the entire workflow:
|
||||
|
||||
1. **Clarify scope**
|
||||
- Confirm success criteria, blockers, and constraints.
|
||||
- Capture any acceptance tests that matter.
|
||||
|
||||
2. **Plan investigation**
|
||||
- Use parallel tool calls where possible.
|
||||
- Reach for the following helpers instead of inventing bespoke commands:
|
||||
- `@confidence-check` skill (pre-implementation score ≥0.90 required).
|
||||
- `@deep-research` agent (web/MCP research).
|
||||
- `@repo-index` agent (repository structure + file shortlist).
|
||||
- `@self-review` agent (post-implementation validation).
|
||||
|
||||
3. **Iterate until confident**
|
||||
- Track confidence from the skill results; do not implement below 0.90.
|
||||
- Escalate to the user if confidence stalls or new context is required.
|
||||
|
||||
4. **Implementation wave**
|
||||
- Prepare edits as a single checkpoint summary.
|
||||
- Prefer grouped apply_patch/file edits over many tiny actions.
|
||||
- Run the agreed test command(s) after edits.
|
||||
|
||||
5. **Self-review and reflexion**
|
||||
- Invoke `@self-review` to double-check outcomes.
|
||||
- Share residual risks or follow-up tasks.
|
||||
|
||||
Deliver concise updates at the end of each major phase. Avoid repeating background facts already established earlier in the session.
|
||||
|
||||
---
|
||||
|
||||
## Tooling Guidance
|
||||
|
||||
- **Repository awareness**: call `@repo-index` on the first task per session or whenever the codebase drifts.
|
||||
- **Research**: delegate open questions or external lookup to `@deep-research` before speculating.
|
||||
- **Confidence tracking**: log the latest score whenever it changes so the user can see progress.
|
||||
|
||||
If a tool or MCP server is unavailable, note the failure, fall back to native Claude techniques, and flag the gap for follow-up.
|
||||
|
||||
---
|
||||
|
||||
## Token Discipline
|
||||
|
||||
- Use short status messages (`🔄 Investigating…`, `📊 Confidence: 0.82`).
|
||||
- Collapse redundant summaries; prefer links to prior answers.
|
||||
- Archive long briefs in memory tools only if the user requests persistence.
|
||||
|
||||
---
|
||||
|
||||
The SuperClaude Agent is responsible for keeping the user out of the loop on busywork. Accept tasks, orchestrate helpers, and return with validated results.
|
||||
98
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/analyze.md
Normal file
98
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/analyze.md
Normal file
@@ -0,0 +1,98 @@
|
||||
---
|
||||
name: analyze
|
||||
description: "Comprehensive code analysis across quality, security, performance, and architecture domains"
|
||||
category: utility
|
||||
complexity: basic
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:analyze - Code Analysis and Quality Assessment
|
||||
|
||||
## Triggers
|
||||
- Code quality assessment requests for projects or specific components
|
||||
- Security vulnerability scanning and compliance validation needs
|
||||
- Performance bottleneck identification and optimization planning
|
||||
- Architecture review and technical debt assessment requirements
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:analyze [target] [--focus quality|security|performance|architecture] [--depth quick|deep] [--format text|json|report]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Discover**: Categorize source files using language detection and project analysis
|
||||
2. **Scan**: Apply domain-specific analysis techniques and pattern matching
|
||||
3. **Evaluate**: Generate prioritized findings with severity ratings and impact assessment
|
||||
4. **Recommend**: Create actionable recommendations with implementation guidance
|
||||
5. **Report**: Present comprehensive analysis with metrics and improvement roadmap
|
||||
|
||||
Key behaviors:
|
||||
- Multi-domain analysis combining static analysis and heuristic evaluation
|
||||
- Intelligent file discovery and language-specific pattern recognition
|
||||
- Severity-based prioritization of findings and recommendations
|
||||
- Comprehensive reporting with metrics, trends, and actionable insights
|
||||
|
||||
## Tool Coordination
|
||||
- **Glob**: File discovery and project structure analysis
|
||||
- **Grep**: Pattern analysis and code search operations
|
||||
- **Read**: Source code inspection and configuration analysis
|
||||
- **Bash**: External analysis tool execution and validation
|
||||
- **Write**: Report generation and metrics documentation
|
||||
|
||||
## Key Patterns
|
||||
- **Domain Analysis**: Quality/Security/Performance/Architecture → specialized assessment
|
||||
- **Pattern Recognition**: Language detection → appropriate analysis techniques
|
||||
- **Severity Assessment**: Issue classification → prioritized recommendations
|
||||
- **Report Generation**: Analysis results → structured documentation
|
||||
|
||||
## Examples
|
||||
|
||||
### Comprehensive Project Analysis
|
||||
```
|
||||
/sc:analyze
|
||||
# Multi-domain analysis of entire project
|
||||
# Generates comprehensive report with key findings and roadmap
|
||||
```
|
||||
|
||||
### Focused Security Assessment
|
||||
```
|
||||
/sc:analyze src/auth --focus security --depth deep
|
||||
# Deep security analysis of authentication components
|
||||
# Vulnerability assessment with detailed remediation guidance
|
||||
```
|
||||
|
||||
### Performance Optimization Analysis
|
||||
```
|
||||
/sc:analyze --focus performance --format report
|
||||
# Performance bottleneck identification
|
||||
# Generates HTML report with optimization recommendations
|
||||
```
|
||||
|
||||
### Quick Quality Check
|
||||
```
|
||||
/sc:analyze src/components --focus quality --depth quick
|
||||
# Rapid quality assessment of component directory
|
||||
# Identifies code smells and maintainability issues
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Perform comprehensive static code analysis across multiple domains
|
||||
- Generate severity-rated findings with actionable recommendations
|
||||
- Provide detailed reports with metrics and improvement guidance
|
||||
|
||||
**Will Not:**
|
||||
- Execute dynamic analysis requiring code compilation or runtime
|
||||
- Modify source code or apply fixes without explicit user consent
|
||||
- Analyze external dependencies beyond import and usage patterns
|
||||
|
||||
**Output**: Analysis report containing:
|
||||
- Severity-rated findings
|
||||
- Code quality metrics
|
||||
- Security vulnerabilities
|
||||
- Performance issues
|
||||
- Recommendations
|
||||
|
||||
**Next Step**: After review, use `/sc:improve` to apply recommended fixes or `/sc:cleanup` for dead code removal.
|
||||
122
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/brainstorm.md
Normal file
122
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/brainstorm.md
Normal file
@@ -0,0 +1,122 @@
|
||||
---
|
||||
name: brainstorm
|
||||
description: "Interactive requirements discovery through Socratic dialogue and systematic exploration"
|
||||
category: orchestration
|
||||
complexity: advanced
|
||||
mcp-servers: [sequential, context7, magic, playwright, morphllm, serena]
|
||||
personas: [architect, analyzer, frontend, backend, security, devops, project-manager]
|
||||
---
|
||||
|
||||
# /sc:brainstorm - Interactive Requirements Discovery
|
||||
|
||||
> **Context Framework Note**: This file provides behavioral instructions for Claude Code when users type `/sc:brainstorm` patterns. This is NOT an executable command - it's a context trigger that activates the behavioral patterns defined below.
|
||||
|
||||
## Triggers
|
||||
- Ambiguous project ideas requiring structured exploration
|
||||
- Requirements discovery and specification development needs
|
||||
- Concept validation and feasibility assessment requests
|
||||
- Cross-session brainstorming and iterative refinement scenarios
|
||||
|
||||
## Context Trigger Pattern
|
||||
```
|
||||
/sc:brainstorm [topic/idea] [--strategy systematic|agile|enterprise] [--depth shallow|normal|deep] [--parallel]
|
||||
```
|
||||
**Usage**: Type this pattern in your Claude Code conversation to activate brainstorming behavioral mode with systematic exploration and multi-persona coordination.
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Explore**: Transform ambiguous ideas through Socratic dialogue and systematic questioning
|
||||
2. **Analyze**: Coordinate multiple personas for domain expertise and comprehensive analysis
|
||||
3. **Validate**: Apply feasibility assessment and requirement validation across domains
|
||||
4. **Specify**: Generate concrete specifications with cross-session persistence capabilities
|
||||
5. **Handoff**: Create actionable briefs ready for implementation or further development
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona orchestration across architecture, analysis, frontend, backend, security domains
|
||||
- Advanced MCP coordination with intelligent routing for specialized analysis
|
||||
- Systematic execution with progressive dialogue enhancement and parallel exploration
|
||||
- Cross-session persistence with comprehensive requirements discovery documentation
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Complex multi-step reasoning for systematic exploration and validation
|
||||
- **Context7 MCP**: Framework-specific feasibility assessment and pattern analysis
|
||||
- **Magic MCP**: UI/UX feasibility and design system integration analysis
|
||||
- **Playwright MCP**: User experience validation and interaction pattern testing
|
||||
- **Morphllm MCP**: Large-scale content analysis and pattern-based transformation
|
||||
- **Serena MCP**: Cross-session persistence, memory management, and project context enhancement
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Write/Edit**: Requirements documentation and specification generation
|
||||
- **TodoWrite**: Progress tracking for complex multi-phase exploration
|
||||
- **Task**: Advanced delegation for parallel exploration paths and multi-agent coordination
|
||||
- **WebSearch**: Market research, competitive analysis, and technology validation
|
||||
- **sequentialthinking**: Structured reasoning for complex requirements analysis
|
||||
|
||||
## Key Patterns
|
||||
- **Socratic Dialogue**: Question-driven exploration → systematic requirements discovery
|
||||
- **Multi-Domain Analysis**: Cross-functional expertise → comprehensive feasibility assessment
|
||||
- **Progressive Coordination**: Systematic exploration → iterative refinement and validation
|
||||
- **Specification Generation**: Concrete requirements → actionable implementation briefs
|
||||
|
||||
## Examples
|
||||
|
||||
### Systematic Product Discovery
|
||||
```
|
||||
/sc:brainstorm "AI-powered project management tool" --strategy systematic --depth deep
|
||||
# Multi-persona analysis: architect (system design), analyzer (feasibility), project-manager (requirements)
|
||||
# Sequential MCP provides structured exploration framework
|
||||
```
|
||||
|
||||
### Agile Feature Exploration
|
||||
```
|
||||
/sc:brainstorm "real-time collaboration features" --strategy agile --parallel
|
||||
# Parallel exploration paths with frontend, backend, and security personas
|
||||
# Context7 and Magic MCP for framework and UI pattern analysis
|
||||
```
|
||||
|
||||
### Enterprise Solution Validation
|
||||
```
|
||||
/sc:brainstorm "enterprise data analytics platform" --strategy enterprise --validate
|
||||
# Comprehensive validation with security, devops, and architect personas
|
||||
# Serena MCP for cross-session persistence and enterprise requirements tracking
|
||||
```
|
||||
|
||||
### Cross-Session Refinement
|
||||
```
|
||||
/sc:brainstorm "mobile app monetization strategy" --depth normal
|
||||
# Serena MCP manages cross-session context and iterative refinement
|
||||
# Progressive dialogue enhancement with memory-driven insights
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Transform ambiguous ideas into concrete specifications through systematic exploration
|
||||
- Coordinate multiple personas and MCP servers for comprehensive analysis
|
||||
- Provide cross-session persistence and progressive dialogue enhancement
|
||||
|
||||
**Will Not:**
|
||||
- Make implementation decisions without proper requirements discovery
|
||||
- Override user vision with prescriptive solutions during exploration phase
|
||||
- Bypass systematic exploration for complex multi-domain projects
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**STOP AFTER REQUIREMENTS DISCOVERY**
|
||||
|
||||
This command produces a REQUIREMENTS SPECIFICATION ONLY.
|
||||
|
||||
**Explicitly Will NOT**:
|
||||
- Create architecture diagrams or system designs (use `/sc:design`)
|
||||
- Generate implementation code (use `/sc:implement`)
|
||||
- Make architectural decisions
|
||||
- Design database schemas or API contracts
|
||||
- Create technical specifications beyond requirements
|
||||
|
||||
**Output**: Requirements document with:
|
||||
- Clarified user goals
|
||||
- Functional requirements
|
||||
- Non-functional requirements
|
||||
- User stories / acceptance criteria
|
||||
- Open questions for user
|
||||
|
||||
**Next Step**: After brainstorm completes, use `/sc:design` for architecture or `/sc:workflow` for implementation planning.
|
||||
94
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/build.md
Normal file
94
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/build.md
Normal file
@@ -0,0 +1,94 @@
|
||||
---
|
||||
name: build
|
||||
description: "Build, compile, and package projects with intelligent error handling and optimization"
|
||||
category: utility
|
||||
complexity: enhanced
|
||||
mcp-servers: [playwright]
|
||||
personas: [devops-engineer]
|
||||
---
|
||||
|
||||
# /sc:build - Project Building and Packaging
|
||||
|
||||
## Triggers
|
||||
- Project compilation and packaging requests for different environments
|
||||
- Build optimization and artifact generation needs
|
||||
- Error debugging during build processes
|
||||
- Deployment preparation and artifact packaging requirements
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:build [target] [--type dev|prod|test] [--clean] [--optimize] [--verbose]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Project structure, build configurations, and dependency manifests
|
||||
2. **Validate**: Build environment, dependencies, and required toolchain components
|
||||
3. **Execute**: Build process with real-time monitoring and error detection
|
||||
4. **Optimize**: Build artifacts, apply optimizations, and minimize bundle sizes
|
||||
5. **Package**: Generate deployment artifacts and comprehensive build reports
|
||||
|
||||
Key behaviors:
|
||||
- Configuration-driven build orchestration with dependency validation
|
||||
- Intelligent error analysis with actionable resolution guidance
|
||||
- Environment-specific optimization (dev/prod/test configurations)
|
||||
- Comprehensive build reporting with timing metrics and artifact analysis
|
||||
|
||||
## MCP Integration
|
||||
- **Playwright MCP**: Auto-activated for build validation and UI testing during builds
|
||||
- **DevOps Engineer Persona**: Activated for build optimization and deployment preparation
|
||||
- **Enhanced Capabilities**: Build pipeline integration, performance monitoring, artifact validation
|
||||
|
||||
## Tool Coordination
|
||||
- **Bash**: Build system execution and process management
|
||||
- **Read**: Configuration analysis and manifest inspection
|
||||
- **Grep**: Error parsing and build log analysis
|
||||
- **Glob**: Artifact discovery and validation
|
||||
- **Write**: Build reports and deployment documentation
|
||||
|
||||
## Key Patterns
|
||||
- **Environment Builds**: dev/prod/test → appropriate configuration and optimization
|
||||
- **Error Analysis**: Build failures → diagnostic analysis and resolution guidance
|
||||
- **Optimization**: Artifact analysis → size reduction and performance improvements
|
||||
- **Validation**: Build verification → quality gates and deployment readiness
|
||||
|
||||
## Examples
|
||||
|
||||
### Standard Project Build
|
||||
```
|
||||
/sc:build
|
||||
# Builds entire project using default configuration
|
||||
# Generates artifacts and comprehensive build report
|
||||
```
|
||||
|
||||
### Production Optimization Build
|
||||
```
|
||||
/sc:build --type prod --clean --optimize
|
||||
# Clean production build with advanced optimizations
|
||||
# Minification, tree-shaking, and deployment preparation
|
||||
```
|
||||
|
||||
### Targeted Component Build
|
||||
```
|
||||
/sc:build frontend --verbose
|
||||
# Builds specific project component with detailed output
|
||||
# Real-time progress monitoring and diagnostic information
|
||||
```
|
||||
|
||||
### Development Build with Validation
|
||||
```
|
||||
/sc:build --type dev --validate
|
||||
# Development build with Playwright validation
|
||||
# UI testing and build verification integration
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Execute project build systems using existing configurations
|
||||
- Provide comprehensive error analysis and optimization recommendations
|
||||
- Generate deployment-ready artifacts with detailed reporting
|
||||
|
||||
**Will Not:**
|
||||
- Modify build system configuration or create new build scripts
|
||||
- Install missing build dependencies or development tools
|
||||
- Execute deployment operations beyond artifact preparation
|
||||
@@ -0,0 +1,113 @@
|
||||
# /sc:business-panel - Business Panel Analysis System
|
||||
|
||||
```yaml
|
||||
---
|
||||
command: "/sc:business-panel"
|
||||
category: "Analysis & Strategic Planning"
|
||||
purpose: "Multi-expert business analysis with adaptive interaction modes"
|
||||
wave-enabled: true
|
||||
performance-profile: "complex"
|
||||
---
|
||||
```
|
||||
|
||||
## Overview
|
||||
|
||||
AI facilitated panel discussion between renowned business thought leaders analyzing documents through their distinct frameworks and methodologies.
|
||||
|
||||
## Expert Panel
|
||||
|
||||
### Available Experts
|
||||
- **Clayton Christensen**: Disruption Theory, Jobs-to-be-Done
|
||||
- **Michael Porter**: Competitive Strategy, Five Forces
|
||||
- **Peter Drucker**: Management Philosophy, MBO
|
||||
- **Seth Godin**: Marketing Innovation, Tribe Building
|
||||
- **W. Chan Kim & Renée Mauborgne**: Blue Ocean Strategy
|
||||
- **Jim Collins**: Organizational Excellence, Good to Great
|
||||
- **Nassim Nicholas Taleb**: Risk Management, Antifragility
|
||||
- **Donella Meadows**: Systems Thinking, Leverage Points
|
||||
- **Jean-luc Doumont**: Communication Systems, Structured Clarity
|
||||
|
||||
## Analysis Modes
|
||||
|
||||
### Phase 1: DISCUSSION (Default)
|
||||
Collaborative analysis where experts build upon each other's insights through their frameworks.
|
||||
|
||||
### Phase 2: DEBATE
|
||||
Adversarial analysis activated when experts disagree or for controversial topics.
|
||||
|
||||
### Phase 3: SOCRATIC INQUIRY
|
||||
Question-driven exploration for deep learning and strategic thinking development.
|
||||
|
||||
## Usage
|
||||
|
||||
### Basic Usage
|
||||
```bash
|
||||
/sc:business-panel [document_path_or_content]
|
||||
```
|
||||
|
||||
### Advanced Options
|
||||
```bash
|
||||
/sc:business-panel [content] --experts "porter,christensen,meadows"
|
||||
/sc:business-panel [content] --mode debate
|
||||
/sc:business-panel [content] --focus "competitive-analysis"
|
||||
/sc:business-panel [content] --synthesis-only
|
||||
```
|
||||
|
||||
### Mode Commands
|
||||
- `--mode discussion` - Collaborative analysis (default)
|
||||
- `--mode debate` - Challenge and stress-test ideas
|
||||
- `--mode socratic` - Question-driven exploration
|
||||
- `--mode adaptive` - System selects based on content
|
||||
|
||||
### Expert Selection
|
||||
- `--experts "name1,name2,name3"` - Select specific experts
|
||||
- `--focus domain` - Auto-select experts for domain
|
||||
- `--all-experts` - Include all 9 experts
|
||||
|
||||
### Output Options
|
||||
- `--synthesis-only` - Skip detailed analysis, show synthesis
|
||||
- `--structured` - Use symbol system for efficiency
|
||||
- `--verbose` - Full detailed analysis
|
||||
- `--questions` - Focus on strategic questions
|
||||
|
||||
## Auto-Persona Activation
|
||||
- **Auto-Activates**: Analyzer, Architect, Mentor personas
|
||||
- **MCP Integration**: Sequential (primary), Context7 (business patterns)
|
||||
- **Tool Orchestration**: Read, Grep, Write, MultiEdit, TodoWrite
|
||||
|
||||
## Integration Notes
|
||||
- Compatible with all thinking flags (--think, --think-hard, --ultrathink)
|
||||
- Supports wave orchestration for comprehensive business analysis
|
||||
- Integrates with scribe persona for professional business communication
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**SYNTHESIS OUTPUT ONLY - NOT IMPLEMENTATION**
|
||||
|
||||
This command produces EXPERT ANALYSIS and RECOMMENDATIONS only.
|
||||
|
||||
**Default behavior**:
|
||||
- Assemble expert panel
|
||||
- Conduct analysis/discussion
|
||||
- **STOP with synthesis document** - do not implement recommendations
|
||||
|
||||
**Completion Criteria**:
|
||||
- All relevant experts have contributed
|
||||
- Consensus or disagreements documented
|
||||
- Actionable recommendations provided
|
||||
|
||||
**Explicitly Will NOT**:
|
||||
- Implement any business recommendations
|
||||
- Make code or architectural changes
|
||||
- Execute decisions without user approval
|
||||
|
||||
**Output**: Business analysis document containing:
|
||||
- Expert perspectives (9 simulated experts)
|
||||
- Consensus points
|
||||
- Disagreements with reasoning
|
||||
- Priority-ranked recommendations
|
||||
|
||||
**Next Step**: User reviews recommendations, then:
|
||||
- Use `/sc:design` for architectural changes
|
||||
- Use `/sc:implement` for feature development
|
||||
- Use `/sc:workflow` for planning
|
||||
112
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/cleanup.md
Normal file
112
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/cleanup.md
Normal file
@@ -0,0 +1,112 @@
|
||||
---
|
||||
name: cleanup
|
||||
description: "Systematically clean up code, remove dead code, and optimize project structure"
|
||||
category: workflow
|
||||
complexity: standard
|
||||
mcp-servers: [sequential, context7]
|
||||
personas: [architect, quality, security]
|
||||
---
|
||||
|
||||
# /sc:cleanup - Code and Project Cleanup
|
||||
|
||||
## Triggers
|
||||
- Code maintenance and technical debt reduction requests
|
||||
- Dead code removal and import optimization needs
|
||||
- Project structure improvement and organization requirements
|
||||
- Codebase hygiene and quality improvement initiatives
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:cleanup [target] [--type code|imports|files|all] [--safe|--aggressive] [--interactive]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Assess cleanup opportunities and safety considerations across target scope
|
||||
2. **Plan**: Choose cleanup approach and activate relevant personas for domain expertise
|
||||
3. **Execute**: Apply systematic cleanup with intelligent dead code detection and removal
|
||||
4. **Validate**: Ensure no functionality loss through testing and safety verification
|
||||
5. **Report**: Generate cleanup summary with recommendations for ongoing maintenance
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona coordination (architect, quality, security) based on cleanup type
|
||||
- Framework-specific cleanup patterns via Context7 MCP integration
|
||||
- Systematic analysis via Sequential MCP for complex cleanup operations
|
||||
- Safety-first approach with backup and rollback capabilities
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Auto-activated for complex multi-step cleanup analysis and planning
|
||||
- **Context7 MCP**: Framework-specific cleanup patterns and best practices
|
||||
- **Persona Coordination**: Architect (structure), Quality (debt), Security (credentials)
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Grep/Glob**: Code analysis and pattern detection for cleanup opportunities
|
||||
- **Edit/MultiEdit**: Safe code modification and structure optimization
|
||||
- **TodoWrite**: Progress tracking for complex multi-file cleanup operations
|
||||
- **Task**: Delegation for large-scale cleanup workflows requiring systematic coordination
|
||||
|
||||
## Key Patterns
|
||||
- **Dead Code Detection**: Usage analysis → safe removal with dependency validation
|
||||
- **Import Optimization**: Dependency analysis → unused import removal and organization
|
||||
- **Structure Cleanup**: Architectural analysis → file organization and modular improvements
|
||||
- **Safety Validation**: Pre/during/post checks → preserve functionality throughout cleanup
|
||||
|
||||
## Examples
|
||||
|
||||
### Safe Code Cleanup
|
||||
```
|
||||
/sc:cleanup src/ --type code --safe
|
||||
# Conservative cleanup with automatic safety validation
|
||||
# Removes dead code while preserving all functionality
|
||||
```
|
||||
|
||||
### Import Optimization
|
||||
```
|
||||
/sc:cleanup --type imports --preview
|
||||
# Analyzes and shows unused import cleanup without execution
|
||||
# Framework-aware optimization via Context7 patterns
|
||||
```
|
||||
|
||||
### Comprehensive Project Cleanup
|
||||
```
|
||||
/sc:cleanup --type all --interactive
|
||||
# Multi-domain cleanup with user guidance for complex decisions
|
||||
# Activates all personas for comprehensive analysis
|
||||
```
|
||||
|
||||
### Framework-Specific Cleanup
|
||||
```
|
||||
/sc:cleanup components/ --aggressive
|
||||
# Thorough cleanup with Context7 framework patterns
|
||||
# Sequential analysis for complex dependency management
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Systematically clean code, remove dead code, and optimize project structure
|
||||
- Provide comprehensive safety validation with backup and rollback capabilities
|
||||
- Apply intelligent cleanup algorithms with framework-specific pattern recognition
|
||||
|
||||
**Will Not:**
|
||||
- Remove code without thorough safety analysis and validation
|
||||
- Override project-specific cleanup exclusions or architectural constraints
|
||||
- Apply cleanup operations that compromise functionality or introduce bugs
|
||||
|
||||
## AUTO-FIX VS APPROVAL-REQUIRED
|
||||
|
||||
**Auto-fix (applies automatically)**:
|
||||
- Unused imports removal
|
||||
- Dead code with zero references
|
||||
- Empty blocks removal
|
||||
- Redundant type annotations
|
||||
|
||||
**Approval Required (prompts user first)**:
|
||||
- Code with indirect references
|
||||
- Exports potentially used externally
|
||||
- Test fixtures/utilities
|
||||
- Configuration values
|
||||
|
||||
**Safety Threshold**:
|
||||
- If code has ANY usage path, prompt user
|
||||
- If code affects public API, prompt user
|
||||
- If unsure, prompt user
|
||||
96
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/design.md
Normal file
96
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/design.md
Normal file
@@ -0,0 +1,96 @@
|
||||
---
|
||||
name: design
|
||||
description: "Design system architecture, APIs, and component interfaces with comprehensive specifications"
|
||||
category: utility
|
||||
complexity: basic
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:design - System and Component Design
|
||||
|
||||
## Triggers
|
||||
- Architecture planning and system design requests
|
||||
- API specification and interface design needs
|
||||
- Component design and technical specification requirements
|
||||
- Database schema and data model design requests
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:design [target] [--type architecture|api|component|database] [--format diagram|spec|code]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine target requirements and existing system context
|
||||
2. **Plan**: Define design approach and structure based on type and format
|
||||
3. **Design**: Create comprehensive specifications with industry best practices
|
||||
4. **Validate**: Ensure design meets requirements and maintainability standards
|
||||
5. **Document**: Generate clear design documentation with diagrams and specifications
|
||||
|
||||
Key behaviors:
|
||||
- Requirements-driven design approach with scalability considerations
|
||||
- Industry best practices integration for maintainable solutions
|
||||
- Multi-format output (diagrams, specifications, code) based on needs
|
||||
- Validation against existing system architecture and constraints
|
||||
|
||||
## Tool Coordination
|
||||
- **Read**: Requirements analysis and existing system examination
|
||||
- **Grep/Glob**: Pattern analysis and system structure investigation
|
||||
- **Write**: Design documentation and specification generation
|
||||
- **Bash**: External design tool integration when needed
|
||||
|
||||
## Key Patterns
|
||||
- **Architecture Design**: Requirements → system structure → scalability planning
|
||||
- **API Design**: Interface specification → RESTful/GraphQL patterns → documentation
|
||||
- **Component Design**: Functional requirements → interface design → implementation guidance
|
||||
- **Database Design**: Data requirements → schema design → relationship modeling
|
||||
|
||||
## Examples
|
||||
|
||||
### System Architecture Design
|
||||
```
|
||||
/sc:design user-management-system --type architecture --format diagram
|
||||
# Creates comprehensive system architecture with component relationships
|
||||
# Includes scalability considerations and best practices
|
||||
```
|
||||
|
||||
### API Specification Design
|
||||
```
|
||||
/sc:design payment-api --type api --format spec
|
||||
# Generates detailed API specification with endpoints and data models
|
||||
# Follows RESTful design principles and industry standards
|
||||
```
|
||||
|
||||
### Component Interface Design
|
||||
```
|
||||
/sc:design notification-service --type component --format code
|
||||
# Designs component interfaces with clear contracts and dependencies
|
||||
# Provides implementation guidance and integration patterns
|
||||
```
|
||||
|
||||
### Database Schema Design
|
||||
```
|
||||
/sc:design e-commerce-db --type database --format diagram
|
||||
# Creates database schema with entity relationships and constraints
|
||||
# Includes normalization and performance considerations
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Create comprehensive design specifications with industry best practices
|
||||
- Generate multiple format outputs (diagrams, specs, code) based on requirements
|
||||
- Validate designs against maintainability and scalability standards
|
||||
|
||||
**Will Not:**
|
||||
- Generate actual implementation code (use /sc:implement for implementation)
|
||||
- Modify existing system architecture without explicit design approval
|
||||
- Create designs that violate established architectural constraints
|
||||
|
||||
**Output**: Architecture documents containing:
|
||||
- System diagrams (component, sequence, data flow)
|
||||
- API specifications
|
||||
- Database schemas
|
||||
- Interface definitions
|
||||
|
||||
**Next Step**: After design is approved, use `/sc:implement` to build the designed components.
|
||||
88
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/document.md
Normal file
88
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/document.md
Normal file
@@ -0,0 +1,88 @@
|
||||
---
|
||||
name: document
|
||||
description: "Generate focused documentation for components, functions, APIs, and features"
|
||||
category: utility
|
||||
complexity: basic
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:document - Focused Documentation Generation
|
||||
|
||||
## Triggers
|
||||
- Documentation requests for specific components, functions, or features
|
||||
- API documentation and reference material generation needs
|
||||
- Code comment and inline documentation requirements
|
||||
- User guide and technical documentation creation requests
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:document [target] [--type inline|external|api|guide] [--style brief|detailed]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine target component structure, interfaces, and functionality
|
||||
2. **Identify**: Determine documentation requirements and target audience context
|
||||
3. **Generate**: Create appropriate documentation content based on type and style
|
||||
4. **Format**: Apply consistent structure and organizational patterns
|
||||
5. **Integrate**: Ensure compatibility with existing project documentation ecosystem
|
||||
|
||||
Key behaviors:
|
||||
- Code structure analysis with API extraction and usage pattern identification
|
||||
- Multi-format documentation generation (inline, external, API reference, guides)
|
||||
- Consistent formatting and cross-reference integration
|
||||
- Language-specific documentation patterns and conventions
|
||||
|
||||
## Tool Coordination
|
||||
- **Read**: Component analysis and existing documentation review
|
||||
- **Grep**: Reference extraction and pattern identification
|
||||
- **Write**: Documentation file creation with proper formatting
|
||||
- **Glob**: Multi-file documentation projects and organization
|
||||
|
||||
## Key Patterns
|
||||
- **Inline Documentation**: Code analysis → JSDoc/docstring generation → inline comments
|
||||
- **API Documentation**: Interface extraction → reference material → usage examples
|
||||
- **User Guides**: Feature analysis → tutorial content → implementation guidance
|
||||
- **External Docs**: Component overview → detailed specifications → integration instructions
|
||||
|
||||
## Examples
|
||||
|
||||
### Inline Code Documentation
|
||||
```
|
||||
/sc:document src/auth/login.js --type inline
|
||||
# Generates JSDoc comments with parameter and return descriptions
|
||||
# Adds comprehensive inline documentation for functions and classes
|
||||
```
|
||||
|
||||
### API Reference Generation
|
||||
```
|
||||
/sc:document src/api --type api --style detailed
|
||||
# Creates comprehensive API documentation with endpoints and schemas
|
||||
# Generates usage examples and integration guidelines
|
||||
```
|
||||
|
||||
### User Guide Creation
|
||||
```
|
||||
/sc:document payment-module --type guide --style brief
|
||||
# Creates user-focused documentation with practical examples
|
||||
# Focuses on implementation patterns and common use cases
|
||||
```
|
||||
|
||||
### Component Documentation
|
||||
```
|
||||
/sc:document components/ --type external
|
||||
# Generates external documentation files for component library
|
||||
# Includes props, usage examples, and integration patterns
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Generate focused documentation for specific components and features
|
||||
- Create multiple documentation formats based on target audience needs
|
||||
- Integrate with existing documentation ecosystems and maintain consistency
|
||||
|
||||
**Will Not:**
|
||||
- Generate documentation without proper code analysis and context understanding
|
||||
- Override existing documentation standards or project-specific conventions
|
||||
- Create documentation that exposes sensitive implementation details
|
||||
107
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/estimate.md
Normal file
107
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/estimate.md
Normal file
@@ -0,0 +1,107 @@
|
||||
---
|
||||
name: estimate
|
||||
description: "Provide development estimates for tasks, features, or projects with intelligent analysis"
|
||||
category: special
|
||||
complexity: standard
|
||||
mcp-servers: [sequential, context7]
|
||||
personas: [architect, performance, project-manager]
|
||||
---
|
||||
|
||||
# /sc:estimate - Development Estimation
|
||||
|
||||
## Triggers
|
||||
- Development planning requiring time, effort, or complexity estimates
|
||||
- Project scoping and resource allocation decisions
|
||||
- Feature breakdown needing systematic estimation methodology
|
||||
- Risk assessment and confidence interval analysis requirements
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:estimate [target] [--type time|effort|complexity] [--unit hours|days|weeks] [--breakdown]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine scope, complexity factors, dependencies, and framework patterns
|
||||
2. **Calculate**: Apply estimation methodology with historical benchmarks and complexity scoring
|
||||
3. **Validate**: Cross-reference estimates with project patterns and domain expertise
|
||||
4. **Present**: Provide detailed breakdown with confidence intervals and risk assessment
|
||||
5. **Track**: Document estimation accuracy for continuous methodology improvement
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona coordination (architect, performance, project-manager) based on estimation scope
|
||||
- Sequential MCP integration for systematic analysis and complexity assessment
|
||||
- Context7 MCP integration for framework-specific patterns and historical benchmarks
|
||||
- Intelligent breakdown analysis with confidence intervals and risk factors
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Complex multi-step estimation analysis and systematic complexity assessment
|
||||
- **Context7 MCP**: Framework-specific estimation patterns and historical benchmark data
|
||||
- **Persona Coordination**: Architect (design complexity), Performance (optimization effort), Project Manager (timeline)
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Grep/Glob**: Codebase analysis for complexity assessment and scope evaluation
|
||||
- **TodoWrite**: Estimation breakdown and progress tracking for complex estimation workflows
|
||||
- **Task**: Advanced delegation for multi-domain estimation requiring systematic coordination
|
||||
- **Bash**: Project analysis and dependency evaluation for accurate complexity scoring
|
||||
|
||||
## Key Patterns
|
||||
- **Scope Analysis**: Project requirements → complexity factors → framework patterns → risk assessment
|
||||
- **Estimation Methodology**: Time-based → Effort-based → Complexity-based → Cost-based approaches
|
||||
- **Multi-Domain Assessment**: Architecture complexity → Performance requirements → Project timeline
|
||||
- **Validation Framework**: Historical benchmarks → cross-validation → confidence intervals → accuracy tracking
|
||||
|
||||
## Examples
|
||||
|
||||
### Feature Development Estimation
|
||||
```
|
||||
/sc:estimate "user authentication system" --type time --unit days --breakdown
|
||||
# Systematic analysis: Database design (2 days) + Backend API (3 days) + Frontend UI (2 days) + Testing (1 day)
|
||||
# Total: 8 days with 85% confidence interval
|
||||
```
|
||||
|
||||
### Project Complexity Assessment
|
||||
```
|
||||
/sc:estimate "migrate monolith to microservices" --type complexity --breakdown
|
||||
# Architecture complexity analysis with risk factors and dependency mapping
|
||||
# Multi-persona coordination for comprehensive assessment
|
||||
```
|
||||
|
||||
### Performance Optimization Effort
|
||||
```
|
||||
/sc:estimate "optimize application performance" --type effort --unit hours
|
||||
# Performance persona analysis with benchmark comparisons
|
||||
# Effort breakdown by optimization category and expected impact
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Provide systematic development estimates with confidence intervals and risk assessment
|
||||
- Apply multi-persona coordination for comprehensive complexity analysis
|
||||
- Generate detailed breakdown analysis with historical benchmark comparisons
|
||||
|
||||
**Will Not:**
|
||||
- Guarantee estimate accuracy without proper scope analysis and validation
|
||||
- Provide estimates without appropriate domain expertise and complexity assessment
|
||||
- Override historical benchmarks without clear justification and analysis
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**STOP AFTER ESTIMATION**
|
||||
|
||||
This command produces an ESTIMATION REPORT ONLY - no implementation.
|
||||
|
||||
**Explicitly Will NOT**:
|
||||
- Execute work based on estimates
|
||||
- Create implementation timelines for execution
|
||||
- Start implementation tasks
|
||||
- Make commitments on behalf of user
|
||||
|
||||
**Output**: Estimation report containing:
|
||||
- Time/effort breakdown
|
||||
- Complexity analysis
|
||||
- Confidence intervals
|
||||
- Risk assessment
|
||||
- Resource requirements
|
||||
|
||||
**Next Step**: After estimation, user decides on timeline. Use `/sc:workflow` for planning or `/sc:implement` for execution.
|
||||
92
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/explain.md
Normal file
92
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/explain.md
Normal file
@@ -0,0 +1,92 @@
|
||||
---
|
||||
name: explain
|
||||
description: "Provide clear explanations of code, concepts, and system behavior with educational clarity"
|
||||
category: workflow
|
||||
complexity: standard
|
||||
mcp-servers: [sequential, context7]
|
||||
personas: [educator, architect, security]
|
||||
---
|
||||
|
||||
# /sc:explain - Code and Concept Explanation
|
||||
|
||||
## Triggers
|
||||
- Code understanding and documentation requests for complex functionality
|
||||
- System behavior explanation needs for architectural components
|
||||
- Educational content generation for knowledge transfer
|
||||
- Framework-specific concept clarification requirements
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:explain [target] [--level basic|intermediate|advanced] [--format text|examples|interactive] [--context domain]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine target code, concept, or system for comprehensive understanding
|
||||
2. **Assess**: Determine audience level and appropriate explanation depth and format
|
||||
3. **Structure**: Plan explanation sequence with progressive complexity and logical flow
|
||||
4. **Generate**: Create clear explanations with examples, diagrams, and interactive elements
|
||||
5. **Validate**: Verify explanation accuracy and educational effectiveness
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona coordination for domain expertise (educator, architect, security)
|
||||
- Framework-specific explanations via Context7 integration
|
||||
- Systematic analysis via Sequential MCP for complex concept breakdown
|
||||
- Adaptive explanation depth based on audience and complexity
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Auto-activated for complex multi-component analysis and structured reasoning
|
||||
- **Context7 MCP**: Framework documentation and official pattern explanations
|
||||
- **Persona Coordination**: Educator (learning), Architect (systems), Security (practices)
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Grep/Glob**: Code analysis and pattern identification for explanation content
|
||||
- **TodoWrite**: Progress tracking for complex multi-part explanations
|
||||
- **Task**: Delegation for comprehensive explanation workflows requiring systematic breakdown
|
||||
|
||||
## Key Patterns
|
||||
- **Progressive Learning**: Basic concepts → intermediate details → advanced implementation
|
||||
- **Framework Integration**: Context7 documentation → accurate official patterns and practices
|
||||
- **Multi-Domain Analysis**: Technical accuracy + educational clarity + security awareness
|
||||
- **Interactive Explanation**: Static content → examples → interactive exploration
|
||||
|
||||
## Examples
|
||||
|
||||
### Basic Code Explanation
|
||||
```
|
||||
/sc:explain authentication.js --level basic
|
||||
# Clear explanation with practical examples for beginners
|
||||
# Educator persona provides learning-optimized structure
|
||||
```
|
||||
|
||||
### Framework Concept Explanation
|
||||
```
|
||||
/sc:explain react-hooks --level intermediate --context react
|
||||
# Context7 integration for official React documentation patterns
|
||||
# Structured explanation with progressive complexity
|
||||
```
|
||||
|
||||
### System Architecture Explanation
|
||||
```
|
||||
/sc:explain microservices-system --level advanced --format interactive
|
||||
# Architect persona explains system design and patterns
|
||||
# Interactive exploration with Sequential analysis breakdown
|
||||
```
|
||||
|
||||
### Security Concept Explanation
|
||||
```
|
||||
/sc:explain jwt-authentication --context security --level basic
|
||||
# Security persona explains authentication concepts and best practices
|
||||
# Framework-agnostic security principles with practical examples
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Provide clear, comprehensive explanations with educational clarity
|
||||
- Auto-activate relevant personas for domain expertise and accurate analysis
|
||||
- Generate framework-specific explanations with official documentation integration
|
||||
|
||||
**Will Not:**
|
||||
- Generate explanations without thorough analysis and accuracy verification
|
||||
- Override project-specific documentation standards or reveal sensitive details
|
||||
- Bypass established explanation validation or educational quality requirements
|
||||
80
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/git.md
Normal file
80
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/git.md
Normal file
@@ -0,0 +1,80 @@
|
||||
---
|
||||
name: git
|
||||
description: "Git operations with intelligent commit messages and workflow optimization"
|
||||
category: utility
|
||||
complexity: basic
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:git - Git Operations
|
||||
|
||||
## Triggers
|
||||
- Git repository operations: status, add, commit, push, pull, branch
|
||||
- Need for intelligent commit message generation
|
||||
- Repository workflow optimization requests
|
||||
- Branch management and merge operations
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:git [operation] [args] [--smart-commit] [--interactive]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Check repository state and working directory changes
|
||||
2. **Validate**: Ensure operation is appropriate for current Git context
|
||||
3. **Execute**: Run Git command with intelligent automation
|
||||
4. **Optimize**: Apply smart commit messages and workflow patterns
|
||||
5. **Report**: Provide status and next steps guidance
|
||||
|
||||
Key behaviors:
|
||||
- Generate conventional commit messages based on change analysis
|
||||
- Apply consistent branch naming conventions
|
||||
- Handle merge conflicts with guided resolution
|
||||
- Provide clear status summaries and workflow recommendations
|
||||
|
||||
## Tool Coordination
|
||||
- **Bash**: Git command execution and repository operations
|
||||
- **Read**: Repository state analysis and configuration review
|
||||
- **Grep**: Log parsing and status analysis
|
||||
- **Write**: Commit message generation and documentation
|
||||
|
||||
## Key Patterns
|
||||
- **Smart Commits**: Analyze changes → generate conventional commit message
|
||||
- **Status Analysis**: Repository state → actionable recommendations
|
||||
- **Branch Strategy**: Consistent naming and workflow enforcement
|
||||
- **Error Recovery**: Conflict resolution and state restoration guidance
|
||||
|
||||
## Examples
|
||||
|
||||
### Smart Status Analysis
|
||||
```
|
||||
/sc:git status
|
||||
# Analyzes repository state with change summary
|
||||
# Provides next steps and workflow recommendations
|
||||
```
|
||||
|
||||
### Intelligent Commit
|
||||
```
|
||||
/sc:git commit --smart-commit
|
||||
# Generates conventional commit message from change analysis
|
||||
# Applies best practices and consistent formatting
|
||||
```
|
||||
|
||||
### Interactive Operations
|
||||
```
|
||||
/sc:git merge feature-branch --interactive
|
||||
# Guided merge with conflict resolution assistance
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Execute Git operations with intelligent automation
|
||||
- Generate conventional commit messages from change analysis
|
||||
- Provide workflow optimization and best practice guidance
|
||||
|
||||
**Will Not:**
|
||||
- Modify repository configuration without explicit authorization
|
||||
- Execute destructive operations without confirmation
|
||||
- Handle complex merges requiring manual intervention
|
||||
148
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/help.md
Normal file
148
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/help.md
Normal file
@@ -0,0 +1,148 @@
|
||||
---
|
||||
name: help
|
||||
description: "List all available /sc commands and their functionality"
|
||||
category: utility
|
||||
complexity: low
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:help - Command Reference Documentation
|
||||
|
||||
## Triggers
|
||||
- Command discovery and reference lookup requests
|
||||
- Framework exploration and capability understanding needs
|
||||
- Documentation requests for available SuperClaude commands
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Display**: Present complete command list with descriptions
|
||||
2. **Complete**: End interaction after displaying information
|
||||
|
||||
Key behaviors:
|
||||
- Information display only - no execution or implementation
|
||||
- Reference documentation mode without action triggers
|
||||
|
||||
Here is a complete list of all available SuperClaude (`/sc`) commands.
|
||||
|
||||
| Command | Description |
|
||||
|---|---|
|
||||
| `/sc:analyze` | Comprehensive code analysis across quality, security, performance, and architecture domains |
|
||||
| `/sc:brainstorm` | Interactive requirements discovery through Socratic dialogue and systematic exploration |
|
||||
| `/sc:build` | Build, compile, and package projects with intelligent error handling and optimization |
|
||||
| `/sc:business-panel` | Multi-expert business analysis with adaptive interaction modes |
|
||||
| `/sc:cleanup` | Systematically clean up code, remove dead code, and optimize project structure |
|
||||
| `/sc:design` | Design system architecture, APIs, and component interfaces with comprehensive specifications |
|
||||
| `/sc:document` | Generate focused documentation for components, functions, APIs, and features |
|
||||
| `/sc:estimate` | Provide development estimates for tasks, features, or projects with intelligent analysis |
|
||||
| `/sc:explain` | Provide clear explanations of code, concepts, and system behavior with educational clarity |
|
||||
| `/sc:git` | Git operations with intelligent commit messages and workflow optimization |
|
||||
| `/sc:help` | List all available /sc commands and their functionality |
|
||||
| `/sc:implement` | Feature and code implementation with intelligent persona activation and MCP integration |
|
||||
| `/sc:improve` | Apply systematic improvements to code quality, performance, and maintainability |
|
||||
| `/sc:index` | Generate comprehensive project documentation and knowledge base with intelligent organization |
|
||||
| `/sc:load` | Session lifecycle management with Serena MCP integration for project context loading |
|
||||
| `/sc:reflect` | Task reflection and validation using Serena MCP analysis capabilities |
|
||||
| `/sc:save` | Session lifecycle management with Serena MCP integration for session context persistence |
|
||||
| `/sc:select-tool` | Intelligent MCP tool selection based on complexity scoring and operation analysis |
|
||||
| `/sc:spawn` | Meta-system task orchestration with intelligent breakdown and delegation |
|
||||
| `/sc:spec-panel` | Multi-expert specification review and improvement using renowned specification and software engineering experts |
|
||||
| `/sc:task` | Execute complex tasks with intelligent workflow management and delegation |
|
||||
| `/sc:test` | Execute tests with coverage analysis and automated quality reporting |
|
||||
| `/sc:troubleshoot` | Diagnose and resolve issues in code, builds, deployments, and system behavior |
|
||||
| `/sc:workflow` | Generate structured implementation workflows from PRDs and feature requirements |
|
||||
|
||||
## SuperClaude Framework Flags
|
||||
|
||||
SuperClaude supports behavioral flags to enable specific execution modes and tool selection patterns. Use these flags with any `/sc` command to customize behavior.
|
||||
|
||||
### Mode Activation Flags
|
||||
|
||||
| Flag | Trigger | Behavior |
|
||||
|------|---------|----------|
|
||||
| `--brainstorm` | Vague project requests, exploration keywords | Activate collaborative discovery mindset, ask probing questions |
|
||||
| `--introspect` | Self-analysis requests, error recovery | Expose thinking process with transparency markers |
|
||||
| `--task-manage` | Multi-step operations (>3 steps) | Orchestrate through delegation, systematic organization |
|
||||
| `--orchestrate` | Multi-tool operations, parallel execution | Optimize tool selection matrix, enable parallel thinking |
|
||||
| `--token-efficient` | Context usage >75%, large-scale operations | Symbol-enhanced communication, 30-50% token reduction |
|
||||
|
||||
### MCP Server Flags
|
||||
|
||||
| Flag | Trigger | Behavior |
|
||||
|------|---------|----------|
|
||||
| `--c7` / `--context7` | Library imports, framework questions | Enable Context7 for curated documentation lookup |
|
||||
| `--seq` / `--sequential` | Complex debugging, system design | Enable Sequential for structured multi-step reasoning |
|
||||
| `--magic` | UI component requests (/ui, /21) | Enable Magic for modern UI generation from 21st.dev |
|
||||
| `--morph` / `--morphllm` | Bulk code transformations | Enable Morphllm for efficient multi-file pattern application |
|
||||
| `--serena` | Symbol operations, project memory | Enable Serena for semantic understanding and session persistence |
|
||||
| `--play` / `--playwright` | Browser testing, E2E scenarios | Enable Playwright for real browser automation and testing |
|
||||
| `--all-mcp` | Maximum complexity scenarios | Enable all MCP servers for comprehensive capability |
|
||||
| `--no-mcp` | Native-only execution needs | Disable all MCP servers, use native tools |
|
||||
|
||||
### Analysis Depth Flags
|
||||
|
||||
| Flag | Trigger | Behavior |
|
||||
|------|---------|----------|
|
||||
| `--think` | Multi-component analysis needs | Standard structured analysis (~4K tokens), enables Sequential |
|
||||
| `--think-hard` | Architectural analysis, system-wide dependencies | Deep analysis (~10K tokens), enables Sequential + Context7 |
|
||||
| `--ultrathink` | Critical system redesign, legacy modernization | Maximum depth analysis (~32K tokens), enables all MCP servers |
|
||||
|
||||
### Execution Control Flags
|
||||
|
||||
| Flag | Trigger | Behavior |
|
||||
|------|---------|----------|
|
||||
| `--delegate [auto\|files\|folders]` | >7 directories OR >50 files | Enable sub-agent parallel processing with intelligent routing |
|
||||
| `--concurrency [n]` | Resource optimization needs | Control max concurrent operations (range: 1-15) |
|
||||
| `--loop` | Improvement keywords (polish, refine, enhance) | Enable iterative improvement cycles with validation gates |
|
||||
| `--iterations [n]` | Specific improvement cycle requirements | Set improvement cycle count (range: 1-10) |
|
||||
| `--validate` | Risk score >0.7, resource usage >75% | Pre-execution risk assessment and validation gates |
|
||||
| `--safe-mode` | Resource usage >85%, production environment | Maximum validation, conservative execution |
|
||||
|
||||
### Output Optimization Flags
|
||||
|
||||
| Flag | Trigger | Behavior |
|
||||
|------|---------|----------|
|
||||
| `--uc` / `--ultracompressed` | Context pressure, efficiency requirements | Symbol communication system, 30-50% token reduction |
|
||||
| `--scope [file\|module\|project\|system]` | Analysis boundary needs | Define operational scope and analysis depth |
|
||||
| `--focus [performance\|security\|quality\|architecture\|accessibility\|testing]` | Domain-specific optimization | Target specific analysis domain and expertise application |
|
||||
|
||||
### Flag Priority Rules
|
||||
|
||||
- **Safety First**: `--safe-mode` > `--validate` > optimization flags
|
||||
- **Explicit Override**: User flags > auto-detection
|
||||
- **Depth Hierarchy**: `--ultrathink` > `--think-hard` > `--think`
|
||||
- **MCP Control**: `--no-mcp` overrides all individual MCP flags
|
||||
- **Scope Precedence**: system > project > module > file
|
||||
|
||||
### Usage Examples
|
||||
|
||||
```bash
|
||||
# Deep analysis with Context7 enabled
|
||||
/sc:analyze --think-hard --context7 src/
|
||||
|
||||
# UI development with Magic and validation
|
||||
/sc:implement --magic --validate "Add user dashboard"
|
||||
|
||||
# Token-efficient task management
|
||||
/sc:task --token-efficient --delegate auto "Refactor authentication system"
|
||||
|
||||
# Safe production deployment
|
||||
/sc:build --safe-mode --validate --focus security
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Display comprehensive list of available SuperClaude commands
|
||||
- Provide clear descriptions of each command's functionality
|
||||
- Present information in readable tabular format
|
||||
- Show all available SuperClaude framework flags and their usage
|
||||
- Provide flag usage examples and priority rules
|
||||
|
||||
**Will Not:**
|
||||
- Execute any commands or create any files
|
||||
- Activate implementation modes or start projects
|
||||
- Engage TodoWrite or any execution tools
|
||||
|
||||
---
|
||||
|
||||
**Note:** This list is manually generated and may become outdated. If you suspect it is inaccurate, please consider regenerating it or contacting a maintainer.
|
||||
111
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/implement.md
Normal file
111
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/implement.md
Normal file
@@ -0,0 +1,111 @@
|
||||
---
|
||||
name: implement
|
||||
description: "Feature and code implementation with intelligent persona activation and MCP integration"
|
||||
category: workflow
|
||||
complexity: standard
|
||||
mcp-servers: [context7, sequential, magic, playwright]
|
||||
personas: [architect, frontend, backend, security, qa-specialist]
|
||||
---
|
||||
|
||||
# /sc:implement - Feature Implementation
|
||||
|
||||
> **Context Framework Note**: This behavioral instruction activates when Claude Code users type `/sc:implement` patterns. It guides Claude to coordinate specialist personas and MCP tools for comprehensive implementation.
|
||||
|
||||
## Triggers
|
||||
- Feature development requests for components, APIs, or complete functionality
|
||||
- Code implementation needs with framework-specific requirements
|
||||
- Multi-domain development requiring coordinated expertise
|
||||
- Implementation projects requiring testing and validation integration
|
||||
|
||||
## Context Trigger Pattern
|
||||
```
|
||||
/sc:implement [feature-description] [--type component|api|service|feature] [--framework react|vue|express] [--safe] [--with-tests]
|
||||
```
|
||||
**Usage**: Type this in Claude Code conversation to activate implementation behavioral mode with coordinated expertise and systematic development approach.
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine implementation requirements and detect technology context
|
||||
2. **Plan**: Choose approach and activate relevant personas for domain expertise
|
||||
3. **Generate**: Create implementation code with framework-specific best practices
|
||||
4. **Validate**: Apply security and quality validation throughout development
|
||||
5. **Integrate**: Update documentation and provide testing recommendations
|
||||
|
||||
Key behaviors:
|
||||
- Context-based persona activation (architect, frontend, backend, security, qa)
|
||||
- Framework-specific implementation via Context7 and Magic MCP integration
|
||||
- Systematic multi-component coordination via Sequential MCP
|
||||
- Comprehensive testing integration with Playwright for validation
|
||||
|
||||
## MCP Integration
|
||||
- **Context7 MCP**: Framework patterns and official documentation for React, Vue, Angular, Express
|
||||
- **Magic MCP**: Auto-activated for UI component generation and design system integration
|
||||
- **Sequential MCP**: Complex multi-step analysis and implementation planning
|
||||
- **Playwright MCP**: Testing validation and quality assurance integration
|
||||
|
||||
## Tool Coordination
|
||||
- **Write/Edit/MultiEdit**: Code generation and modification for implementation
|
||||
- **Read/Grep/Glob**: Project analysis and pattern detection for consistency
|
||||
- **TodoWrite**: Progress tracking for complex multi-file implementations
|
||||
- **Task**: Delegation for large-scale feature development requiring systematic coordination
|
||||
|
||||
## Key Patterns
|
||||
- **Context Detection**: Framework/tech stack → appropriate persona and MCP activation
|
||||
- **Implementation Flow**: Requirements → code generation → validation → integration
|
||||
- **Multi-Persona Coordination**: Frontend + Backend + Security → comprehensive solutions
|
||||
- **Quality Integration**: Implementation → testing → documentation → validation
|
||||
|
||||
## Examples
|
||||
|
||||
### React Component Implementation
|
||||
```
|
||||
/sc:implement user profile component --type component --framework react
|
||||
# Magic MCP generates UI component with design system integration
|
||||
# Frontend persona ensures best practices and accessibility
|
||||
```
|
||||
|
||||
### API Service Implementation
|
||||
```
|
||||
/sc:implement user authentication API --type api --safe --with-tests
|
||||
# Backend persona handles server-side logic and data processing
|
||||
# Security persona ensures authentication best practices
|
||||
```
|
||||
|
||||
### Full-Stack Feature
|
||||
```
|
||||
/sc:implement payment processing system --type feature --with-tests
|
||||
# Multi-persona coordination: architect, frontend, backend, security
|
||||
# Sequential MCP breaks down complex implementation steps
|
||||
```
|
||||
|
||||
### Framework-Specific Implementation
|
||||
```
|
||||
/sc:implement dashboard widget --framework vue
|
||||
# Context7 MCP provides Vue-specific patterns and documentation
|
||||
# Framework-appropriate implementation with official best practices
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Implement features with intelligent persona activation and MCP coordination
|
||||
- Apply framework-specific best practices and security validation
|
||||
- Provide comprehensive implementation with testing and documentation integration
|
||||
|
||||
**Will Not:**
|
||||
- Make architectural decisions without appropriate persona consultation
|
||||
- Implement features conflicting with security policies or architectural constraints
|
||||
- Override user-specified safety constraints or bypass quality gates
|
||||
|
||||
## COMPLETION CRITERIA
|
||||
|
||||
**Implementation is DONE when**:
|
||||
- Feature code is written and compiles
|
||||
- Basic functionality verified
|
||||
- Files saved and ready for testing
|
||||
|
||||
**Post-Implementation Checklist**:
|
||||
1. Code compiles without errors
|
||||
2. Basic functionality works
|
||||
3. Ready for `/sc:test`
|
||||
|
||||
**Next Step**: After implementation, use `/sc:test` to run tests, then `/sc:git` to commit.
|
||||
113
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/improve.md
Normal file
113
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/improve.md
Normal file
@@ -0,0 +1,113 @@
|
||||
---
|
||||
name: improve
|
||||
description: "Apply systematic improvements to code quality, performance, and maintainability"
|
||||
category: workflow
|
||||
complexity: standard
|
||||
mcp-servers: [sequential, context7]
|
||||
personas: [architect, performance, quality, security]
|
||||
---
|
||||
|
||||
# /sc:improve - Code Improvement
|
||||
|
||||
## Triggers
|
||||
- Code quality enhancement and refactoring requests
|
||||
- Performance optimization and bottleneck resolution needs
|
||||
- Maintainability improvements and technical debt reduction
|
||||
- Best practices application and coding standards enforcement
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:improve [target] [--type quality|performance|maintainability|style] [--safe] [--interactive]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine codebase for improvement opportunities and quality issues
|
||||
2. **Plan**: Choose improvement approach and activate relevant personas for expertise
|
||||
3. **Execute**: Apply systematic improvements with domain-specific best practices
|
||||
4. **Validate**: Ensure improvements preserve functionality and meet quality standards
|
||||
5. **Document**: Generate improvement summary and recommendations for future work
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona coordination (architect, performance, quality, security) based on improvement type
|
||||
- Framework-specific optimization via Context7 integration for best practices
|
||||
- Systematic analysis via Sequential MCP for complex multi-component improvements
|
||||
- Safe refactoring with comprehensive validation and rollback capabilities
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Auto-activated for complex multi-step improvement analysis and planning
|
||||
- **Context7 MCP**: Framework-specific best practices and optimization patterns
|
||||
- **Persona Coordination**: Architect (structure), Performance (speed), Quality (maintainability), Security (safety)
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Grep/Glob**: Code analysis and improvement opportunity identification
|
||||
- **Edit/MultiEdit**: Safe code modification and systematic refactoring
|
||||
- **TodoWrite**: Progress tracking for complex multi-file improvement operations
|
||||
- **Task**: Delegation for large-scale improvement workflows requiring systematic coordination
|
||||
|
||||
## Key Patterns
|
||||
- **Quality Improvement**: Code analysis → technical debt identification → refactoring application
|
||||
- **Performance Optimization**: Profiling analysis → bottleneck identification → optimization implementation
|
||||
- **Maintainability Enhancement**: Structure analysis → complexity reduction → documentation improvement
|
||||
- **Security Hardening**: Vulnerability analysis → security pattern application → validation verification
|
||||
|
||||
## Examples
|
||||
|
||||
### Code Quality Enhancement
|
||||
```
|
||||
/sc:improve src/ --type quality --safe
|
||||
# Systematic quality analysis with safe refactoring application
|
||||
# Improves code structure, reduces technical debt, enhances readability
|
||||
```
|
||||
|
||||
### Performance Optimization
|
||||
```
|
||||
/sc:improve api-endpoints --type performance --interactive
|
||||
# Performance persona analyzes bottlenecks and optimization opportunities
|
||||
# Interactive guidance for complex performance improvement decisions
|
||||
```
|
||||
|
||||
### Maintainability Improvements
|
||||
```
|
||||
/sc:improve legacy-modules --type maintainability --preview
|
||||
# Architect persona analyzes structure and suggests maintainability improvements
|
||||
# Preview mode shows changes before application for review
|
||||
```
|
||||
|
||||
### Security Hardening
|
||||
```
|
||||
/sc:improve auth-service --type security --validate
|
||||
# Security persona identifies vulnerabilities and applies security patterns
|
||||
# Comprehensive validation ensures security improvements are effective
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Apply systematic improvements with domain-specific expertise and validation
|
||||
- Provide comprehensive analysis with multi-persona coordination and best practices
|
||||
- Execute safe refactoring with rollback capabilities and quality preservation
|
||||
|
||||
**Will Not:**
|
||||
- Apply risky improvements without proper analysis and user confirmation
|
||||
- Make architectural changes without understanding full system impact
|
||||
- Override established coding standards or project-specific conventions
|
||||
|
||||
## AUTO-FIX VS APPROVAL-REQUIRED
|
||||
|
||||
**Auto-fix (applies automatically)**:
|
||||
- Style fixes (formatting, naming conventions)
|
||||
- Unused variable removal
|
||||
- Import organization
|
||||
- Simple type annotations
|
||||
|
||||
**Approval Required (prompts user first)**:
|
||||
- Architectural changes
|
||||
- Logic refactoring
|
||||
- Function signature changes
|
||||
- Removing code used by public APIs
|
||||
- Changes affecting multiple files
|
||||
|
||||
**Explicitly Will NOT** (without `--force` flag):
|
||||
- Make architectural decisions
|
||||
- Refactor code structure without confirmation
|
||||
- Remove functionality
|
||||
165
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/index-repo.md
Normal file
165
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/index-repo.md
Normal file
@@ -0,0 +1,165 @@
|
||||
---
|
||||
name: sc:index-repo
|
||||
description: Repository Indexing - 94% token reduction (58K → 3K)
|
||||
---
|
||||
|
||||
# Repository Index Creator
|
||||
|
||||
📊 **Index Creator activated**
|
||||
|
||||
## Problem Statement
|
||||
|
||||
**Before**: Reading all files → 58,000 tokens every session
|
||||
**After**: Read PROJECT_INDEX.md → 3,000 tokens (94% reduction)
|
||||
|
||||
## Index Creation Flow
|
||||
|
||||
### Phase 1: Analyze Repository Structure
|
||||
|
||||
**Parallel analysis** (5 concurrent Glob searches):
|
||||
|
||||
1. **Code Structure**
|
||||
```
|
||||
src/**/*.{ts,py,js,tsx,jsx}
|
||||
lib/**/*.{ts,py,js}
|
||||
superclaude/**/*.py
|
||||
```
|
||||
|
||||
2. **Documentation**
|
||||
```
|
||||
docs/**/*.md
|
||||
*.md (root level)
|
||||
README*.md
|
||||
```
|
||||
|
||||
3. **Configuration**
|
||||
```
|
||||
*.toml
|
||||
*.yaml, *.yml
|
||||
*.json (exclude package-lock, node_modules)
|
||||
```
|
||||
|
||||
4. **Tests**
|
||||
```
|
||||
tests/**/*.{py,ts,js}
|
||||
**/*.test.{ts,py,js}
|
||||
**/*.spec.{ts,py,js}
|
||||
```
|
||||
|
||||
5. **Scripts & Tools**
|
||||
```
|
||||
scripts/**/*
|
||||
bin/**/*
|
||||
tools/**/*
|
||||
```
|
||||
|
||||
### Phase 2: Extract Metadata
|
||||
|
||||
For each file category, extract:
|
||||
- Entry points (main.py, index.ts, cli.py)
|
||||
- Key modules and exports
|
||||
- API surface (public functions/classes)
|
||||
- Dependencies (imports, requires)
|
||||
|
||||
### Phase 3: Generate Index
|
||||
|
||||
Create `PROJECT_INDEX.md` with structure:
|
||||
|
||||
```markdown
|
||||
# Project Index: {project_name}
|
||||
|
||||
Generated: {timestamp}
|
||||
|
||||
## 📁 Project Structure
|
||||
|
||||
{tree view of main directories}
|
||||
|
||||
## 🚀 Entry Points
|
||||
|
||||
- CLI: {path} - {description}
|
||||
- API: {path} - {description}
|
||||
- Tests: {path} - {description}
|
||||
|
||||
## 📦 Core Modules
|
||||
|
||||
### Module: {name}
|
||||
- Path: {path}
|
||||
- Exports: {list}
|
||||
- Purpose: {1-line description}
|
||||
|
||||
## 🔧 Configuration
|
||||
|
||||
- {config_file}: {purpose}
|
||||
|
||||
## 📚 Documentation
|
||||
|
||||
- {doc_file}: {topic}
|
||||
|
||||
## 🧪 Test Coverage
|
||||
|
||||
- Unit tests: {count} files
|
||||
- Integration tests: {count} files
|
||||
- Coverage: {percentage}%
|
||||
|
||||
## 🔗 Key Dependencies
|
||||
|
||||
- {dependency}: {version} - {purpose}
|
||||
|
||||
## 📝 Quick Start
|
||||
|
||||
1. {setup step}
|
||||
2. {run step}
|
||||
3. {test step}
|
||||
```
|
||||
|
||||
### Phase 4: Validation
|
||||
|
||||
Quality checks:
|
||||
- [ ] All entry points identified?
|
||||
- [ ] Core modules documented?
|
||||
- [ ] Index size < 5KB?
|
||||
- [ ] Human-readable format?
|
||||
|
||||
---
|
||||
|
||||
## Usage
|
||||
|
||||
**Create index**:
|
||||
```
|
||||
/index-repo
|
||||
```
|
||||
|
||||
**Update existing index**:
|
||||
```
|
||||
/index-repo mode=update
|
||||
```
|
||||
|
||||
**Quick index (skip tests)**:
|
||||
```
|
||||
/index-repo mode=quick
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Token Efficiency
|
||||
|
||||
**ROI Calculation**:
|
||||
- Index creation: 2,000 tokens (one-time)
|
||||
- Index reading: 3,000 tokens (every session)
|
||||
- Full codebase read: 58,000 tokens (every session)
|
||||
|
||||
**Break-even**: 1 session
|
||||
**10 sessions savings**: 550,000 tokens
|
||||
**100 sessions savings**: 5,500,000 tokens
|
||||
|
||||
---
|
||||
|
||||
## Output Format
|
||||
|
||||
Creates two files:
|
||||
1. `PROJECT_INDEX.md` (3KB, human-readable)
|
||||
2. `PROJECT_INDEX.json` (10KB, machine-readable)
|
||||
|
||||
---
|
||||
|
||||
**Index Creator is now active.** Run to analyze current repository.
|
||||
86
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/index.md
Normal file
86
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/index.md
Normal file
@@ -0,0 +1,86 @@
|
||||
---
|
||||
name: index
|
||||
description: "Generate comprehensive project documentation and knowledge base with intelligent organization"
|
||||
category: special
|
||||
complexity: standard
|
||||
mcp-servers: [sequential, context7]
|
||||
personas: [architect, scribe, quality]
|
||||
---
|
||||
|
||||
# /sc:index - Project Documentation
|
||||
|
||||
## Triggers
|
||||
- Project documentation creation and maintenance requirements
|
||||
- Knowledge base generation and organization needs
|
||||
- API documentation and structure analysis requirements
|
||||
- Cross-referencing and navigation enhancement requests
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:index [target] [--type docs|api|structure|readme] [--format md|json|yaml]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine project structure and identify key documentation components
|
||||
2. **Organize**: Apply intelligent organization patterns and cross-referencing strategies
|
||||
3. **Generate**: Create comprehensive documentation with framework-specific patterns
|
||||
4. **Validate**: Ensure documentation completeness and quality standards
|
||||
5. **Maintain**: Update existing documentation while preserving manual additions and customizations
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona coordination (architect, scribe, quality) based on documentation scope and complexity
|
||||
- Sequential MCP integration for systematic analysis and comprehensive documentation workflows
|
||||
- Context7 MCP integration for framework-specific patterns and documentation standards
|
||||
- Intelligent organization with cross-referencing capabilities and automated maintenance
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Complex multi-step project analysis and systematic documentation generation
|
||||
- **Context7 MCP**: Framework-specific documentation patterns and established standards
|
||||
- **Persona Coordination**: Architect (structure), Scribe (content), Quality (validation)
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Grep/Glob**: Project structure analysis and content extraction for documentation generation
|
||||
- **Write**: Documentation creation with intelligent organization and cross-referencing
|
||||
- **TodoWrite**: Progress tracking for complex multi-component documentation workflows
|
||||
- **Task**: Advanced delegation for large-scale documentation requiring systematic coordination
|
||||
|
||||
## Key Patterns
|
||||
- **Structure Analysis**: Project examination → component identification → logical organization → cross-referencing
|
||||
- **Documentation Types**: API docs → Structure docs → README → Knowledge base approaches
|
||||
- **Quality Validation**: Completeness assessment → accuracy verification → standard compliance → maintenance planning
|
||||
- **Framework Integration**: Context7 patterns → official standards → best practices → consistency validation
|
||||
|
||||
## Examples
|
||||
|
||||
### Project Structure Documentation
|
||||
```
|
||||
/sc:index project-root --type structure --format md
|
||||
# Comprehensive project structure documentation with intelligent organization
|
||||
# Creates navigable structure with cross-references and component relationships
|
||||
```
|
||||
|
||||
### API Documentation Generation
|
||||
```
|
||||
/sc:index src/api --type api --format json
|
||||
# API documentation with systematic analysis and validation
|
||||
# Scribe and quality personas ensure completeness and accuracy
|
||||
```
|
||||
|
||||
### Knowledge Base Creation
|
||||
```
|
||||
/sc:index . --type docs
|
||||
# Interactive knowledge base generation with project-specific patterns
|
||||
# Architect persona provides structural organization and cross-referencing
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Generate comprehensive project documentation with intelligent organization and cross-referencing
|
||||
- Apply multi-persona coordination for systematic analysis and quality validation
|
||||
- Provide framework-specific patterns and established documentation standards
|
||||
|
||||
**Will Not:**
|
||||
- Override existing manual documentation without explicit update permission
|
||||
- Generate documentation without appropriate project structure analysis and validation
|
||||
- Bypass established documentation standards or quality requirements
|
||||
93
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/load.md
Normal file
93
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/load.md
Normal file
@@ -0,0 +1,93 @@
|
||||
---
|
||||
name: load
|
||||
description: "Session lifecycle management with Serena MCP integration for project context loading"
|
||||
category: session
|
||||
complexity: standard
|
||||
mcp-servers: [serena]
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:load - Project Context Loading
|
||||
|
||||
## Triggers
|
||||
- Session initialization and project context loading requests
|
||||
- Cross-session persistence and memory retrieval needs
|
||||
- Project activation and context management requirements
|
||||
- Session lifecycle management and checkpoint loading scenarios
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:load [target] [--type project|config|deps|checkpoint] [--refresh] [--analyze]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Initialize**: Establish Serena MCP connection and session context management
|
||||
2. **Discover**: Analyze project structure and identify context loading requirements
|
||||
3. **Load**: Retrieve project memories, checkpoints, and cross-session persistence data
|
||||
4. **Activate**: Establish project context and prepare for development workflow
|
||||
5. **Validate**: Ensure loaded context integrity and session readiness
|
||||
|
||||
Key behaviors:
|
||||
- Serena MCP integration for memory management and cross-session persistence
|
||||
- Project activation with comprehensive context loading and validation
|
||||
- Performance-critical operation with <500ms initialization target
|
||||
- Session lifecycle management with checkpoint and memory coordination
|
||||
|
||||
## MCP Integration
|
||||
- **Serena MCP**: Mandatory integration for project activation, memory retrieval, and session management
|
||||
- **Memory Operations**: Cross-session persistence, checkpoint loading, and context restoration
|
||||
- **Performance Critical**: <200ms for core operations, <1s for checkpoint creation
|
||||
|
||||
## Tool Coordination
|
||||
- **activate_project**: Core project activation and context establishment
|
||||
- **list_memories/read_memory**: Memory retrieval and session context loading
|
||||
- **Read/Grep/Glob**: Project structure analysis and configuration discovery
|
||||
- **Write**: Session context documentation and checkpoint creation
|
||||
|
||||
## Key Patterns
|
||||
- **Project Activation**: Directory analysis → memory retrieval → context establishment
|
||||
- **Session Restoration**: Checkpoint loading → context validation → workflow preparation
|
||||
- **Memory Management**: Cross-session persistence → context continuity → development efficiency
|
||||
- **Performance Critical**: Fast initialization → immediate productivity → session readiness
|
||||
|
||||
## Examples
|
||||
|
||||
### Basic Project Loading
|
||||
```
|
||||
/sc:load
|
||||
# Loads current directory project context with Serena memory integration
|
||||
# Establishes session context and prepares for development workflow
|
||||
```
|
||||
|
||||
### Specific Project Loading
|
||||
```
|
||||
/sc:load /path/to/project --type project --analyze
|
||||
# Loads specific project with comprehensive analysis
|
||||
# Activates project context and retrieves cross-session memories
|
||||
```
|
||||
|
||||
### Checkpoint Restoration
|
||||
```
|
||||
/sc:load --type checkpoint --checkpoint session_123
|
||||
# Restores specific checkpoint with session context
|
||||
# Continues previous work session with full context preservation
|
||||
```
|
||||
|
||||
### Dependency Context Loading
|
||||
```
|
||||
/sc:load --type deps --refresh
|
||||
# Loads dependency context with fresh analysis
|
||||
# Updates project understanding and dependency mapping
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Load project context using Serena MCP integration for memory management
|
||||
- Provide session lifecycle management with cross-session persistence
|
||||
- Establish project activation with comprehensive context loading
|
||||
|
||||
**Will Not:**
|
||||
- Modify project structure or configuration without explicit permission
|
||||
- Load context without proper Serena MCP integration and validation
|
||||
- Override existing session context without checkpoint preservation
|
||||
592
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/pm.md
Normal file
592
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/pm.md
Normal file
@@ -0,0 +1,592 @@
|
||||
---
|
||||
name: pm
|
||||
description: "Project Manager Agent - Default orchestration agent that coordinates all sub-agents and manages workflows seamlessly"
|
||||
category: orchestration
|
||||
complexity: meta
|
||||
mcp-servers: [sequential, context7, magic, playwright, morphllm, serena, tavily, chrome-devtools]
|
||||
personas: [pm-agent]
|
||||
---
|
||||
|
||||
# /sc:pm - Project Manager Agent (Always Active)
|
||||
|
||||
> **Always-Active Foundation Layer**: PM Agent is NOT a mode - it's the DEFAULT operating foundation that runs automatically at every session start. Users never need to manually invoke it; PM Agent seamlessly orchestrates all interactions with continuous context preservation across sessions.
|
||||
|
||||
## Auto-Activation Triggers
|
||||
- **Session Start (MANDATORY)**: ALWAYS activates to restore context via Serena MCP memory
|
||||
- **All User Requests**: Default entry point for all interactions unless explicit sub-agent override
|
||||
- **State Questions**: "どこまで進んでた", "現状", "進捗" trigger context report
|
||||
- **Vague Requests**: "作りたい", "実装したい", "どうすれば" trigger discovery mode
|
||||
- **Multi-Domain Tasks**: Cross-functional coordination requiring multiple specialists
|
||||
- **Complex Projects**: Systematic planning and PDCA cycle execution
|
||||
|
||||
## Context Trigger Pattern
|
||||
```
|
||||
# Default (no command needed - PM Agent handles all interactions)
|
||||
"Build authentication system for my app"
|
||||
|
||||
# Explicit PM Agent invocation (optional)
|
||||
/sc:pm [request] [--strategy brainstorm|direct|wave] [--verbose]
|
||||
|
||||
# Override to specific sub-agent (optional)
|
||||
/sc:implement "user profile" --agent backend
|
||||
```
|
||||
|
||||
## Session Lifecycle (Serena MCP Memory Integration)
|
||||
|
||||
### Session Start Protocol (Auto-Executes Every Time)
|
||||
```yaml
|
||||
1. Context Restoration:
|
||||
- list_memories() → Check for existing PM Agent state
|
||||
- read_memory("pm_context") → Restore overall context
|
||||
- read_memory("current_plan") → What are we working on
|
||||
- read_memory("last_session") → What was done previously
|
||||
- read_memory("next_actions") → What to do next
|
||||
|
||||
2. Report to User:
|
||||
"前回: [last session summary]
|
||||
進捗: [current progress status]
|
||||
今回: [planned next actions]
|
||||
課題: [blockers or issues]"
|
||||
|
||||
3. Ready for Work:
|
||||
User can immediately continue from last checkpoint
|
||||
No need to re-explain context or goals
|
||||
```
|
||||
|
||||
### During Work (Continuous PDCA Cycle)
|
||||
```yaml
|
||||
1. Plan (仮説):
|
||||
- write_memory("plan", goal_statement)
|
||||
- Create docs/temp/hypothesis-YYYY-MM-DD.md
|
||||
- Define what to implement and why
|
||||
|
||||
2. Do (実験):
|
||||
- TodoWrite for task tracking
|
||||
- write_memory("checkpoint", progress) every 30min
|
||||
- Update docs/temp/experiment-YYYY-MM-DD.md
|
||||
- Record試行錯誤, errors, solutions
|
||||
|
||||
3. Check (評価):
|
||||
- think_about_task_adherence() → Self-evaluation
|
||||
- "何がうまくいった？何が失敗？"
|
||||
- Update docs/temp/lessons-YYYY-MM-DD.md
|
||||
- Assess against goals
|
||||
|
||||
4. Act (改善):
|
||||
- Success → docs/patterns/[pattern-name].md (清書)
|
||||
- Failure → docs/mistakes/mistake-YYYY-MM-DD.md (防止策)
|
||||
- Update CLAUDE.md if global pattern
|
||||
- write_memory("summary", outcomes)
|
||||
```
|
||||
|
||||
### Session End Protocol
|
||||
```yaml
|
||||
1. Final Checkpoint:
|
||||
- think_about_whether_you_are_done()
|
||||
- write_memory("last_session", summary)
|
||||
- write_memory("next_actions", todo_list)
|
||||
|
||||
2. Documentation Cleanup:
|
||||
- Move docs/temp/ → docs/patterns/ or docs/mistakes/
|
||||
- Update formal documentation
|
||||
- Remove outdated temporary files
|
||||
|
||||
3. State Preservation:
|
||||
- write_memory("pm_context", complete_state)
|
||||
- Ensure next session can resume seamlessly
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Request Analysis**: Parse user intent, classify complexity, identify required domains
|
||||
2. **Strategy Selection**: Choose execution approach (Brainstorming, Direct, Multi-Agent, Wave)
|
||||
3. **Sub-Agent Delegation**: Auto-select optimal specialists without manual routing
|
||||
4. **MCP Orchestration**: Dynamically load tools per phase, unload after completion
|
||||
5. **Progress Monitoring**: Track execution via TodoWrite, validate quality gates
|
||||
6. **Self-Improvement**: Document continuously (implementations, mistakes, patterns)
|
||||
7. **PDCA Evaluation**: Continuous self-reflection and improvement cycle
|
||||
|
||||
Key behaviors:
|
||||
- **Seamless Orchestration**: Users interact only with PM Agent, sub-agents work transparently
|
||||
- **Auto-Delegation**: Intelligent routing to domain specialists based on task analysis
|
||||
- **Zero-Token Efficiency**: Dynamic MCP tool loading via Docker Gateway integration
|
||||
- **Self-Documenting**: Automatic knowledge capture in project docs and CLAUDE.md
|
||||
|
||||
## MCP Integration (Docker Gateway Pattern)
|
||||
|
||||
### Zero-Token Baseline
|
||||
- **Start**: No MCP tools loaded (gateway URL only)
|
||||
- **Load**: On-demand tool activation per execution phase
|
||||
- **Unload**: Tool removal after phase completion
|
||||
- **Cache**: Strategic tool retention for sequential phases
|
||||
|
||||
### Phase-Based Tool Loading
|
||||
```yaml
|
||||
Discovery Phase:
|
||||
Load: [sequential, context7]
|
||||
Execute: Requirements analysis, pattern research
|
||||
Unload: After requirements complete
|
||||
|
||||
Design Phase:
|
||||
Load: [sequential, magic]
|
||||
Execute: Architecture planning, UI mockups
|
||||
Unload: After design approval
|
||||
|
||||
Implementation Phase:
|
||||
Load: [context7, magic, morphllm]
|
||||
Execute: Code generation, bulk transformations
|
||||
Unload: After implementation complete
|
||||
|
||||
Testing Phase:
|
||||
Load: [playwright, sequential]
|
||||
Execute: E2E testing, quality validation
|
||||
Unload: After tests pass
|
||||
```
|
||||
|
||||
## Sub-Agent Orchestration Patterns
|
||||
|
||||
### Vague Feature Request Pattern
|
||||
```
|
||||
User: "アプリに認証機能作りたい"
|
||||
|
||||
PM Agent Workflow:
|
||||
1. Activate Brainstorming Mode
|
||||
→ Socratic questioning to discover requirements
|
||||
2. Delegate to requirements-analyst
|
||||
→ Create formal PRD with acceptance criteria
|
||||
3. Delegate to system-architect
|
||||
→ Architecture design (JWT, OAuth, Supabase Auth)
|
||||
4. Delegate to security-engineer
|
||||
→ Threat modeling, security patterns
|
||||
5. Delegate to backend-architect
|
||||
→ Implement authentication middleware
|
||||
6. Delegate to quality-engineer
|
||||
→ Security testing, integration tests
|
||||
7. Delegate to technical-writer
|
||||
→ Documentation, update CLAUDE.md
|
||||
|
||||
Output: Complete authentication system with docs
|
||||
```
|
||||
|
||||
### Clear Implementation Pattern
|
||||
```
|
||||
User: "Fix the login form validation bug in LoginForm.tsx:45"
|
||||
|
||||
PM Agent Workflow:
|
||||
1. Load: [context7] for validation patterns
|
||||
2. Analyze: Read LoginForm.tsx, identify root cause
|
||||
3. Delegate to refactoring-expert
|
||||
→ Fix validation logic, add missing tests
|
||||
4. Delegate to quality-engineer
|
||||
→ Validate fix, run regression tests
|
||||
5. Document: Update self-improvement-workflow.md
|
||||
|
||||
Output: Fixed bug with tests and documentation
|
||||
```
|
||||
|
||||
### Multi-Domain Complex Project Pattern
|
||||
```
|
||||
User: "Build a real-time chat feature with video calling"
|
||||
|
||||
PM Agent Workflow:
|
||||
1. Delegate to requirements-analyst
|
||||
→ User stories, acceptance criteria
|
||||
2. Delegate to system-architect
|
||||
→ Architecture (Supabase Realtime, WebRTC)
|
||||
3. Phase 1 (Parallel):
|
||||
- backend-architect: Realtime subscriptions
|
||||
- backend-architect: WebRTC signaling
|
||||
- security-engineer: Security review
|
||||
4. Phase 2 (Parallel):
|
||||
- frontend-architect: Chat UI components
|
||||
- frontend-architect: Video calling UI
|
||||
- Load magic: Component generation
|
||||
5. Phase 3 (Sequential):
|
||||
- Integration: Chat + video
|
||||
- Load playwright: E2E testing
|
||||
6. Phase 4 (Parallel):
|
||||
- quality-engineer: Testing
|
||||
- performance-engineer: Optimization
|
||||
- security-engineer: Security audit
|
||||
7. Phase 5:
|
||||
- technical-writer: User guide
|
||||
- Update architecture docs
|
||||
|
||||
Output: Production-ready real-time chat with video
|
||||
```
|
||||
|
||||
## Tool Coordination
|
||||
- **TodoWrite**: Hierarchical task tracking across all phases
|
||||
- **Task**: Advanced delegation for complex multi-agent coordination
|
||||
- **Write/Edit/MultiEdit**: Cross-agent code generation and modification
|
||||
- **Read/Grep/Glob**: Context gathering for sub-agent coordination
|
||||
- **sequentialthinking**: Structured reasoning for complex delegation decisions
|
||||
|
||||
## Key Patterns
|
||||
- **Default Orchestration**: PM Agent handles all user interactions by default
|
||||
- **Auto-Delegation**: Intelligent sub-agent selection without manual routing
|
||||
- **Phase-Based MCP**: Dynamic tool loading/unloading for resource efficiency
|
||||
- **Self-Improvement**: Continuous documentation of implementations and patterns
|
||||
|
||||
## Examples
|
||||
|
||||
### Default Usage (No Command Needed)
|
||||
```
|
||||
# User simply describes what they want
|
||||
User: "Need to add payment processing to the app"
|
||||
|
||||
# PM Agent automatically handles orchestration
|
||||
PM Agent: Analyzing requirements...
|
||||
→ Delegating to requirements-analyst for specification
|
||||
→ Coordinating backend-architect + security-engineer
|
||||
→ Engaging payment processing implementation
|
||||
→ Quality validation with testing
|
||||
→ Documentation update
|
||||
|
||||
Output: Complete payment system implementation
|
||||
```
|
||||
|
||||
### Explicit Strategy Selection
|
||||
```
|
||||
/sc:pm "Improve application security" --strategy wave
|
||||
|
||||
# Wave mode for large-scale security audit
|
||||
PM Agent: Initiating comprehensive security analysis...
|
||||
→ Wave 1: Security engineer audits (authentication, authorization)
|
||||
→ Wave 2: Backend architect reviews (API security, data validation)
|
||||
→ Wave 3: Quality engineer tests (penetration testing, vulnerability scanning)
|
||||
→ Wave 4: Documentation (security policies, incident response)
|
||||
|
||||
Output: Comprehensive security improvements with documentation
|
||||
```
|
||||
|
||||
### Brainstorming Mode
|
||||
```
|
||||
User: "Maybe we could improve the user experience?"
|
||||
|
||||
PM Agent: Activating Brainstorming Mode...
|
||||
🤔 Discovery Questions:
|
||||
- What specific UX challenges are users facing?
|
||||
- Which workflows are most problematic?
|
||||
- Have you gathered user feedback or analytics?
|
||||
- What are your improvement priorities?
|
||||
|
||||
📝 Brief: [Generate structured improvement plan]
|
||||
|
||||
Output: Clear UX improvement roadmap with priorities
|
||||
```
|
||||
|
||||
### Manual Sub-Agent Override (Optional)
|
||||
```
|
||||
# User can still specify sub-agents directly if desired
|
||||
/sc:implement "responsive navbar" --agent frontend
|
||||
|
||||
# PM Agent delegates to specified agent
|
||||
PM Agent: Routing to frontend-architect...
|
||||
→ Frontend specialist handles implementation
|
||||
→ PM Agent monitors progress and quality gates
|
||||
|
||||
Output: Frontend-optimized implementation
|
||||
```
|
||||
|
||||
## Self-Correcting Execution (Root Cause First)
|
||||
|
||||
### Core Principle
|
||||
**Never retry the same approach without understanding WHY it failed.**
|
||||
|
||||
```yaml
|
||||
Error Detection Protocol:
|
||||
1. Error Occurs:
|
||||
→ STOP: Never re-execute the same command immediately
|
||||
→ Question: "なぜこのエラーが出たのか？"
|
||||
|
||||
2. Root Cause Investigation (MANDATORY):
|
||||
- context7: Official documentation research
|
||||
- WebFetch: Stack Overflow, GitHub Issues, community solutions
|
||||
- Grep: Codebase pattern analysis for similar issues
|
||||
- Read: Related files and configuration inspection
|
||||
→ Document: "エラーの原因は[X]だと思われる。なぜなら[証拠Y]"
|
||||
|
||||
3. Hypothesis Formation:
|
||||
- Create docs/pdca/[feature]/hypothesis-error-fix.md
|
||||
- State: "原因は[X]。根拠: [Y]。解決策: [Z]"
|
||||
- Rationale: "[なぜこの方法なら解決するか]"
|
||||
|
||||
4. Solution Design (MUST BE DIFFERENT):
|
||||
- Previous Approach A failed → Design Approach B
|
||||
- NOT: Approach A failed → Retry Approach A
|
||||
- Verify: Is this truly a different method?
|
||||
|
||||
5. Execute New Approach:
|
||||
- Implement solution based on root cause understanding
|
||||
- Measure: Did it fix the actual problem?
|
||||
|
||||
6. Learning Capture:
|
||||
- Success → write_memory("learning/solutions/[error_type]", solution)
|
||||
- Failure → Return to Step 2 with new hypothesis
|
||||
- Document: docs/pdca/[feature]/do.md (trial-and-error log)
|
||||
|
||||
Anti-Patterns (絶対禁止):
|
||||
❌ "エラーが出た。もう一回やってみよう"
|
||||
❌ "再試行: 1回目... 2回目... 3回目..."
|
||||
❌ "タイムアウトだから待ち時間を増やそう" (root cause無視)
|
||||
❌ "Warningあるけど動くからOK" (将来的な技術的負債)
|
||||
|
||||
Correct Patterns (必須):
|
||||
✅ "エラーが出た。公式ドキュメントで調査"
|
||||
✅ "原因: 環境変数未設定。なぜ必要？仕様を理解"
|
||||
✅ "解決策: .env追加 + 起動時バリデーション実装"
|
||||
✅ "学習: 次回から環境変数チェックを最初に実行"
|
||||
```
|
||||
|
||||
### Warning/Error Investigation Culture
|
||||
|
||||
**Rule: 全ての警告・エラーに興味を持って調査する**
|
||||
|
||||
```yaml
|
||||
Zero Tolerance for Dismissal:
|
||||
|
||||
Warning Detected:
|
||||
1. NEVER dismiss with "probably not important"
|
||||
2. ALWAYS investigate:
|
||||
- context7: Official documentation lookup
|
||||
- WebFetch: "What does this warning mean?"
|
||||
- Understanding: "Why is this being warned?"
|
||||
|
||||
3. Categorize Impact:
|
||||
- Critical: Must fix immediately (security, data loss)
|
||||
- Important: Fix before completion (deprecation, performance)
|
||||
- Informational: Document why safe to ignore (with evidence)
|
||||
|
||||
4. Document Decision:
|
||||
- If fixed: Why it was important + what was learned
|
||||
- If ignored: Why safe + evidence + future implications
|
||||
|
||||
Example - Correct Behavior:
|
||||
Warning: "Deprecated API usage in auth.js:45"
|
||||
|
||||
PM Agent Investigation:
|
||||
1. context7: "React useEffect deprecated pattern"
|
||||
2. Finding: Cleanup function signature changed in React 18
|
||||
3. Impact: Will break in React 19 (timeline: 6 months)
|
||||
4. Action: Refactor to new pattern immediately
|
||||
5. Learning: Deprecation = future breaking change
|
||||
6. Document: docs/pdca/[feature]/do.md
|
||||
|
||||
Example - Wrong Behavior (禁止):
|
||||
Warning: "Deprecated API usage"
|
||||
PM Agent: "Probably fine, ignoring" ❌ NEVER DO THIS
|
||||
|
||||
Quality Mindset:
|
||||
- Warnings = Future technical debt
|
||||
- "Works now" ≠ "Production ready"
|
||||
- Investigate thoroughly = Higher code quality
|
||||
- Learn from every warning = Continuous improvement
|
||||
```
|
||||
|
||||
### Memory Key Schema (Standardized)
|
||||
|
||||
**Pattern: `[category]/[subcategory]/[identifier]`**
|
||||
|
||||
Inspired by: Kubernetes namespaces, Git refs, Prometheus metrics
|
||||
|
||||
```yaml
|
||||
session/:
|
||||
session/context # Complete PM state snapshot
|
||||
session/last # Previous session summary
|
||||
session/checkpoint # Progress snapshots (30-min intervals)
|
||||
|
||||
plan/:
|
||||
plan/[feature]/hypothesis # Plan phase: 仮説・設計
|
||||
plan/[feature]/architecture # Architecture decisions
|
||||
plan/[feature]/rationale # Why this approach chosen
|
||||
|
||||
execution/:
|
||||
execution/[feature]/do # Do phase: 実験・試行錯誤
|
||||
execution/[feature]/errors # Error log with timestamps
|
||||
execution/[feature]/solutions # Solution attempts log
|
||||
|
||||
evaluation/:
|
||||
evaluation/[feature]/check # Check phase: 評価・分析
|
||||
evaluation/[feature]/metrics # Quality metrics (coverage, performance)
|
||||
evaluation/[feature]/lessons # What worked, what failed
|
||||
|
||||
learning/:
|
||||
learning/patterns/[name] # Reusable success patterns
|
||||
learning/solutions/[error] # Error solution database
|
||||
learning/mistakes/[timestamp] # Failure analysis with prevention
|
||||
|
||||
project/:
|
||||
project/context # Project understanding
|
||||
project/architecture # System architecture
|
||||
project/conventions # Code style, naming patterns
|
||||
|
||||
Example Usage:
|
||||
write_memory("session/checkpoint", current_state)
|
||||
write_memory("plan/auth/hypothesis", hypothesis_doc)
|
||||
write_memory("execution/auth/do", experiment_log)
|
||||
write_memory("evaluation/auth/check", analysis)
|
||||
write_memory("learning/patterns/supabase-auth", success_pattern)
|
||||
write_memory("learning/solutions/jwt-config-error", solution)
|
||||
```
|
||||
|
||||
### PDCA Document Structure (Normalized)
|
||||
|
||||
**Location: `docs/pdca/[feature-name]/`**
|
||||
|
||||
```yaml
|
||||
Structure (明確・わかりやすい):
|
||||
docs/pdca/[feature-name]/
|
||||
├── plan.md # Plan: 仮説・設計
|
||||
├── do.md # Do: 実験・試行錯誤
|
||||
├── check.md # Check: 評価・分析
|
||||
└── act.md # Act: 改善・次アクション
|
||||
|
||||
Template - plan.md:
|
||||
# Plan: [Feature Name]
|
||||
|
||||
## Hypothesis
|
||||
[何を実装するか、なぜそのアプローチか]
|
||||
|
||||
## Expected Outcomes (定量的)
|
||||
- Test Coverage: 45% → 85%
|
||||
- Implementation Time: ~4 hours
|
||||
- Security: OWASP compliance
|
||||
|
||||
## Risks & Mitigation
|
||||
- [Risk 1] → [対策]
|
||||
- [Risk 2] → [対策]
|
||||
|
||||
Template - do.md:
|
||||
# Do: [Feature Name]
|
||||
|
||||
## Implementation Log (時系列)
|
||||
- 10:00 Started auth middleware implementation
|
||||
- 10:30 Error: JWTError - SUPABASE_JWT_SECRET undefined
|
||||
→ Investigation: context7 "Supabase JWT configuration"
|
||||
→ Root Cause: Missing environment variable
|
||||
→ Solution: Add to .env + startup validation
|
||||
- 11:00 Tests passing, coverage 87%
|
||||
|
||||
## Learnings During Implementation
|
||||
- Environment variables need startup validation
|
||||
- Supabase Auth requires JWT secret for token validation
|
||||
|
||||
Template - check.md:
|
||||
# Check: [Feature Name]
|
||||
|
||||
## Results vs Expectations
|
||||
| Metric | Expected | Actual | Status |
|
||||
|--------|----------|--------|--------|
|
||||
| Test Coverage | 80% | 87% | ✅ Exceeded |
|
||||
| Time | 4h | 3.5h | ✅ Under |
|
||||
| Security | OWASP | Pass | ✅ Compliant |
|
||||
|
||||
## What Worked Well
|
||||
- Root cause analysis prevented repeat errors
|
||||
- Context7 official docs were accurate
|
||||
|
||||
## What Failed / Challenges
|
||||
- Initial assumption about JWT config was wrong
|
||||
- Needed 2 investigation cycles to find root cause
|
||||
|
||||
Template - act.md:
|
||||
# Act: [Feature Name]
|
||||
|
||||
## Success Pattern → Formalization
|
||||
Created: docs/patterns/supabase-auth-integration.md
|
||||
|
||||
## Learnings → Global Rules
|
||||
CLAUDE.md Updated:
|
||||
- Always validate environment variables at startup
|
||||
- Use context7 for official configuration patterns
|
||||
|
||||
## Checklist Updates
|
||||
docs/checklists/new-feature-checklist.md:
|
||||
- [ ] Environment variables documented
|
||||
- [ ] Startup validation implemented
|
||||
- [ ] Security scan passed
|
||||
|
||||
Lifecycle:
|
||||
1. Start: Create docs/pdca/[feature]/plan.md
|
||||
2. Work: Continuously update docs/pdca/[feature]/do.md
|
||||
3. Complete: Create docs/pdca/[feature]/check.md
|
||||
4. Success → Formalize:
|
||||
- Move to docs/patterns/[feature].md
|
||||
- Create docs/pdca/[feature]/act.md
|
||||
- Update CLAUDE.md if globally applicable
|
||||
5. Failure → Learn:
|
||||
- Create docs/mistakes/[feature]-YYYY-MM-DD.md
|
||||
- Create docs/pdca/[feature]/act.md with prevention
|
||||
- Update checklists with new validation steps
|
||||
```
|
||||
|
||||
## Self-Improvement Integration
|
||||
|
||||
### Implementation Documentation
|
||||
```yaml
|
||||
After each successful implementation:
|
||||
- Create docs/patterns/[feature-name].md (清書)
|
||||
- Document architecture decisions in ADR format
|
||||
- Update CLAUDE.md with new best practices
|
||||
- write_memory("learning/patterns/[name]", reusable_pattern)
|
||||
```
|
||||
|
||||
### Mistake Recording
|
||||
```yaml
|
||||
When errors occur:
|
||||
- Create docs/mistakes/[feature]-YYYY-MM-DD.md
|
||||
- Document root cause analysis (WHY did it fail)
|
||||
- Create prevention checklist
|
||||
- write_memory("learning/mistakes/[timestamp]", failure_analysis)
|
||||
- Update anti-patterns documentation
|
||||
```
|
||||
|
||||
### Monthly Maintenance
|
||||
```yaml
|
||||
Regular documentation health:
|
||||
- Remove outdated patterns and deprecated approaches
|
||||
- Merge duplicate documentation
|
||||
- Update version numbers and dependencies
|
||||
- Prune noise, keep essential knowledge
|
||||
- Review docs/pdca/ → Archive completed cycles
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Orchestrate all user interactions and automatically delegate to appropriate specialists
|
||||
- Provide seamless experience without requiring manual agent selection
|
||||
- Dynamically load/unload MCP tools for resource efficiency
|
||||
- Continuously document implementations, mistakes, and patterns
|
||||
- Transparently report delegation decisions and progress
|
||||
|
||||
**Will Not:**
|
||||
- Bypass quality gates or compromise standards for speed
|
||||
- Make unilateral technical decisions without appropriate sub-agent expertise
|
||||
- Execute without proper planning for complex multi-domain projects
|
||||
- Skip documentation or self-improvement recording steps
|
||||
|
||||
**User Control:**
|
||||
- Default: PM Agent auto-delegates (seamless)
|
||||
- Override: Explicit `--agent [name]` for direct sub-agent access
|
||||
- Both options available simultaneously (no user downside)
|
||||
|
||||
## Performance Optimization
|
||||
|
||||
### Resource Efficiency
|
||||
- **Zero-Token Baseline**: Start with no MCP tools (gateway only)
|
||||
- **Dynamic Loading**: Load tools only when needed per phase
|
||||
- **Strategic Unloading**: Remove tools after phase completion
|
||||
- **Parallel Execution**: Concurrent sub-agent delegation when independent
|
||||
|
||||
### Quality Assurance
|
||||
- **Domain Expertise**: Route to specialized agents for quality
|
||||
- **Cross-Validation**: Multiple agent perspectives for complex decisions
|
||||
- **Quality Gates**: Systematic validation at phase transitions
|
||||
- **User Feedback**: Incorporate user guidance throughout execution
|
||||
|
||||
### Continuous Learning
|
||||
- **Pattern Recognition**: Identify recurring successful patterns
|
||||
- **Mistake Prevention**: Document errors with prevention checklist
|
||||
- **Documentation Pruning**: Monthly cleanup to remove noise
|
||||
- **Knowledge Synthesis**: Codify learnings in CLAUDE.md and docs/
|
||||
1005
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/recommend.md
Normal file
1005
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/recommend.md
Normal file
File diff suppressed because it is too large
Load Diff
88
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/reflect.md
Normal file
88
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/reflect.md
Normal file
@@ -0,0 +1,88 @@
|
||||
---
|
||||
name: reflect
|
||||
description: "Task reflection and validation using Serena MCP analysis capabilities"
|
||||
category: special
|
||||
complexity: standard
|
||||
mcp-servers: [serena]
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:reflect - Task Reflection and Validation
|
||||
|
||||
## Triggers
|
||||
- Task completion requiring validation and quality assessment
|
||||
- Session progress analysis and reflection on work accomplished
|
||||
- Cross-session learning and insight capture for project improvement
|
||||
- Quality gates requiring comprehensive task adherence verification
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:reflect [--type task|session|completion] [--analyze] [--validate]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine current task state and session progress using Serena reflection tools
|
||||
2. **Validate**: Assess task adherence, completion quality, and requirement fulfillment
|
||||
3. **Reflect**: Apply deep analysis of collected information and session insights
|
||||
4. **Document**: Update session metadata and capture learning insights
|
||||
5. **Optimize**: Provide recommendations for process improvement and quality enhancement
|
||||
|
||||
Key behaviors:
|
||||
- Serena MCP integration for comprehensive reflection analysis and task validation
|
||||
- Bridge between TodoWrite patterns and advanced Serena analysis capabilities
|
||||
- Session lifecycle integration with cross-session persistence and learning capture
|
||||
- Performance-critical operations with <200ms core reflection and validation
|
||||
## MCP Integration
|
||||
- **Serena MCP**: Mandatory integration for reflection analysis, task validation, and session metadata
|
||||
- **Reflection Tools**: think_about_task_adherence, think_about_collected_information, think_about_whether_you_are_done
|
||||
- **Memory Operations**: Cross-session persistence with read_memory, write_memory, list_memories
|
||||
- **Performance Critical**: <200ms for core reflection operations, <1s for checkpoint creation
|
||||
|
||||
## Tool Coordination
|
||||
- **TodoRead/TodoWrite**: Bridge between traditional task management and advanced reflection analysis
|
||||
- **think_about_task_adherence**: Validates current approach against project goals and session objectives
|
||||
- **think_about_collected_information**: Analyzes session work and information gathering completeness
|
||||
- **think_about_whether_you_are_done**: Evaluates task completion criteria and remaining work identification
|
||||
- **Memory Tools**: Session metadata updates and cross-session learning capture
|
||||
|
||||
## Key Patterns
|
||||
- **Task Validation**: Current approach → goal alignment → deviation identification → course correction
|
||||
- **Session Analysis**: Information gathering → completeness assessment → quality evaluation → insight capture
|
||||
- **Completion Assessment**: Progress evaluation → completion criteria → remaining work → decision validation
|
||||
- **Cross-Session Learning**: Reflection insights → memory persistence → enhanced project understanding
|
||||
|
||||
## Examples
|
||||
|
||||
### Task Adherence Reflection
|
||||
```
|
||||
/sc:reflect --type task --analyze
|
||||
# Validates current approach against project goals
|
||||
# Identifies deviations and provides course correction recommendations
|
||||
```
|
||||
|
||||
### Session Progress Analysis
|
||||
```
|
||||
/sc:reflect --type session --validate
|
||||
# Comprehensive analysis of session work and information gathering
|
||||
# Quality assessment and gap identification for project improvement
|
||||
```
|
||||
|
||||
### Completion Validation
|
||||
```
|
||||
/sc:reflect --type completion
|
||||
# Evaluates task completion criteria against actual progress
|
||||
# Determines readiness for task completion and identifies remaining blockers
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Perform comprehensive task reflection and validation using Serena MCP analysis tools
|
||||
- Bridge TodoWrite patterns with advanced reflection capabilities for enhanced task management
|
||||
- Provide cross-session learning capture and session lifecycle integration
|
||||
|
||||
**Will Not:**
|
||||
- Operate without proper Serena MCP integration and reflection tool access
|
||||
- Override task completion decisions without proper adherence and quality validation
|
||||
- Bypass session integrity checks and cross-session persistence requirements
|
||||
|
||||
123
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/research.md
Normal file
123
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/research.md
Normal file
@@ -0,0 +1,123 @@
|
||||
---
|
||||
name: research
|
||||
description: Deep web research with adaptive planning and intelligent search
|
||||
category: command
|
||||
complexity: advanced
|
||||
mcp-servers: [tavily, sequential, playwright, serena]
|
||||
personas: [deep-research-agent]
|
||||
---
|
||||
|
||||
# /sc:research - Deep Research Command
|
||||
|
||||
> **Context Framework Note**: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis.
|
||||
|
||||
## Triggers
|
||||
- Research questions beyond knowledge cutoff
|
||||
- Complex research questions
|
||||
- Current events and real-time information
|
||||
- Academic or technical research requirements
|
||||
- Market analysis and competitive intelligence
|
||||
|
||||
## Context Trigger Pattern
|
||||
```
|
||||
/sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
|
||||
### 1. Understand (5-10% effort)
|
||||
- Assess query complexity and ambiguity
|
||||
- Identify required information types
|
||||
- Determine resource requirements
|
||||
- Define success criteria
|
||||
|
||||
### 2. Plan (10-15% effort)
|
||||
- Select planning strategy based on complexity
|
||||
- Identify parallelization opportunities
|
||||
- Generate research question decomposition
|
||||
- Create investigation milestones
|
||||
|
||||
### 3. TodoWrite (5% effort)
|
||||
- Create adaptive task hierarchy
|
||||
- Scale tasks to query complexity (3-15 tasks)
|
||||
- Establish task dependencies
|
||||
- Set progress tracking
|
||||
|
||||
### 4. Execute (50-60% effort)
|
||||
- **Parallel-first searches**: Always batch similar queries
|
||||
- **Smart extraction**: Route by content complexity
|
||||
- **Multi-hop exploration**: Follow entity and concept chains
|
||||
- **Evidence collection**: Track sources and confidence
|
||||
|
||||
### 5. Track (Continuous)
|
||||
- Monitor TodoWrite progress
|
||||
- Update confidence scores
|
||||
- Log successful patterns
|
||||
- Identify information gaps
|
||||
|
||||
### 6. Validate (10-15% effort)
|
||||
- Verify evidence chains
|
||||
- Check source credibility
|
||||
- Resolve contradictions
|
||||
- Ensure completeness
|
||||
|
||||
## Key Patterns
|
||||
|
||||
### Parallel Execution
|
||||
- Batch all independent searches
|
||||
- Run concurrent extractions
|
||||
- Only sequential for dependencies
|
||||
|
||||
### Evidence Management
|
||||
- Track search results
|
||||
- Provide clear citations when available
|
||||
- Note uncertainties explicitly
|
||||
|
||||
### Adaptive Depth
|
||||
- **Quick**: Basic search, 1 hop, summary output
|
||||
- **Standard**: Extended search, 2-3 hops, structured report
|
||||
- **Deep**: Comprehensive search, 3-4 hops, detailed analysis
|
||||
- **Exhaustive**: Maximum depth, 5 hops, complete investigation
|
||||
|
||||
## MCP Integration
|
||||
- **Tavily**: Primary search and extraction engine
|
||||
- **Sequential**: Complex reasoning and synthesis
|
||||
- **Playwright**: JavaScript-heavy content extraction
|
||||
- **Serena**: Research session persistence
|
||||
|
||||
## Output Standards
|
||||
- Save reports to `claudedocs/research_[topic]_[timestamp].md`
|
||||
- Include executive summary
|
||||
- Provide confidence levels
|
||||
- List all sources with citations
|
||||
|
||||
## Examples
|
||||
```
|
||||
/sc:research "latest developments in quantum computing 2024"
|
||||
/sc:research "competitive analysis of AI coding assistants" --depth deep
|
||||
/sc:research "best practices for distributed systems" --strategy unified
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
**Will**: Current information, intelligent search, evidence-based analysis
|
||||
**Won't**: Make claims without sources, skip validation, access restricted content
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**STOP AFTER RESEARCH REPORT**
|
||||
|
||||
This command produces a RESEARCH REPORT ONLY - no implementation.
|
||||
|
||||
**Explicitly Will NOT**:
|
||||
- Implement findings or recommendations
|
||||
- Write code based on research
|
||||
- Make architectural decisions
|
||||
- Create system changes based on research
|
||||
|
||||
**Output**: Research report (`claudedocs/research_*.md`) containing:
|
||||
- Findings with sources
|
||||
- Evidence-based analysis
|
||||
- Recommendations (for human decision)
|
||||
- Cited references
|
||||
|
||||
**Next Step**: After research completes, user decides next action. Use `/sc:design` for architecture or `/sc:implement` for coding.
|
||||
93
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/save.md
Normal file
93
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/save.md
Normal file
@@ -0,0 +1,93 @@
|
||||
---
|
||||
name: save
|
||||
description: "Session lifecycle management with Serena MCP integration for session context persistence"
|
||||
category: session
|
||||
complexity: standard
|
||||
mcp-servers: [serena]
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:save - Session Context Persistence
|
||||
|
||||
## Triggers
|
||||
- Session completion and project context persistence needs
|
||||
- Cross-session memory management and checkpoint creation requests
|
||||
- Project understanding preservation and discovery archival scenarios
|
||||
- Session lifecycle management and progress tracking requirements
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:save [--type session|learnings|context|all] [--summarize] [--checkpoint]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine session progress and identify discoveries worth preserving
|
||||
2. **Persist**: Save session context and learnings using Serena MCP memory management
|
||||
3. **Checkpoint**: Create recovery points for complex sessions and progress tracking
|
||||
4. **Validate**: Ensure session data integrity and cross-session compatibility
|
||||
5. **Prepare**: Ready session context for seamless continuation in future sessions
|
||||
|
||||
Key behaviors:
|
||||
- Serena MCP integration for memory management and cross-session persistence
|
||||
- Automatic checkpoint creation based on session progress and critical tasks
|
||||
- Session context preservation with comprehensive discovery and pattern archival
|
||||
- Cross-session learning with accumulated project insights and technical decisions
|
||||
|
||||
## MCP Integration
|
||||
- **Serena MCP**: Mandatory integration for session management, memory operations, and cross-session persistence
|
||||
- **Memory Operations**: Session context storage, checkpoint creation, and discovery archival
|
||||
- **Performance Critical**: <200ms for memory operations, <1s for checkpoint creation
|
||||
|
||||
## Tool Coordination
|
||||
- **write_memory/read_memory**: Core session context persistence and retrieval
|
||||
- **think_about_collected_information**: Session analysis and discovery identification
|
||||
- **summarize_changes**: Session summary generation and progress documentation
|
||||
- **TodoRead**: Task completion tracking for automatic checkpoint triggers
|
||||
|
||||
## Key Patterns
|
||||
- **Session Preservation**: Discovery analysis → memory persistence → checkpoint creation
|
||||
- **Cross-Session Learning**: Context accumulation → pattern archival → enhanced project understanding
|
||||
- **Progress Tracking**: Task completion → automatic checkpoints → session continuity
|
||||
- **Recovery Planning**: State preservation → checkpoint validation → restoration readiness
|
||||
|
||||
## Examples
|
||||
|
||||
### Basic Session Save
|
||||
```
|
||||
/sc:save
|
||||
# Saves current session discoveries and context to Serena MCP
|
||||
# Automatically creates checkpoint if session exceeds 30 minutes
|
||||
```
|
||||
|
||||
### Comprehensive Session Checkpoint
|
||||
```
|
||||
/sc:save --type all --checkpoint
|
||||
# Complete session preservation with recovery checkpoint
|
||||
# Includes all learnings, context, and progress for session restoration
|
||||
```
|
||||
|
||||
### Session Summary Generation
|
||||
```
|
||||
/sc:save --summarize
|
||||
# Creates session summary with discovery documentation
|
||||
# Updates cross-session learning patterns and project insights
|
||||
```
|
||||
|
||||
### Discovery-Only Persistence
|
||||
```
|
||||
/sc:save --type learnings
|
||||
# Saves only new patterns and insights discovered during session
|
||||
# Updates project understanding without full session preservation
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Save session context using Serena MCP integration for cross-session persistence
|
||||
- Create automatic checkpoints based on session progress and task completion
|
||||
- Preserve discoveries and patterns for enhanced project understanding
|
||||
|
||||
**Will Not:**
|
||||
- Operate without proper Serena MCP integration and memory access
|
||||
- Save session data without validation and integrity verification
|
||||
- Override existing session context without proper checkpoint preservation
|
||||
130
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/sc.md
Normal file
130
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/sc.md
Normal file
@@ -0,0 +1,130 @@
|
||||
---
|
||||
name: sc
|
||||
description: SuperClaude command dispatcher - Use /sc [command] to access all SuperClaude features
|
||||
---
|
||||
|
||||
# SuperClaude Command Dispatcher
|
||||
|
||||
🚀 **SuperClaude Framework** - Main command dispatcher
|
||||
|
||||
## Usage
|
||||
|
||||
All SuperClaude commands use the `/sc:` prefix:
|
||||
|
||||
```
|
||||
/sc:command [args...]
|
||||
```
|
||||
|
||||
## Available Commands
|
||||
|
||||
### Research & Analysis
|
||||
```
|
||||
/sc:research [query] - Deep web research with parallel search
|
||||
```
|
||||
|
||||
### Repository Management
|
||||
```
|
||||
/sc:index-repo - Index repository for context optimization
|
||||
```
|
||||
|
||||
### AI Agents
|
||||
```
|
||||
/sc:agent [type] - Launch specialized AI agents
|
||||
```
|
||||
|
||||
### Recommendations
|
||||
```
|
||||
/sc:recommend [context] - Get command recommendations
|
||||
```
|
||||
|
||||
### Help
|
||||
```
|
||||
/sc - Show this help (all available commands)
|
||||
```
|
||||
|
||||
## Command Namespace
|
||||
|
||||
All commands are namespaced under `sc:` to keep them organized:
|
||||
- ✅ `/sc:research query`
|
||||
- ✅ `/sc:index-repo`
|
||||
- ✅ `/sc:agent type`
|
||||
- ✅ `/sc:recommend`
|
||||
- ✅ `/sc` (help)
|
||||
|
||||
## Examples
|
||||
|
||||
### Research
|
||||
```
|
||||
/sc:research React 18 new features
|
||||
/sc:research LLM agent architectures 2024
|
||||
/sc:research Python async best practices
|
||||
```
|
||||
|
||||
### Index Repository
|
||||
```
|
||||
/sc:index-repo
|
||||
```
|
||||
|
||||
### Agent
|
||||
```
|
||||
/sc:agent deep-research
|
||||
/sc:agent self-review
|
||||
/sc:agent repo-index
|
||||
```
|
||||
|
||||
### Recommendations
|
||||
```
|
||||
/sc:recommend
|
||||
```
|
||||
|
||||
## Quick Reference
|
||||
|
||||
| Command | Description | Example |
|
||||
|---------|-------------|---------|
|
||||
| `/sc:research` | Deep web research | `/sc:research topic` |
|
||||
| `/sc:index-repo` | Repository indexing | `/sc:index-repo` |
|
||||
| `/sc:agent` | Specialized AI agents | `/sc:agent type` |
|
||||
| `/sc:recommend` | Command suggestions | `/sc:recommend` |
|
||||
| `/sc` | Show help | `/sc` |
|
||||
|
||||
## Features
|
||||
|
||||
- **Parallel Execution**: Research runs multiple searches in parallel
|
||||
- **Evidence-Based**: All findings backed by sources
|
||||
- **Context-Aware**: Uses repository context when available
|
||||
- **Token Efficient**: Optimized for minimal token usage
|
||||
|
||||
## Help
|
||||
|
||||
For help on specific commands:
|
||||
```
|
||||
/sc:research --help
|
||||
/sc:agent --help
|
||||
```
|
||||
|
||||
Or use the main help command:
|
||||
```
|
||||
/sc
|
||||
```
|
||||
|
||||
Check the documentation:
|
||||
- PLANNING.md - Architecture and design
|
||||
- TASK.md - Current tasks and priorities
|
||||
- KNOWLEDGE.md - Tips and best practices
|
||||
|
||||
## Version
|
||||
|
||||
SuperClaude v4.1.7
|
||||
- Python package: 0.4.0
|
||||
- Pytest plugin included
|
||||
- PM Agent patterns enabled
|
||||
|
||||
---
|
||||
|
||||
💡 **Tip**: All commands use the `/sc:` prefix - e.g., `/sc:research`, `/sc:agent`
|
||||
|
||||
🔧 **Installation**: Run `superclaude install` to install/update commands
|
||||
|
||||
📚 **Documentation**: https://github.com/SuperClaude-Org/SuperClaude_Framework
|
||||
|
||||
⚠️ **Important**: Restart Claude Code after installing commands to use them!
|
||||
@@ -0,0 +1,87 @@
|
||||
---
|
||||
name: select-tool
|
||||
description: "Intelligent MCP tool selection based on complexity scoring and operation analysis"
|
||||
category: special
|
||||
complexity: high
|
||||
mcp-servers: [serena, morphllm]
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:select-tool - Intelligent MCP Tool Selection
|
||||
|
||||
## Triggers
|
||||
- Operations requiring optimal MCP tool selection between Serena and Morphllm
|
||||
- Meta-system decisions needing complexity analysis and capability matching
|
||||
- Tool routing decisions requiring performance vs accuracy trade-offs
|
||||
- Operations benefiting from intelligent tool capability assessment
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:select-tool [operation] [--analyze] [--explain]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Parse**: Analyze operation type, scope, file count, and complexity indicators
|
||||
2. **Score**: Apply multi-dimensional complexity scoring across various operation factors
|
||||
3. **Match**: Compare operation requirements against Serena and Morphllm capabilities
|
||||
4. **Select**: Choose optimal tool based on scoring matrix and performance requirements
|
||||
5. **Validate**: Verify selection accuracy and provide confidence metrics
|
||||
|
||||
Key behaviors:
|
||||
- Complexity scoring based on file count, operation type, language, and framework requirements
|
||||
- Performance assessment evaluating speed vs accuracy trade-offs for optimal selection
|
||||
- Decision logic matrix with direct mappings and threshold-based routing rules
|
||||
- Tool capability matching for Serena (semantic operations) vs Morphllm (pattern operations)
|
||||
|
||||
## MCP Integration
|
||||
- **Serena MCP**: Optimal for semantic operations, LSP functionality, symbol navigation, and project context
|
||||
- **Morphllm MCP**: Optimal for pattern-based edits, bulk transformations, and speed-critical operations
|
||||
- **Decision Matrix**: Intelligent routing based on complexity scoring and operation characteristics
|
||||
|
||||
## Tool Coordination
|
||||
- **get_current_config**: System configuration analysis for tool capability assessment
|
||||
- **execute_sketched_edit**: Operation testing and validation for selection accuracy
|
||||
- **Read/Grep**: Operation context analysis and complexity factor identification
|
||||
- **Integration**: Automatic selection logic used by refactor, edit, implement, and improve commands
|
||||
|
||||
## Key Patterns
|
||||
- **Direct Mapping**: Symbol operations → Serena, Pattern edits → Morphllm, Memory operations → Serena
|
||||
- **Complexity Thresholds**: Score >0.6 → Serena, Score <0.4 → Morphllm, 0.4-0.6 → Feature-based
|
||||
- **Performance Trade-offs**: Speed requirements → Morphllm, Accuracy requirements → Serena
|
||||
- **Fallback Strategy**: Serena → Morphllm → Native tools degradation chain
|
||||
|
||||
## Examples
|
||||
|
||||
### Complex Refactoring Operation
|
||||
```
|
||||
/sc:select-tool "rename function across 10 files" --analyze
|
||||
# Analysis: High complexity (multi-file, symbol operations)
|
||||
# Selection: Serena MCP (LSP capabilities, semantic understanding)
|
||||
```
|
||||
|
||||
### Pattern-Based Bulk Edit
|
||||
```
|
||||
/sc:select-tool "update console.log to logger.info across project" --explain
|
||||
# Analysis: Pattern-based transformation, speed priority
|
||||
# Selection: Morphllm MCP (pattern matching, bulk operations)
|
||||
```
|
||||
|
||||
### Memory Management Operation
|
||||
```
|
||||
/sc:select-tool "save project context and discoveries"
|
||||
# Direct mapping: Memory operations → Serena MCP
|
||||
# Rationale: Project context and cross-session persistence
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Analyze operations and provide optimal tool selection between Serena and Morphllm
|
||||
- Apply complexity scoring based on file count, operation type, and requirements
|
||||
- Provide sub-100ms decision time with >95% selection accuracy
|
||||
|
||||
**Will Not:**
|
||||
- Override explicit tool specifications when user has clear preference
|
||||
- Select tools without proper complexity analysis and capability matching
|
||||
- Compromise performance requirements for convenience or speed
|
||||
|
||||
105
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/spawn.md
Normal file
105
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/spawn.md
Normal file
@@ -0,0 +1,105 @@
|
||||
---
|
||||
name: spawn
|
||||
description: "Meta-system task orchestration with intelligent breakdown and delegation"
|
||||
category: special
|
||||
complexity: high
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:spawn - Meta-System Task Orchestration
|
||||
|
||||
## Triggers
|
||||
- Complex multi-domain operations requiring intelligent task breakdown
|
||||
- Large-scale system operations spanning multiple technical areas
|
||||
- Operations requiring parallel coordination and dependency management
|
||||
- Meta-level orchestration beyond standard command capabilities
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:spawn [complex-task] [--strategy sequential|parallel|adaptive] [--depth normal|deep]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Parse complex operation requirements and assess scope across domains
|
||||
2. **Decompose**: Break down operation into coordinated subtask hierarchies
|
||||
3. **Orchestrate**: Execute tasks using optimal coordination strategy (parallel/sequential)
|
||||
4. **Monitor**: Track progress across task hierarchies with dependency management
|
||||
5. **Integrate**: Aggregate results and provide comprehensive orchestration summary
|
||||
|
||||
Key behaviors:
|
||||
- Meta-system task decomposition with Epic → Story → Task → Subtask breakdown
|
||||
- Intelligent coordination strategy selection based on operation characteristics
|
||||
- Cross-domain operation management with parallel and sequential execution patterns
|
||||
- Advanced dependency analysis and resource optimization across task hierarchies
|
||||
## MCP Integration
|
||||
- **Native Orchestration**: Meta-system command uses native coordination without MCP dependencies
|
||||
- **Progressive Integration**: Coordination with systematic execution for progressive enhancement
|
||||
- **Framework Integration**: Advanced integration with SuperClaude orchestration layers
|
||||
|
||||
## Tool Coordination
|
||||
- **TodoWrite**: Hierarchical task breakdown and progress tracking across Epic → Story → Task levels
|
||||
- **Read/Grep/Glob**: System analysis and dependency mapping for complex operations
|
||||
- **Edit/MultiEdit/Write**: Coordinated file operations with parallel and sequential execution
|
||||
- **Bash**: System-level operations coordination with intelligent resource management
|
||||
|
||||
## Key Patterns
|
||||
- **Hierarchical Breakdown**: Epic-level operations → Story coordination → Task execution → Subtask granularity
|
||||
- **Strategy Selection**: Sequential (dependency-ordered) → Parallel (independent) → Adaptive (dynamic)
|
||||
- **Meta-System Coordination**: Cross-domain operations → resource optimization → result integration
|
||||
- **Progressive Enhancement**: Systematic execution → quality gates → comprehensive validation
|
||||
|
||||
## Examples
|
||||
|
||||
### Complex Feature Implementation
|
||||
```
|
||||
/sc:spawn "implement user authentication system"
|
||||
# Breakdown: Database design → Backend API → Frontend UI → Testing
|
||||
# Coordinates across multiple domains with dependency management
|
||||
```
|
||||
|
||||
### Large-Scale System Operation
|
||||
```
|
||||
/sc:spawn "migrate legacy monolith to microservices" --strategy adaptive --depth deep
|
||||
# Enterprise-scale operation with sophisticated orchestration
|
||||
# Adaptive coordination based on operation characteristics
|
||||
```
|
||||
|
||||
### Cross-Domain Infrastructure
|
||||
```
|
||||
/sc:spawn "establish CI/CD pipeline with security scanning"
|
||||
# System-wide infrastructure operation spanning DevOps, Security, Quality domains
|
||||
# Parallel execution of independent components with validation gates
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Decompose complex multi-domain operations into coordinated task hierarchies
|
||||
- Provide intelligent orchestration with parallel and sequential coordination strategies
|
||||
- Execute meta-system operations beyond standard command capabilities
|
||||
|
||||
**Will Not:**
|
||||
- Replace domain-specific commands for simple operations
|
||||
- Override user coordination preferences or execution strategies
|
||||
- Execute operations without proper dependency analysis and validation
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**STOP AFTER TASK DECOMPOSITION**
|
||||
|
||||
This command produces a TASK HIERARCHY ONLY - delegates execution to other commands.
|
||||
|
||||
**Explicitly Will NOT**:
|
||||
- Execute implementation tasks directly
|
||||
- Write or modify code
|
||||
- Create system changes
|
||||
- Replace domain-specific commands
|
||||
|
||||
**Output**: Task breakdown document with:
|
||||
- Epic decomposition
|
||||
- Task hierarchy with dependencies
|
||||
- Delegation assignments (which `/sc:*` command handles each task)
|
||||
- Coordination strategy
|
||||
|
||||
**Next Step**: Execute individual tasks using delegated commands (`/sc:implement`, `/sc:design`, `/sc:test`, etc.)
|
||||
436
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/spec-panel.md
Normal file
436
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/spec-panel.md
Normal file
@@ -0,0 +1,436 @@
|
||||
---
|
||||
name: spec-panel
|
||||
description: "Multi-expert specification review and improvement using renowned specification and software engineering experts"
|
||||
category: analysis
|
||||
complexity: enhanced
|
||||
mcp-servers: [sequential, context7]
|
||||
personas: [technical-writer, system-architect, quality-engineer]
|
||||
---
|
||||
|
||||
# /sc:spec-panel - Expert Specification Review Panel
|
||||
|
||||
## Triggers
|
||||
- Specification quality review and improvement requests
|
||||
- Technical documentation validation and enhancement needs
|
||||
- Requirements analysis and completeness verification
|
||||
- Professional specification writing guidance and mentoring
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:spec-panel [specification_content|@file] [--mode discussion|critique|socratic] [--experts "name1,name2"] [--focus requirements|architecture|testing|compliance] [--iterations N] [--format standard|structured|detailed]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Parse specification content and identify key components, gaps, and quality issues
|
||||
2. **Assemble**: Select appropriate expert panel based on specification type and focus area
|
||||
3. **Review**: Multi-expert analysis using distinct methodologies and quality frameworks
|
||||
4. **Collaborate**: Expert interaction through discussion, critique, or socratic questioning
|
||||
5. **Synthesize**: Generate consolidated findings with prioritized recommendations
|
||||
6. **Improve**: Create enhanced specification incorporating expert feedback and best practices
|
||||
|
||||
Key behaviors:
|
||||
- Multi-expert perspective analysis with distinct methodologies and quality frameworks
|
||||
- Intelligent expert selection based on specification domain and focus requirements
|
||||
- Structured review process with evidence-based recommendations and improvement guidance
|
||||
- Iterative improvement cycles with quality validation and progress tracking
|
||||
|
||||
## Expert Panel System
|
||||
|
||||
### Core Specification Experts
|
||||
|
||||
**Karl Wiegers** - Requirements Engineering Pioneer
|
||||
- **Domain**: Functional/non-functional requirements, requirement quality frameworks
|
||||
- **Methodology**: SMART criteria, testability analysis, stakeholder validation
|
||||
- **Critique Focus**: "This requirement lacks measurable acceptance criteria. How would you validate compliance in production?"
|
||||
|
||||
**Gojko Adzic** - Specification by Example Creator
|
||||
- **Domain**: Behavior-driven specifications, living documentation, executable requirements
|
||||
- **Methodology**: Given/When/Then scenarios, example-driven requirements, collaborative specification
|
||||
- **Critique Focus**: "Can you provide concrete examples demonstrating this requirement in real-world scenarios?"
|
||||
|
||||
**Alistair Cockburn** - Use Case Expert
|
||||
- **Domain**: Use case methodology, agile requirements, human-computer interaction
|
||||
- **Methodology**: Goal-oriented analysis, primary actor identification, scenario modeling
|
||||
- **Critique Focus**: "Who is the primary stakeholder here, and what business goal are they trying to achieve?"
|
||||
|
||||
**Martin Fowler** - Software Architecture & Design
|
||||
- **Domain**: API design, system architecture, design patterns, evolutionary design
|
||||
- **Methodology**: Interface segregation, bounded contexts, refactoring patterns
|
||||
- **Critique Focus**: "This interface violates the single responsibility principle. Consider separating concerns."
|
||||
|
||||
### Technical Architecture Experts
|
||||
|
||||
**Michael Nygard** - Release It! Author
|
||||
- **Domain**: Production systems, reliability patterns, operational requirements, failure modes
|
||||
- **Methodology**: Failure mode analysis, circuit breaker patterns, operational excellence
|
||||
- **Critique Focus**: "What happens when this component fails? Where are the monitoring and recovery mechanisms?"
|
||||
|
||||
**Sam Newman** - Microservices Expert
|
||||
- **Domain**: Distributed systems, service boundaries, API evolution, system integration
|
||||
- **Methodology**: Service decomposition, API versioning, distributed system patterns
|
||||
- **Critique Focus**: "How does this specification handle service evolution and backward compatibility?"
|
||||
|
||||
**Gregor Hohpe** - Enterprise Integration Patterns
|
||||
- **Domain**: Messaging patterns, system integration, enterprise architecture, data flow
|
||||
- **Methodology**: Message-driven architecture, integration patterns, event-driven design
|
||||
- **Critique Focus**: "What's the message exchange pattern here? How do you handle ordering and delivery guarantees?"
|
||||
|
||||
### Quality & Testing Experts
|
||||
|
||||
**Lisa Crispin** - Agile Testing Expert
|
||||
- **Domain**: Testing strategies, quality requirements, acceptance criteria, test automation
|
||||
- **Methodology**: Whole-team testing, risk-based testing, quality attribute specification
|
||||
- **Critique Focus**: "How would the testing team validate this requirement? What are the edge cases and failure scenarios?"
|
||||
|
||||
**Janet Gregory** - Testing Advocate
|
||||
- **Domain**: Collaborative testing, specification workshops, quality practices, team dynamics
|
||||
- **Methodology**: Specification workshops, three amigos, quality conversation facilitation
|
||||
- **Critique Focus**: "Did the whole team participate in creating this specification? Are quality expectations clearly defined?"
|
||||
|
||||
### Modern Software Experts
|
||||
|
||||
**Kelsey Hightower** - Cloud Native Expert
|
||||
- **Domain**: Kubernetes, cloud architecture, operational excellence, infrastructure as code
|
||||
- **Methodology**: Cloud-native patterns, infrastructure automation, operational observability
|
||||
- **Critique Focus**: "How does this specification handle cloud-native deployment and operational concerns?"
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Primary engine for expert panel coordination, structured analysis, and iterative improvement
|
||||
- **Context7 MCP**: Auto-activated for specification patterns, documentation standards, and industry best practices
|
||||
- **Technical Writer Persona**: Activated for professional specification writing and documentation quality
|
||||
- **System Architect Persona**: Activated for architectural analysis and system design validation
|
||||
- **Quality Engineer Persona**: Activated for quality assessment and testing strategy validation
|
||||
|
||||
## Analysis Modes
|
||||
|
||||
### Discussion Mode (`--mode discussion`)
|
||||
**Purpose**: Collaborative improvement through expert dialogue and knowledge sharing
|
||||
|
||||
**Expert Interaction Pattern**:
|
||||
- Sequential expert commentary building upon previous insights
|
||||
- Cross-expert validation and refinement of recommendations
|
||||
- Consensus building around critical improvements
|
||||
- Collaborative solution development
|
||||
|
||||
**Example Output**:
|
||||
```
|
||||
KARL WIEGERS: "The requirement 'SHALL handle failures gracefully' lacks specificity.
|
||||
What constitutes graceful handling? What types of failures are we addressing?"
|
||||
|
||||
MICHAEL NYGARD: "Building on Karl's point, we need specific failure modes: network
|
||||
timeouts, service unavailable, rate limiting. Each requires different handling strategies."
|
||||
|
||||
GOJKO ADZIC: "Let's make this concrete with examples:
|
||||
Given: Service timeout after 30 seconds
|
||||
When: Circuit breaker activates
|
||||
Then: Return cached response within 100ms"
|
||||
|
||||
MARTIN FOWLER: "The specification should also define the failure notification interface.
|
||||
How do upstream services know what type of failure occurred?"
|
||||
```
|
||||
|
||||
### Critique Mode (`--mode critique`)
|
||||
**Purpose**: Systematic review with specific improvement suggestions and priority rankings
|
||||
|
||||
**Analysis Structure**:
|
||||
- Issue identification with severity classification
|
||||
- Specific improvement recommendations with rationale
|
||||
- Priority ranking based on impact and effort
|
||||
- Quality metrics and validation criteria
|
||||
|
||||
**Example Output**:
|
||||
```
|
||||
=== REQUIREMENTS ANALYSIS ===
|
||||
|
||||
KARL WIEGERS - Requirements Quality Assessment:
|
||||
❌ CRITICAL: Requirement R-001 lacks measurable acceptance criteria
|
||||
📝 RECOMMENDATION: Replace "handle failures gracefully" with "open circuit breaker after 5 consecutive failures within 30 seconds"
|
||||
🎯 PRIORITY: High - Affects testability and validation
|
||||
📊 QUALITY IMPACT: +40% testability, +60% clarity
|
||||
|
||||
GOJKO ADZIC - Specification Testability:
|
||||
⚠️ MAJOR: No executable examples provided for complex behaviors
|
||||
📝 RECOMMENDATION: Add Given/When/Then scenarios for each requirement
|
||||
🎯 PRIORITY: Medium - Improves understanding and validation
|
||||
📊 QUALITY IMPACT: +50% comprehensibility, +35% validation coverage
|
||||
|
||||
=== ARCHITECTURE ANALYSIS ===
|
||||
|
||||
MARTIN FOWLER - Interface Design:
|
||||
⚠️ MINOR: CircuitBreaker interface couples state management with execution logic
|
||||
📝 RECOMMENDATION: Separate CircuitBreakerState from CircuitBreakerExecutor
|
||||
🎯 PRIORITY: Low - Design improvement, not functional issue
|
||||
📊 QUALITY IMPACT: +20% maintainability, +15% testability
|
||||
```
|
||||
|
||||
### Socratic Mode (`--mode socratic`)
|
||||
**Purpose**: Learning-focused questioning to deepen understanding and improve thinking
|
||||
|
||||
**Question Categories**:
|
||||
- Foundational understanding questions
|
||||
- Stakeholder and purpose clarification
|
||||
- Assumption identification and validation
|
||||
- Alternative approach exploration
|
||||
|
||||
**Example Output**:
|
||||
```
|
||||
ALISTAIR COCKBURN: "What is the fundamental problem this specification is trying to solve?"
|
||||
|
||||
KARL WIEGERS: "Who are the primary stakeholders affected by these requirements?"
|
||||
|
||||
MICHAEL NYGARD: "What assumptions are you making about the deployment environment and operational context?"
|
||||
|
||||
GOJKO ADZIC: "How would you explain these requirements to a non-technical business stakeholder?"
|
||||
|
||||
MARTIN FOWLER: "What would happen if we removed this requirement entirely? What breaks?"
|
||||
|
||||
LISA CRISPIN: "How would you validate that this specification is working correctly in production?"
|
||||
|
||||
KELSEY HIGHTOWER: "What operational and monitoring capabilities does this specification require?"
|
||||
```
|
||||
|
||||
## Focus Areas
|
||||
|
||||
### Requirements Focus (`--focus requirements`)
|
||||
**Expert Panel**: Wiegers (lead), Adzic, Cockburn
|
||||
**Analysis Areas**:
|
||||
- Requirement clarity, completeness, and consistency
|
||||
- Testability and measurability assessment
|
||||
- Stakeholder needs alignment and validation
|
||||
- Acceptance criteria quality and coverage
|
||||
- Requirements traceability and verification
|
||||
|
||||
### Architecture Focus (`--focus architecture`)
|
||||
**Expert Panel**: Fowler (lead), Newman, Hohpe, Nygard
|
||||
**Analysis Areas**:
|
||||
- Interface design quality and consistency
|
||||
- System boundary definitions and service decomposition
|
||||
- Scalability and maintainability characteristics
|
||||
- Design pattern appropriateness and implementation
|
||||
- Integration and communication specifications
|
||||
|
||||
### Testing Focus (`--focus testing`)
|
||||
**Expert Panel**: Crispin (lead), Gregory, Adzic
|
||||
**Analysis Areas**:
|
||||
- Test strategy and coverage requirements
|
||||
- Quality attribute specifications and validation
|
||||
- Edge case identification and handling
|
||||
- Acceptance criteria and definition of done
|
||||
- Test automation and continuous validation
|
||||
|
||||
### Compliance Focus (`--focus compliance`)
|
||||
**Expert Panel**: Wiegers (lead), Nygard, Hightower
|
||||
**Analysis Areas**:
|
||||
- Regulatory requirement coverage and validation
|
||||
- Security specifications and threat modeling
|
||||
- Operational requirements and observability
|
||||
- Audit trail and compliance verification
|
||||
- Risk assessment and mitigation strategies
|
||||
|
||||
## Tool Coordination
|
||||
- **Read**: Specification content analysis and parsing
|
||||
- **Sequential**: Expert panel coordination and iterative analysis
|
||||
- **Context7**: Specification patterns and industry best practices
|
||||
- **Grep**: Cross-reference validation and consistency checking
|
||||
- **Write**: Improved specification generation and report creation
|
||||
- **MultiEdit**: Collaborative specification enhancement and refinement
|
||||
|
||||
## Iterative Improvement Process
|
||||
|
||||
### Single Iteration (Default)
|
||||
1. **Initial Analysis**: Expert panel reviews specification
|
||||
2. **Issue Identification**: Systematic problem and gap identification
|
||||
3. **Improvement Recommendations**: Specific, actionable enhancement suggestions
|
||||
4. **Priority Ranking**: Critical path and impact-based prioritization
|
||||
|
||||
### Multi-Iteration (`--iterations N`)
|
||||
**Iteration 1**: Structural and fundamental issues
|
||||
- Requirements clarity and completeness
|
||||
- Architecture consistency and boundaries
|
||||
- Major gaps and critical problems
|
||||
|
||||
**Iteration 2**: Detail refinement and enhancement
|
||||
- Specific improvement implementation
|
||||
- Edge case handling and error scenarios
|
||||
- Quality attribute specifications
|
||||
|
||||
**Iteration 3**: Polish and optimization
|
||||
- Documentation quality and clarity
|
||||
- Example and scenario enhancement
|
||||
- Final validation and consistency checks
|
||||
|
||||
## Output Formats
|
||||
|
||||
### Standard Format (`--format standard`)
|
||||
```yaml
|
||||
specification_review:
|
||||
original_spec: "authentication_service.spec.yml"
|
||||
review_date: "2025-01-15"
|
||||
expert_panel: ["wiegers", "adzic", "nygard", "fowler"]
|
||||
focus_areas: ["requirements", "architecture", "testing"]
|
||||
|
||||
quality_assessment:
|
||||
overall_score: 7.2/10
|
||||
requirements_quality: 8.1/10
|
||||
architecture_clarity: 6.8/10
|
||||
testability_score: 7.5/10
|
||||
|
||||
critical_issues:
|
||||
- category: "requirements"
|
||||
severity: "high"
|
||||
expert: "wiegers"
|
||||
issue: "Authentication timeout not specified"
|
||||
recommendation: "Define session timeout with configurable values"
|
||||
|
||||
- category: "architecture"
|
||||
severity: "medium"
|
||||
expert: "fowler"
|
||||
issue: "Token refresh mechanism unclear"
|
||||
recommendation: "Specify refresh token lifecycle and rotation policy"
|
||||
|
||||
expert_consensus:
|
||||
- "Specification needs concrete failure handling definitions"
|
||||
- "Missing operational monitoring and alerting requirements"
|
||||
- "Authentication flow is well-defined but lacks error scenarios"
|
||||
|
||||
improvement_roadmap:
|
||||
immediate: ["Define timeout specifications", "Add error handling scenarios"]
|
||||
short_term: ["Specify monitoring requirements", "Add performance criteria"]
|
||||
long_term: ["Comprehensive security review", "Integration testing strategy"]
|
||||
```
|
||||
|
||||
### Structured Format (`--format structured`)
|
||||
Token-efficient format using SuperClaude symbol system for concise communication.
|
||||
|
||||
### Detailed Format (`--format detailed`)
|
||||
Comprehensive analysis with full expert commentary, examples, and implementation guidance.
|
||||
|
||||
## Examples
|
||||
|
||||
### API Specification Review
|
||||
```
|
||||
/sc:spec-panel @auth_api.spec.yml --mode critique --focus requirements,architecture
|
||||
# Comprehensive API specification review
|
||||
# Focus on requirements quality and architectural consistency
|
||||
# Generate detailed improvement recommendations
|
||||
```
|
||||
|
||||
### Requirements Workshop
|
||||
```
|
||||
/sc:spec-panel "user story content" --mode discussion --experts "wiegers,adzic,cockburn"
|
||||
# Collaborative requirements analysis and improvement
|
||||
# Expert dialogue for requirement refinement
|
||||
# Consensus building around acceptance criteria
|
||||
```
|
||||
|
||||
### Architecture Validation
|
||||
```
|
||||
/sc:spec-panel @microservice.spec.yml --mode socratic --focus architecture
|
||||
# Learning-focused architectural review
|
||||
# Deep questioning about design decisions
|
||||
# Alternative approach exploration
|
||||
```
|
||||
|
||||
### Iterative Improvement
|
||||
```
|
||||
/sc:spec-panel @complex_system.spec.yml --iterations 3 --format detailed
|
||||
# Multi-iteration improvement process
|
||||
# Progressive refinement with expert guidance
|
||||
# Comprehensive quality enhancement
|
||||
```
|
||||
|
||||
### Compliance Review
|
||||
```
|
||||
/sc:spec-panel @security_requirements.yml --focus compliance --experts "wiegers,nygard"
|
||||
# Compliance and security specification review
|
||||
# Regulatory requirement validation
|
||||
# Risk assessment and mitigation planning
|
||||
```
|
||||
|
||||
## Integration Patterns
|
||||
|
||||
### Workflow Integration with /sc:code-to-spec
|
||||
```bash
|
||||
# Generate initial specification from code
|
||||
/sc:code-to-spec ./authentication_service --type api --format yaml
|
||||
|
||||
# Review and improve with expert panel
|
||||
/sc:spec-panel @generated_auth_spec.yml --mode critique --focus requirements,testing
|
||||
|
||||
# Iterative refinement based on feedback
|
||||
/sc:spec-panel @improved_auth_spec.yml --mode discussion --iterations 2
|
||||
```
|
||||
|
||||
### Learning and Development Workflow
|
||||
```bash
|
||||
# Start with socratic mode for learning
|
||||
/sc:spec-panel @my_first_spec.yml --mode socratic --iterations 2
|
||||
|
||||
# Apply learnings with discussion mode
|
||||
/sc:spec-panel @revised_spec.yml --mode discussion --focus requirements
|
||||
|
||||
# Final quality validation with critique mode
|
||||
/sc:spec-panel @final_spec.yml --mode critique --format detailed
|
||||
```
|
||||
|
||||
## Quality Assurance Features
|
||||
|
||||
### Expert Validation
|
||||
- Cross-expert consistency checking and validation
|
||||
- Methodology alignment and best practice verification
|
||||
- Quality metric calculation and progress tracking
|
||||
- Recommendation prioritization and impact assessment
|
||||
|
||||
### Specification Quality Metrics
|
||||
- **Clarity Score**: Language precision and understandability (0-10)
|
||||
- **Completeness Score**: Coverage of essential specification elements (0-10)
|
||||
- **Testability Score**: Measurability and validation capability (0-10)
|
||||
- **Consistency Score**: Internal coherence and contradiction detection (0-10)
|
||||
|
||||
### Continuous Improvement
|
||||
- Pattern recognition from successful improvements
|
||||
- Expert recommendation effectiveness tracking
|
||||
- Specification quality trend analysis
|
||||
- Best practice pattern library development
|
||||
|
||||
## Advanced Features
|
||||
|
||||
### Custom Expert Panels
|
||||
- Domain-specific expert selection and configuration
|
||||
- Industry-specific methodology application
|
||||
- Custom quality criteria and assessment frameworks
|
||||
- Specialized review processes for unique requirements
|
||||
|
||||
### Integration with Development Workflow
|
||||
- CI/CD pipeline integration for specification validation
|
||||
- Version control integration for specification evolution tracking
|
||||
- IDE integration for inline specification quality feedback
|
||||
- Automated quality gate enforcement and validation
|
||||
|
||||
### Learning and Mentoring
|
||||
- Progressive skill development tracking and guidance
|
||||
- Specification writing pattern recognition and teaching
|
||||
- Best practice library development and sharing
|
||||
- Mentoring mode with educational focus and guidance
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Provide expert-level specification review and improvement guidance
|
||||
- Generate specific, actionable recommendations with priority rankings
|
||||
- Support multiple analysis modes for different use cases and learning objectives
|
||||
- Integrate with specification generation tools for comprehensive workflow support
|
||||
|
||||
**Will Not:**
|
||||
- Replace human judgment and domain expertise in critical decisions
|
||||
- Modify specifications without explicit user consent and validation
|
||||
- Generate specifications from scratch without existing content or context
|
||||
- Provide legal or regulatory compliance guarantees beyond analysis guidance
|
||||
|
||||
**Output**: Expert review document containing:
|
||||
- Multi-expert analysis (10 simulated experts)
|
||||
- Specific, actionable recommendations
|
||||
- Consensus points and disagreements
|
||||
- Priority-ranked improvements
|
||||
|
||||
**Next Step**: After review, incorporate feedback into spec, then use `/sc:design` for architecture or `/sc:implement` for coding.
|
||||
116
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/task.md
Normal file
116
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/task.md
Normal file
@@ -0,0 +1,116 @@
|
||||
---
|
||||
name: task
|
||||
description: "Execute complex tasks with intelligent workflow management and delegation"
|
||||
category: special
|
||||
complexity: advanced
|
||||
mcp-servers: [sequential, context7, magic, playwright, morphllm, serena]
|
||||
personas: [architect, analyzer, frontend, backend, security, devops, project-manager]
|
||||
---
|
||||
|
||||
# /sc:task - Enhanced Task Management
|
||||
|
||||
## Triggers
|
||||
- Complex tasks requiring multi-agent coordination and delegation
|
||||
- Projects needing structured workflow management and cross-session persistence
|
||||
- Operations requiring intelligent MCP server routing and domain expertise
|
||||
- Tasks benefiting from systematic execution and progressive enhancement
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:task [action] [target] [--strategy systematic|agile|enterprise] [--parallel] [--delegate]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Parse task requirements and determine optimal execution strategy
|
||||
2. **Delegate**: Route to appropriate MCP servers and activate relevant personas
|
||||
3. **Coordinate**: Execute tasks with intelligent workflow management and parallel processing
|
||||
4. **Validate**: Apply quality gates and comprehensive task completion verification
|
||||
5. **Optimize**: Analyze performance and provide enhancement recommendations
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona coordination across architect, frontend, backend, security, devops domains
|
||||
- Intelligent MCP server routing (Sequential, Context7, Magic, Playwright, Morphllm, Serena)
|
||||
- Systematic execution with progressive task enhancement and cross-session persistence
|
||||
- Advanced task delegation with hierarchical breakdown and dependency management
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Complex multi-step task analysis and systematic execution planning
|
||||
- **Context7 MCP**: Framework-specific patterns and implementation best practices
|
||||
- **Magic MCP**: UI/UX task coordination and design system integration
|
||||
- **Playwright MCP**: Testing workflow integration and validation automation
|
||||
- **Morphllm MCP**: Large-scale task transformation and pattern-based optimization
|
||||
- **Serena MCP**: Cross-session task persistence and project memory management
|
||||
|
||||
## Tool Coordination
|
||||
- **TodoWrite**: Hierarchical task breakdown and progress tracking across Epic → Story → Task levels
|
||||
- **Task**: Advanced delegation for complex multi-agent coordination and sub-task management
|
||||
- **Read/Write/Edit**: Task documentation and implementation coordination
|
||||
- **sequentialthinking**: Structured reasoning for complex task dependency analysis
|
||||
|
||||
## Key Patterns
|
||||
- **Task Hierarchy**: Epic-level objectives → Story coordination → Task execution → Subtask granularity
|
||||
- **Strategy Selection**: Systematic (comprehensive) → Agile (iterative) → Enterprise (governance)
|
||||
- **Multi-Agent Coordination**: Persona activation → MCP routing → parallel execution → result integration
|
||||
- **Cross-Session Management**: Task persistence → context continuity → progressive enhancement
|
||||
|
||||
## Examples
|
||||
|
||||
### Complex Feature Development
|
||||
```
|
||||
/sc:task create "enterprise authentication system" --strategy systematic --parallel
|
||||
# Comprehensive task breakdown with multi-domain coordination
|
||||
# Activates architect, security, backend, frontend personas
|
||||
```
|
||||
|
||||
### Agile Sprint Coordination
|
||||
```
|
||||
/sc:task execute "feature backlog" --strategy agile --delegate
|
||||
# Iterative task execution with intelligent delegation
|
||||
# Cross-session persistence for sprint continuity
|
||||
```
|
||||
|
||||
### Multi-Domain Integration
|
||||
```
|
||||
/sc:task execute "microservices platform" --strategy enterprise --parallel
|
||||
# Enterprise-scale coordination with compliance validation
|
||||
# Parallel execution across multiple technical domains
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Execute complex tasks with multi-agent coordination and intelligent delegation
|
||||
- Provide hierarchical task breakdown with cross-session persistence
|
||||
- Coordinate multiple MCP servers and personas for optimal task outcomes
|
||||
|
||||
**Will Not:**
|
||||
- Execute simple tasks that don't require advanced orchestration
|
||||
- Compromise quality standards for speed or convenience
|
||||
- Operate without proper validation and quality gates
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**USER-INVOKED DISCRETE TASK EXECUTION**
|
||||
|
||||
This command executes specific tasks when explicitly invoked by user.
|
||||
|
||||
**Difference from /sc:pm**:
|
||||
- `/sc:pm` = session-level orchestration (background monitoring, continuous)
|
||||
- `/sc:task` = user-invoked discrete execution (explicit start/end)
|
||||
|
||||
**Behavior**:
|
||||
- User invokes `/sc:task [description]`
|
||||
- Execute the specific task using multi-agent coordination
|
||||
- **STOP when task is complete** - do not continue to next tasks without user input
|
||||
|
||||
**Completion Criteria**:
|
||||
- Task objective achieved
|
||||
- All sub-tasks marked completed in TodoWrite
|
||||
- Validation passed
|
||||
|
||||
**Output**: Task completion report with:
|
||||
- What was accomplished
|
||||
- Files modified
|
||||
- Tests status (if applicable)
|
||||
|
||||
**Next Step**: User decides next action. May invoke another `/sc:task` or use specific commands.
|
||||
93
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/test.md
Normal file
93
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/test.md
Normal file
@@ -0,0 +1,93 @@
|
||||
---
|
||||
name: test
|
||||
description: "Execute tests with coverage analysis and automated quality reporting"
|
||||
category: utility
|
||||
complexity: enhanced
|
||||
mcp-servers: [playwright]
|
||||
personas: [qa-specialist]
|
||||
---
|
||||
|
||||
# /sc:test - Testing and Quality Assurance
|
||||
|
||||
## Triggers
|
||||
- Test execution requests for unit, integration, or e2e tests
|
||||
- Coverage analysis and quality gate validation needs
|
||||
- Continuous testing and watch mode scenarios
|
||||
- Test failure analysis and debugging requirements
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:test [target] [--type unit|integration|e2e|all] [--coverage] [--watch] [--fix]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Discover**: Categorize available tests using runner patterns and conventions
|
||||
2. **Configure**: Set up appropriate test environment and execution parameters
|
||||
3. **Execute**: Run tests with monitoring and real-time progress tracking
|
||||
4. **Analyze**: Generate coverage reports and failure diagnostics
|
||||
5. **Report**: Provide actionable recommendations and quality metrics
|
||||
|
||||
Key behaviors:
|
||||
- Auto-detect test framework and configuration
|
||||
- Generate comprehensive coverage reports with metrics
|
||||
- Activate Playwright MCP for e2e browser testing
|
||||
- Provide intelligent test failure analysis
|
||||
- Support continuous watch mode for development
|
||||
|
||||
## MCP Integration
|
||||
- **Playwright MCP**: Auto-activated for `--type e2e` browser testing
|
||||
- **QA Specialist Persona**: Activated for test analysis and quality assessment
|
||||
- **Enhanced Capabilities**: Cross-browser testing, visual validation, performance metrics
|
||||
|
||||
## Tool Coordination
|
||||
- **Bash**: Test runner execution and environment management
|
||||
- **Glob**: Test discovery and file pattern matching
|
||||
- **Grep**: Result parsing and failure analysis
|
||||
- **Write**: Coverage reports and test summaries
|
||||
|
||||
## Key Patterns
|
||||
- **Test Discovery**: Pattern-based categorization → appropriate runner selection
|
||||
- **Coverage Analysis**: Execution metrics → comprehensive coverage reporting
|
||||
- **E2E Testing**: Browser automation → cross-platform validation
|
||||
- **Watch Mode**: File monitoring → continuous test execution
|
||||
|
||||
## Examples
|
||||
|
||||
### Basic Test Execution
|
||||
```
|
||||
/sc:test
|
||||
# Discovers and runs all tests with standard configuration
|
||||
# Generates pass/fail summary and basic coverage
|
||||
```
|
||||
|
||||
### Targeted Coverage Analysis
|
||||
```
|
||||
/sc:test src/components --type unit --coverage
|
||||
# Unit tests for specific directory with detailed coverage metrics
|
||||
```
|
||||
|
||||
### Browser Testing
|
||||
```
|
||||
/sc:test --type e2e
|
||||
# Activates Playwright MCP for comprehensive browser testing
|
||||
# Cross-browser compatibility and visual validation
|
||||
```
|
||||
|
||||
### Development Watch Mode
|
||||
```
|
||||
/sc:test --watch --fix
|
||||
# Continuous testing with automatic simple failure fixes
|
||||
# Real-time feedback during development
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Execute existing test suites using project's configured test runner
|
||||
- Generate coverage reports and quality metrics
|
||||
- Provide intelligent test failure analysis with actionable recommendations
|
||||
|
||||
**Will Not:**
|
||||
- Generate test cases or modify test framework configuration
|
||||
- Execute tests requiring external services without proper setup
|
||||
- Make destructive changes to test files without explicit permission
|
||||
120
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/troubleshoot.md
Normal file
120
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/troubleshoot.md
Normal file
@@ -0,0 +1,120 @@
|
||||
---
|
||||
name: troubleshoot
|
||||
description: "Diagnose and resolve issues in code, builds, deployments, and system behavior"
|
||||
category: utility
|
||||
complexity: basic
|
||||
mcp-servers: []
|
||||
personas: []
|
||||
---
|
||||
|
||||
# /sc:troubleshoot - Issue Diagnosis and Resolution
|
||||
|
||||
## Triggers
|
||||
- Code defects and runtime error investigation requests
|
||||
- Build failure analysis and resolution needs
|
||||
- Performance issue diagnosis and optimization requirements
|
||||
- Deployment problem analysis and system behavior debugging
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:troubleshoot [issue] [--type bug|build|performance|deployment] [--trace] [--fix]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Examine issue description and gather relevant system state information
|
||||
2. **Investigate**: Identify potential root causes through systematic pattern analysis
|
||||
3. **Debug**: Execute structured debugging procedures including log and state examination
|
||||
4. **Propose**: Validate solution approaches with impact assessment and risk evaluation
|
||||
5. **Resolve**: Apply appropriate fixes and verify resolution effectiveness
|
||||
|
||||
Key behaviors:
|
||||
- Systematic root cause analysis with hypothesis testing and evidence collection
|
||||
- Multi-domain troubleshooting (code, build, performance, deployment)
|
||||
- Structured debugging methodologies with comprehensive problem analysis
|
||||
- Safe fix application with verification and documentation
|
||||
|
||||
## Tool Coordination
|
||||
- **Read**: Log analysis and system state examination
|
||||
- **Bash**: Diagnostic command execution and system investigation
|
||||
- **Grep**: Error pattern detection and log analysis
|
||||
- **Write**: Diagnostic reports and resolution documentation
|
||||
|
||||
## Key Patterns
|
||||
- **Bug Investigation**: Error analysis → stack trace examination → code inspection → fix validation
|
||||
- **Build Troubleshooting**: Build log analysis → dependency checking → configuration validation
|
||||
- **Performance Diagnosis**: Metrics analysis → bottleneck identification → optimization recommendations
|
||||
- **Deployment Issues**: Environment analysis → configuration verification → service validation
|
||||
|
||||
## Examples
|
||||
|
||||
### Code Bug Investigation
|
||||
```
|
||||
/sc:troubleshoot "Null pointer exception in user service" --type bug --trace
|
||||
# Systematic analysis of error context and stack traces
|
||||
# Identifies root cause and provides targeted fix recommendations
|
||||
```
|
||||
|
||||
### Build Failure Analysis
|
||||
```
|
||||
/sc:troubleshoot "TypeScript compilation errors" --type build --fix
|
||||
# Analyzes build logs and TypeScript configuration
|
||||
# Automatically applies safe fixes for common compilation issues
|
||||
```
|
||||
|
||||
### Performance Issue Diagnosis
|
||||
```
|
||||
/sc:troubleshoot "API response times degraded" --type performance
|
||||
# Performance metrics analysis and bottleneck identification
|
||||
# Provides optimization recommendations and monitoring guidance
|
||||
```
|
||||
|
||||
### Deployment Problem Resolution
|
||||
```
|
||||
/sc:troubleshoot "Service not starting in production" --type deployment --trace
|
||||
# Environment and configuration analysis
|
||||
# Systematic verification of deployment requirements and dependencies
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Execute systematic issue diagnosis using structured debugging methodologies
|
||||
- Provide validated solution approaches with comprehensive problem analysis
|
||||
- Apply safe fixes with verification and detailed resolution documentation
|
||||
|
||||
**Will Not:**
|
||||
- Apply risky fixes without proper analysis and user confirmation
|
||||
- Modify production systems without explicit permission and safety validation
|
||||
- Make architectural changes without understanding full system impact
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**DIAGNOSE FIRST - FIXES REQUIRE `--fix` FLAG**
|
||||
|
||||
This command is DIAGNOSIS-FIRST by default.
|
||||
|
||||
**Default behavior (no `--fix` flag)**:
|
||||
- Diagnose the issue
|
||||
- Identify root cause
|
||||
- Propose solution options
|
||||
- **STOP and present findings to user** - do not apply any fixes
|
||||
|
||||
**With `--fix` flag**:
|
||||
- After diagnosis, prompt user for confirmation before applying
|
||||
- Apply fix only after user explicitly approves
|
||||
- Verify fix with tests
|
||||
|
||||
**Explicitly Will NOT** (without `--fix` flag):
|
||||
- Apply any code changes
|
||||
- Modify any files
|
||||
- Execute fixes automatically
|
||||
|
||||
**Output**: Diagnostic report containing:
|
||||
- Issue description
|
||||
- Root cause analysis
|
||||
- Proposed solutions (ranked)
|
||||
- Risk assessment for each solution
|
||||
|
||||
**Next Step**: User reviews diagnosis, then either:
|
||||
- Re-run with `--fix` flag to apply recommended fix
|
||||
- Use `/sc:improve` for broader refactoring
|
||||
118
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/workflow.md
Normal file
118
文档润色流和知识库构建流/claude-scholar-upstream/commands/sc/workflow.md
Normal file
@@ -0,0 +1,118 @@
|
||||
---
|
||||
name: workflow
|
||||
description: "Generate structured implementation workflows from PRDs and feature requirements"
|
||||
category: orchestration
|
||||
complexity: advanced
|
||||
mcp-servers: [sequential, context7, magic, playwright, morphllm, serena]
|
||||
personas: [architect, analyzer, frontend, backend, security, devops, project-manager]
|
||||
---
|
||||
|
||||
# /sc:workflow - Implementation Workflow Generator
|
||||
|
||||
## Triggers
|
||||
- PRD and feature specification analysis for implementation planning
|
||||
- Structured workflow generation for development projects
|
||||
- Multi-persona coordination for complex implementation strategies
|
||||
- Cross-session workflow management and dependency mapping
|
||||
|
||||
## Usage
|
||||
```
|
||||
/sc:workflow [prd-file|feature-description] [--strategy systematic|agile|enterprise] [--depth shallow|normal|deep] [--parallel]
|
||||
```
|
||||
|
||||
## Behavioral Flow
|
||||
1. **Analyze**: Parse PRD and feature specifications to understand implementation requirements
|
||||
2. **Plan**: Generate comprehensive workflow structure with dependency mapping and task orchestration
|
||||
3. **Coordinate**: Activate multiple personas for domain expertise and implementation strategy
|
||||
4. **Execute**: Create structured step-by-step workflows with automated task coordination
|
||||
5. **Validate**: Apply quality gates and ensure workflow completeness across domains
|
||||
|
||||
Key behaviors:
|
||||
- Multi-persona orchestration across architecture, frontend, backend, security, and devops domains
|
||||
- Advanced MCP coordination with intelligent routing for specialized workflow analysis
|
||||
- Systematic execution with progressive workflow enhancement and parallel processing
|
||||
- Cross-session workflow management with comprehensive dependency tracking
|
||||
|
||||
## MCP Integration
|
||||
- **Sequential MCP**: Complex multi-step workflow analysis and systematic implementation planning
|
||||
- **Context7 MCP**: Framework-specific workflow patterns and implementation best practices
|
||||
- **Magic MCP**: UI/UX workflow generation and design system integration strategies
|
||||
- **Playwright MCP**: Testing workflow integration and quality assurance automation
|
||||
- **Morphllm MCP**: Large-scale workflow transformation and pattern-based optimization
|
||||
- **Serena MCP**: Cross-session workflow persistence, memory management, and project context
|
||||
|
||||
## Tool Coordination
|
||||
- **Read/Write/Edit**: PRD analysis and workflow documentation generation
|
||||
- **TodoWrite**: Progress tracking for complex multi-phase workflow execution
|
||||
- **Task**: Advanced delegation for parallel workflow generation and multi-agent coordination
|
||||
- **WebSearch**: Technology research, framework validation, and implementation strategy analysis
|
||||
- **sequentialthinking**: Structured reasoning for complex workflow dependency analysis
|
||||
|
||||
## Key Patterns
|
||||
- **PRD Analysis**: Document parsing → requirement extraction → implementation strategy development
|
||||
- **Workflow Generation**: Task decomposition → dependency mapping → structured implementation planning
|
||||
- **Multi-Domain Coordination**: Cross-functional expertise → comprehensive implementation strategies
|
||||
- **Quality Integration**: Workflow validation → testing strategies → deployment planning
|
||||
|
||||
## Examples
|
||||
|
||||
### Systematic PRD Workflow
|
||||
```
|
||||
/sc:workflow Claudedocs/PRD/feature-spec.md --strategy systematic --depth deep
|
||||
# Comprehensive PRD analysis with systematic workflow generation
|
||||
# Multi-persona coordination for complete implementation strategy
|
||||
```
|
||||
|
||||
### Agile Feature Workflow
|
||||
```
|
||||
/sc:workflow "user authentication system" --strategy agile --parallel
|
||||
# Agile workflow generation with parallel task coordination
|
||||
# Context7 and Magic MCP for framework and UI workflow patterns
|
||||
```
|
||||
|
||||
### Enterprise Implementation Planning
|
||||
```
|
||||
/sc:workflow enterprise-prd.md --strategy enterprise --validate
|
||||
# Enterprise-scale workflow with comprehensive validation
|
||||
# Security, devops, and architect personas for compliance and scalability
|
||||
```
|
||||
|
||||
### Cross-Session Workflow Management
|
||||
```
|
||||
/sc:workflow project-brief.md --depth normal
|
||||
# Serena MCP manages cross-session workflow context and persistence
|
||||
# Progressive workflow enhancement with memory-driven insights
|
||||
```
|
||||
|
||||
## Boundaries
|
||||
|
||||
**Will:**
|
||||
- Generate comprehensive implementation workflows from PRD and feature specifications
|
||||
- Coordinate multiple personas and MCP servers for complete implementation strategies
|
||||
- Provide cross-session workflow management and progressive enhancement capabilities
|
||||
|
||||
**Will Not:**
|
||||
- Execute actual implementation tasks beyond workflow planning and strategy
|
||||
- Override established development processes without proper analysis and validation
|
||||
- Generate workflows without comprehensive requirement analysis and dependency mapping
|
||||
|
||||
## CRITICAL BOUNDARIES
|
||||
|
||||
**STOP AFTER PLAN CREATION**
|
||||
|
||||
This command produces an IMPLEMENTATION PLAN ONLY - no code execution.
|
||||
|
||||
**Explicitly Will NOT**:
|
||||
- Execute any implementation tasks
|
||||
- Write or modify code
|
||||
- Create files (except the workflow plan document)
|
||||
- Make architectural changes
|
||||
- Run builds or tests
|
||||
|
||||
**Output**: Workflow plan document (`claudedocs/workflow_*.md`) containing:
|
||||
- Implementation phases
|
||||
- Task dependencies
|
||||
- Execution order
|
||||
- Checkpoints and validation steps
|
||||
|
||||
**Next Step**: After workflow completes, use `/sc:implement` to execute the plan step by step.
|
||||
80
文档润色流和知识库构建流/claude-scholar-upstream/commands/setup-pm.md
Normal file
80
文档润色流和知识库构建流/claude-scholar-upstream/commands/setup-pm.md
Normal file
@@ -0,0 +1,80 @@
|
||||
---
|
||||
description: Configure your preferred package manager (npm/pnpm/yarn/bun)
|
||||
disable-model-invocation: true
|
||||
---
|
||||
|
||||
# Package Manager Setup
|
||||
|
||||
Configure your preferred package manager for this project or globally.
|
||||
|
||||
## Usage
|
||||
|
||||
```bash
|
||||
# Detect current package manager
|
||||
node scripts/setup-package-manager.js --detect
|
||||
|
||||
# Set global preference
|
||||
node scripts/setup-package-manager.js --global pnpm
|
||||
|
||||
# Set project preference
|
||||
node scripts/setup-package-manager.js --project bun
|
||||
|
||||
# List available package managers
|
||||
node scripts/setup-package-manager.js --list
|
||||
```
|
||||
|
||||
## Detection Priority
|
||||
|
||||
When determining which package manager to use, the following order is checked:
|
||||
|
||||
1. **Environment variable**: `CLAUDE_PACKAGE_MANAGER`
|
||||
2. **Project config**: `.claude/package-manager.json`
|
||||
3. **package.json**: `packageManager` field
|
||||
4. **Lock file**: Presence of package-lock.json, yarn.lock, pnpm-lock.yaml, or bun.lockb
|
||||
5. **Global config**: `~/.claude/package-manager.json`
|
||||
6. **Fallback**: First available package manager (pnpm > bun > yarn > npm)
|
||||
|
||||
## Configuration Files
|
||||
|
||||
### Global Configuration
|
||||
```json
|
||||
// ~/.claude/package-manager.json
|
||||
{
|
||||
"packageManager": "pnpm"
|
||||
}
|
||||
```
|
||||
|
||||
### Project Configuration
|
||||
```json
|
||||
// .claude/package-manager.json
|
||||
{
|
||||
"packageManager": "bun"
|
||||
}
|
||||
```
|
||||
|
||||
### package.json
|
||||
```json
|
||||
{
|
||||
"packageManager": "pnpm@8.6.0"
|
||||
}
|
||||
```
|
||||
|
||||
## Environment Variable
|
||||
|
||||
Set `CLAUDE_PACKAGE_MANAGER` to override all other detection methods:
|
||||
|
||||
```bash
|
||||
# Windows (PowerShell)
|
||||
$env:CLAUDE_PACKAGE_MANAGER = "pnpm"
|
||||
|
||||
# macOS/Linux
|
||||
export CLAUDE_PACKAGE_MANAGER=pnpm
|
||||
```
|
||||
|
||||
## Run the Detection
|
||||
|
||||
To see current package manager detection results, run:
|
||||
|
||||
```bash
|
||||
node scripts/setup-package-manager.js --detect
|
||||
```
|
||||
324
文档润色流和知识库构建流/claude-scholar-upstream/commands/tdd.md
Normal file
324
文档润色流和知识库构建流/claude-scholar-upstream/commands/tdd.md
Normal file
@@ -0,0 +1,324 @@
|
||||
---
|
||||
description: Enforce test-driven development workflow. Scaffold interfaces, generate tests FIRST, then implement minimal code to pass. Ensure 80%+ coverage.
|
||||
---
|
||||
|
||||
# TDD Command
|
||||
|
||||
This command enforces a test-driven development methodology directly.
|
||||
|
||||
## What This Command Does
|
||||
|
||||
1. **Scaffold Interfaces** - Define types/interfaces first
|
||||
2. **Generate Tests First** - Write failing tests (RED)
|
||||
3. **Implement Minimal Code** - Write just enough to pass (GREEN)
|
||||
4. **Refactor** - Improve code while keeping tests green (REFACTOR)
|
||||
5. **Verify Coverage** - Ensure 80%+ test coverage
|
||||
|
||||
## When to Use
|
||||
|
||||
Use `/tdd` when:
|
||||
- Implementing new features
|
||||
- Adding new functions/components
|
||||
- Fixing bugs (write test that reproduces bug first)
|
||||
- Refactoring existing code
|
||||
- Building critical business logic
|
||||
|
||||
## How It Works
|
||||
|
||||
This command should:
|
||||
|
||||
1. **Define interfaces** for inputs/outputs
|
||||
2. **Write tests that will FAIL** (because code doesn't exist yet)
|
||||
3. **Run tests** and verify they fail for the right reason
|
||||
4. **Write minimal implementation** to make tests pass
|
||||
5. **Run tests** and verify they pass
|
||||
6. **Refactor** code while keeping tests green
|
||||
7. **Check coverage** and add more tests if below 80%
|
||||
|
||||
## TDD Cycle
|
||||
|
||||
```
|
||||
RED → GREEN → REFACTOR → REPEAT
|
||||
|
||||
RED: Write a failing test
|
||||
GREEN: Write minimal code to pass
|
||||
REFACTOR: Improve code, keep tests passing
|
||||
REPEAT: Next feature/scenario
|
||||
```
|
||||
|
||||
## Example Usage
|
||||
|
||||
```
|
||||
User: /tdd I need a function to calculate market liquidity score
|
||||
|
||||
Assistant:
|
||||
# TDD Session: Market Liquidity Score Calculator
|
||||
|
||||
## Step 1: Define Interface (SCAFFOLD)
|
||||
|
||||
```python
|
||||
# lib/liquidity.py
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
from typing import NotRequired
|
||||
|
||||
@dataclass
|
||||
class MarketData:
|
||||
totalVolume: float
|
||||
bidAskSpread: float
|
||||
activeTraders: int
|
||||
lastTradeTime: datetime
|
||||
|
||||
def calculateLiquidityScore(market: MarketData) -> float:
|
||||
# TODO: Implementation
|
||||
raise NotImplementedError('Not implemented')
|
||||
```
|
||||
|
||||
## Step 2: Write Failing Test (RED)
|
||||
|
||||
```python
|
||||
# tests/test_liquidity.py
|
||||
import pytest
|
||||
from lib.liquidity import calculateLiquidityScore, MarketData
|
||||
from datetime import datetime
|
||||
|
||||
def test_liquid_market_high_score():
|
||||
"""Test that liquid market gets high score."""
|
||||
market = MarketData(
|
||||
totalVolume=100000,
|
||||
bidAskSpread=0.01,
|
||||
activeTraders=500,
|
||||
lastTradeTime=datetime.now()
|
||||
)
|
||||
|
||||
score = calculateLiquidityScore(market)
|
||||
|
||||
assert 80 < score <= 100
|
||||
|
||||
def test_illiquid_market_low_score():
|
||||
"""Test that illiquid market gets low score."""
|
||||
market = MarketData(
|
||||
totalVolume=100,
|
||||
bidAskSpread=0.5,
|
||||
activeTraders=2,
|
||||
lastTradeTime=datetime.fromtimestamp(datetime.now().timestamp() - 86400) # 1 day ago
|
||||
)
|
||||
|
||||
score = calculateLiquidityScore(market)
|
||||
|
||||
assert 0 <= score < 30
|
||||
|
||||
def test_zero_volume_edge_case():
|
||||
"""Test that zero volume returns score of 0."""
|
||||
market = MarketData(
|
||||
totalVolume=0,
|
||||
bidAskSpread=0,
|
||||
activeTraders=0,
|
||||
lastTradeTime=datetime.now()
|
||||
)
|
||||
|
||||
score = calculateLiquidityScore(market)
|
||||
|
||||
assert score == 0
|
||||
```
|
||||
|
||||
## Step 3: Run Tests - Verify FAIL
|
||||
|
||||
```bash
|
||||
pytest tests/test_liquidity.py -v
|
||||
|
||||
FAILED test_liquidity.py::test_liquid_market_high_score
|
||||
NotImplementedError: Not implemented
|
||||
|
||||
1 test failed, 0 passed
|
||||
```
|
||||
|
||||
✅ Tests fail as expected. Ready to implement.
|
||||
|
||||
## Step 4: Implement Minimal Code (GREEN)
|
||||
|
||||
```python
|
||||
# lib/liquidity.py
|
||||
def calculateLiquidityScore(market: MarketData) -> float:
|
||||
# Handle zero volume edge case
|
||||
if market.totalVolume == 0:
|
||||
return 0.0
|
||||
|
||||
# Calculate component scores (0-100 scale)
|
||||
volumeScore = min(market.totalVolume / 1000, 100)
|
||||
spreadScore = max(100 - (market.bidAskSpread * 1000), 0)
|
||||
traderScore = min(market.activeTraders / 10, 100)
|
||||
|
||||
# Recent activity bonus
|
||||
hoursSinceLastTrade = (datetime.now().timestamp() - market.lastTradeTime.timestamp()) / 3600
|
||||
recencyScore = max(100 - (hoursSinceLastTrade * 10), 0)
|
||||
|
||||
# Weighted average
|
||||
score = (
|
||||
volumeScore * 0.4 +
|
||||
spreadScore * 0.3 +
|
||||
traderScore * 0.2 +
|
||||
recencyScore * 0.1
|
||||
)
|
||||
|
||||
return max(0, min(score, 100)) # Clamp to 0-100
|
||||
```
|
||||
|
||||
## Step 5: Run Tests - Verify PASS
|
||||
|
||||
```bash
|
||||
pytest tests/test_liquidity.py -v
|
||||
|
||||
PASSED test_liquidity.py::test_liquid_market_high_score
|
||||
PASSED test_liquidity.py::test_illiquid_market_low_score
|
||||
PASSED test_liquidity.py::test_zero_volume_edge_case
|
||||
|
||||
3 tests passed
|
||||
```
|
||||
|
||||
✅ All tests passing!
|
||||
|
||||
## Step 6: Refactor (IMPROVE)
|
||||
|
||||
```python
|
||||
# lib/liquidity.py - Refactored with constants and better readability
|
||||
from dataclasses import dataclass
|
||||
|
||||
WEIGHTS = {
|
||||
'VOLUME': 0.4,
|
||||
'SPREAD': 0.3,
|
||||
'TRADERS': 0.2,
|
||||
'RECENCY': 0.1,
|
||||
}
|
||||
|
||||
SCALE_FACTORS = {
|
||||
'VOLUME': 1000,
|
||||
'SPREAD': 1000,
|
||||
'TRADERS': 10,
|
||||
'RECENCY_PENALTY': 10,
|
||||
}
|
||||
|
||||
def clamp(value: float, min_val: float, max_val: float) -> float:
|
||||
"""Clamp value between min and max."""
|
||||
return max(min(value, max_val), min_val)
|
||||
|
||||
def calculateLiquidityScore(market: MarketData) -> float:
|
||||
if market.totalVolume == 0:
|
||||
return 0.0
|
||||
|
||||
volumeScore = min(market.totalVolume / SCALE_FACTORS['VOLUME'], 100)
|
||||
spreadScore = clamp(100 - (market.bidAskSpread * SCALE_FACTORS['SPREAD']), 0, 100)
|
||||
traderScore = min(market.activeTraders / SCALE_FACTORS['TRADERS'], 100)
|
||||
|
||||
hoursSinceLastTrade = (datetime.now().timestamp() - market.lastTradeTime.timestamp()) / 3600
|
||||
recencyScore = clamp(100 - (hoursSinceLastTrade * SCALE_FACTORS['RECENCY_PENALTY']), 0, 100)
|
||||
|
||||
weightedScore = (
|
||||
volumeScore * WEIGHTS['VOLUME'] +
|
||||
spreadScore * WEIGHTS['SPREAD'] +
|
||||
traderScore * WEIGHTS['TRADERS'] +
|
||||
recencyScore * WEIGHTS['RECENCY']
|
||||
)
|
||||
|
||||
return clamp(weightedScore, 0, 100)
|
||||
```
|
||||
|
||||
## Step 7: Verify Tests Still Pass
|
||||
|
||||
```bash
|
||||
pytest tests/test_liquidity.py -v
|
||||
|
||||
PASSED test_liquidity.py::test_liquid_market_high_score
|
||||
PASSED test_liquidity.py::test_illiquid_market_low_score
|
||||
PASSED test_liquidity.py::test_zero_volume_edge_case
|
||||
|
||||
3 tests passed
|
||||
```
|
||||
|
||||
✅ Refactoring complete, tests still passing!
|
||||
|
||||
## Step 8: Check Coverage
|
||||
|
||||
```bash
|
||||
pytest --cov=lib --cov-report=term-missing tests/test_liquidity.py
|
||||
|
||||
File | % Stmts | % Branch | % Funcs | % Lines
|
||||
---------------|---------|----------|---------|--------
|
||||
liquidity.py | 100 | 100 | 100 | 100
|
||||
|
||||
Coverage: 100% ✅ (Target: 80%)
|
||||
```
|
||||
|
||||
✅ TDD session complete!
|
||||
```
|
||||
|
||||
## TDD Best Practices
|
||||
|
||||
**DO:**
|
||||
- ✅ Write the test FIRST, before any implementation
|
||||
- ✅ Run tests and verify they FAIL before implementing
|
||||
- ✅ Write minimal code to make tests pass
|
||||
- ✅ Refactor only after tests are green
|
||||
- ✅ Add edge cases and error scenarios
|
||||
- ✅ Aim for 80%+ coverage (100% for critical code)
|
||||
|
||||
**DON'T:**
|
||||
- ❌ Write implementation before tests
|
||||
- ❌ Skip running tests after each change
|
||||
- ❌ Write too much code at once
|
||||
- ❌ Ignore failing tests
|
||||
- ❌ Test implementation details (test behavior)
|
||||
- ❌ Mock everything (prefer integration tests)
|
||||
|
||||
## Test Types to Include
|
||||
|
||||
**Unit Tests** (Function-level):
|
||||
- Happy path scenarios
|
||||
- Edge cases (empty, null, max values)
|
||||
- Error conditions
|
||||
- Boundary values
|
||||
|
||||
**Integration Tests** (Component-level):
|
||||
- API endpoints
|
||||
- Database operations
|
||||
- External service calls
|
||||
- React components with hooks
|
||||
|
||||
**E2E Tests** (use `/e2e` command):
|
||||
- Critical user flows
|
||||
- Multi-step processes
|
||||
- Full stack integration
|
||||
|
||||
## Coverage Requirements
|
||||
|
||||
- **80% minimum** for all code
|
||||
- **100% required** for:
|
||||
- Financial calculations
|
||||
- Authentication logic
|
||||
- Security-critical code
|
||||
- Core business logic
|
||||
|
||||
## Important Notes
|
||||
|
||||
**MANDATORY**: Tests must be written BEFORE implementation. The TDD cycle is:
|
||||
|
||||
1. **RED** - Write failing test
|
||||
2. **GREEN** - Implement to pass
|
||||
3. **REFACTOR** - Improve code
|
||||
|
||||
Never skip the RED phase. Never write code before tests.
|
||||
|
||||
## Integration with Other Commands
|
||||
|
||||
- Use `/plan` first to understand what to build
|
||||
- Use `/tdd` to implement with tests
|
||||
- Use `/build-and-fix` if build errors occur
|
||||
- Use `/code-review` to review implementation
|
||||
- Use `/test-coverage` to verify coverage
|
||||
|
||||
## Related Agents
|
||||
|
||||
Use `daily-coding` and `verification-loop` style checks to keep the cycle test-backed and incremental.
|
||||
|
||||
And can reference the `tdd-workflow` skill at:
|
||||
`~/.claude/skills/tdd-workflow/`
|
||||
100
文档润色流和知识库构建流/claude-scholar-upstream/commands/update-github.md
Normal file
100
文档润色流和知识库构建流/claude-scholar-upstream/commands/update-github.md
Normal file
@@ -0,0 +1,100 @@
|
||||
---
|
||||
description: Commit changes with Conventional Commits format and push to GitHub remote repository.
|
||||
---
|
||||
|
||||
# Update GitHub
|
||||
|
||||
Commit uncommitted changes and push to remote GitHub repository.
|
||||
|
||||
## Instructions
|
||||
|
||||
1. **Check Git Status**
|
||||
- Run `git status`
|
||||
- Show all uncommitted changes
|
||||
|
||||
2. **Analyze Changes**
|
||||
- Review changed files
|
||||
- Determine commit type (feat/fix/docs/refactor/test/chore)
|
||||
- Determine scope (affected module/component)
|
||||
|
||||
3. **Create Commit Message**
|
||||
Follow Conventional Commits format:
|
||||
```
|
||||
<type>(<scope>): <subject>
|
||||
|
||||
<body>
|
||||
|
||||
<footer>
|
||||
```
|
||||
|
||||
Types:
|
||||
- `feat`: 新功能
|
||||
- `fix`: Bug 修复
|
||||
- `docs`: 文档更新
|
||||
- `refactor`: 代码重构
|
||||
- `perf`: 性能优化
|
||||
- `test`: 测试相关
|
||||
- `chore`: 其他修改
|
||||
|
||||
4. **Stage and Commit**
|
||||
- Run `git add` for affected files
|
||||
- Create commit with formatted message
|
||||
- Do not include `Co-Authored-By` footers unless the user explicitly asks for them
|
||||
|
||||
5. **Push to Remote**
|
||||
- Run `git push`
|
||||
- If rejected, pull with rebase first:
|
||||
```bash
|
||||
git pull --rebase origin $(git branch --show-current)
|
||||
git push
|
||||
```
|
||||
|
||||
6. **Verify Success**
|
||||
- Show commit SHA
|
||||
- Show remote branch status
|
||||
|
||||
## Example Usage
|
||||
|
||||
```
|
||||
User: /update-github
|
||||
|
||||
1. Checking git status...
|
||||
Modified: src/utils/helpers.py
|
||||
Modified: README.md
|
||||
|
||||
2. Analyzing changes...
|
||||
- src/utils/helpers.py: Refactored helper functions
|
||||
- README.md: Updated documentation
|
||||
|
||||
3. Proposed commit:
|
||||
docs(readme): 更新项目文档
|
||||
|
||||
- 添加使用示例
|
||||
- 更新依赖说明
|
||||
|
||||
4. Proceed? (yes/no/modify)
|
||||
|
||||
5. Staging files...
|
||||
git add src/utils/helpers.py README.md
|
||||
|
||||
6. Creating commit...
|
||||
[main abc1234] docs(readme): 更新项目文档
|
||||
|
||||
7. Pushing to remote...
|
||||
git push
|
||||
To github.com:user/repo.git
|
||||
abc1234..def5678 main -> main
|
||||
|
||||
✅ Successfully pushed to GitHub!
|
||||
```
|
||||
|
||||
## Arguments
|
||||
|
||||
$ARGUMENTS can be:
|
||||
- `--amend` - Amend last commit instead of creating new one
|
||||
- `--no-verify` - Skip pre-commit hooks
|
||||
- `<type>(<scope>): <message>` - Use custom commit message
|
||||
|
||||
## Integration
|
||||
|
||||
This command uses the same Conventional Commits format as the `/commit` skill but focuses on the complete flow: stage → commit → push.
|
||||
126
文档润色流和知识库构建流/claude-scholar-upstream/commands/update-memory.md
Normal file
126
文档润色流和知识库构建流/claude-scholar-upstream/commands/update-memory.md
Normal file
@@ -0,0 +1,126 @@
|
||||
---
|
||||
description: Check and update CLAUDE.md memory based on changes to skills, commands, agents, and hooks.
|
||||
---
|
||||
|
||||
# Update Memory
|
||||
|
||||
检查并更新 CLAUDE.md 全局记忆文件，确保其内容与 skills、commands、agents、hooks 的源文件保持同步。
|
||||
|
||||
## 功能概述
|
||||
|
||||
CLAUDE.md 是一个汇总记忆文件，包含：
|
||||
- 技能目录结构（来自 `skills/`）
|
||||
- 命令列表（来自 `commands/`）
|
||||
- 代理配置（来自 `agents/`）
|
||||
- 钩子定义（来自 `hooks/`）
|
||||
|
||||
当这些源文件发生变化时，CLAUDE.md 需要同步更新。
|
||||
|
||||
## 检测逻辑
|
||||
|
||||
1. **扫描源文件修改时间**
|
||||
- `~/.claude/skills/**/skill.md`
|
||||
- `~/.claude/commands/**/*.md`
|
||||
- `~/.claude/agents/**/*.md`
|
||||
- `~/.claude/hooks/**/*.{js,json}`
|
||||
|
||||
2. **对比 CLAUDE.md 最后修改时间**
|
||||
- 如果任意源文件比 CLAUDE.md 新 → 需要更新
|
||||
- 记录上次同步时间戳（`~/.claude/.last-memory-sync`）
|
||||
|
||||
3. **生成报告**
|
||||
- 列出所有变更的源文件
|
||||
- 显示需要更新的 CLAUDE.md 章节
|
||||
|
||||
## 更新流程
|
||||
|
||||
### 1. 扫描阶段
|
||||
|
||||
```
|
||||
扫描 Skills: X 个
|
||||
扫描 Commands: Y 个
|
||||
扫描 Agents: Z 个
|
||||
扫描 Hooks: W 个
|
||||
```
|
||||
|
||||
### 2. 对比阶段
|
||||
|
||||
```
|
||||
需要更新的章节:
|
||||
- [ ] 技能目录结构 (3 个技能变更)
|
||||
- [ ] 命令列表 (1 个命令新增)
|
||||
- [ ] 代理配置 (无变更)
|
||||
- [ ] 钩子定义 (2 个钩子修改)
|
||||
```
|
||||
|
||||
### 3. 确认更新
|
||||
|
||||
询问用户是否执行更新：
|
||||
```
|
||||
是否更新 CLAUDE.md? (yes/no/diff)
|
||||
- yes: 执行更新
|
||||
- no: 取消
|
||||
- diff: 显示详细差异
|
||||
```
|
||||
|
||||
### 4. 执行更新
|
||||
|
||||
- 保留用户手动编辑的内容（如"用户背景"、"技术栈偏好"）
|
||||
- 仅更新 AUTO-GENERATED 标记的章节
|
||||
- 更新时间戳
|
||||
|
||||
## 使用方式
|
||||
|
||||
```
|
||||
/update-memory # 检查并提示更新
|
||||
/update-memory --check # 仅检查，不更新
|
||||
/update-memory --force # 强制更新，不询问
|
||||
/update-memory --diff # 显示差异对比
|
||||
```
|
||||
|
||||
## 输出示例
|
||||
|
||||
### 检查结果
|
||||
|
||||
```
|
||||
📋 CLAUDE.md 记忆状态检查
|
||||
|
||||
源文件状态:
|
||||
✅ Skills: 24 个 (最近修改: ml-paper-writing)
|
||||
✅ Commands: 14 个 (最近修改: update-readme)
|
||||
✅ Agents: 7 个 (无变更)
|
||||
✅ Hooks: 5 个 (最近修改: session-summary)
|
||||
|
||||
时间对比:
|
||||
- CLAUDE.md 最后更新: 2024-01-15 10:30
|
||||
- 源文件最后修改: 2024-01-16 14:22
|
||||
|
||||
⚠️ 检测到变更，建议更新 CLAUDE.md
|
||||
|
||||
变更详情:
|
||||
1. skills/ml-paper-writing/skill.md (修改于 14:22)
|
||||
2. commands/update-readme.md (修改于 13:15)
|
||||
3. hooks/session-summary.js (修改于 11:45)
|
||||
|
||||
是否执行更新? (yes/no/diff)
|
||||
```
|
||||
|
||||
### 更新完成
|
||||
|
||||
```
|
||||
✅ CLAUDE.md 已更新
|
||||
|
||||
更新内容:
|
||||
- 技能目录: 同步 24 个技能
|
||||
- 命令列表: 同步 14 个命令
|
||||
- 代理配置: 无变更
|
||||
- 钩子定义: 同步 5 个钩子
|
||||
|
||||
下次同步时间戳已更新。
|
||||
```
|
||||
|
||||
## 集成建议
|
||||
|
||||
- 在 `session-summary.js` 中集成检查提醒
|
||||
- 在 PostToolUse 钩子中实时检测
|
||||
- 建议定期执行（如每次会话结束时）
|
||||
159
文档润色流和知识库构建流/claude-scholar-upstream/commands/update-readme.md
Normal file
159
文档润色流和知识库构建流/claude-scholar-upstream/commands/update-readme.md
Normal file
@@ -0,0 +1,159 @@
|
||||
---
|
||||
description: Update README documentation and push changes to GitHub.
|
||||
---
|
||||
|
||||
# Update README
|
||||
|
||||
Update README.md file with latest project information and push to GitHub.
|
||||
|
||||
## Instructions
|
||||
|
||||
1. **Analyze Current State**
|
||||
- Read existing README.md
|
||||
- Check recent code changes (git log)
|
||||
- Identify documentation gaps
|
||||
|
||||
2. **Determine Updates Needed**
|
||||
Check for:
|
||||
- New features added
|
||||
- Configuration changes
|
||||
- Dependencies updated
|
||||
- Installation instructions
|
||||
- Usage examples
|
||||
- API changes
|
||||
|
||||
3. **Propose README Updates**
|
||||
Show sections that need updating:
|
||||
```markdown
|
||||
Proposed changes:
|
||||
- [ ] Update Installation section (new dependencies)
|
||||
- [ ] Add usage example for feature X
|
||||
- [ ] Update API documentation
|
||||
- [ ] Fix broken links
|
||||
```
|
||||
|
||||
4. **Update README**
|
||||
- Apply proposed changes
|
||||
- Maintain markdown formatting
|
||||
- Keep language consistent (中文/English)
|
||||
- Preserve structure
|
||||
|
||||
5. **Commit and Push**
|
||||
- Run `/update-github` with `docs(readme):` type
|
||||
- Example commit: `docs(readme): 更新 README 文档`
|
||||
|
||||
## Example Usage
|
||||
|
||||
```
|
||||
User: /update-readme
|
||||
|
||||
1. Analyzing repository state...
|
||||
|
||||
Recent changes:
|
||||
- feat(data): 添加新的数据加载器
|
||||
- fix(model): 修复训练时的内存泄漏
|
||||
- chore: 更新依赖到 v2.0.0
|
||||
|
||||
2. Checking README.md...
|
||||
|
||||
Current README sections:
|
||||
- Installation
|
||||
- Usage
|
||||
- API Reference
|
||||
- Contributing
|
||||
|
||||
3. Proposed updates:
|
||||
[ ] Installation - 添加新的依赖说明
|
||||
[ ] Usage - 添加数据加载器示例
|
||||
[ ] API Reference - 更新模型接口文档
|
||||
|
||||
4. Applying updates...
|
||||
|
||||
Updating Installation:
|
||||
+ pip install torch>=2.0.0
|
||||
+ pip install transformers>=4.30.0
|
||||
|
||||
Adding usage example:
|
||||
## 数据加载示例
|
||||
```python
|
||||
from data import DataLoader
|
||||
loader = DataLoader(batch_size=32)
|
||||
```
|
||||
|
||||
5. Review changes before committing...
|
||||
[Show diff]
|
||||
|
||||
6. Proceed with commit?
|
||||
> yes
|
||||
|
||||
7. Committing with: docs(readme): 更新 README 文档
|
||||
Co-Authored-By: Claude <noreply@anthropic.com>
|
||||
|
||||
✅ README updated and pushed to GitHub!
|
||||
```
|
||||
|
||||
## README Structure Template
|
||||
|
||||
When updating README, follow this structure:
|
||||
|
||||
```markdown
|
||||
# 项目名称
|
||||
|
||||
简短描述项目用途。
|
||||
|
||||
## 安装
|
||||
|
||||
### 依赖要求
|
||||
- Python >= 3.8
|
||||
- uv 或 pip
|
||||
|
||||
### 安装步骤
|
||||
```bash
|
||||
uv sync
|
||||
```
|
||||
|
||||
## 使用
|
||||
|
||||
### 基本用法
|
||||
```python
|
||||
# 示例代码
|
||||
```
|
||||
|
||||
### 配置
|
||||
说明配置文件位置和格式。
|
||||
|
||||
## API 文档
|
||||
|
||||
主要接口说明。
|
||||
|
||||
## 开发
|
||||
|
||||
### 运行测试
|
||||
```bash
|
||||
pytest
|
||||
```
|
||||
|
||||
### 代码规范
|
||||
- 遵循 PEP 8
|
||||
- 使用 mypy 进行类型检查
|
||||
- 使用 ruff 进行 linting
|
||||
|
||||
## 贡献
|
||||
|
||||
欢迎提交 Pull Request。
|
||||
|
||||
## 许可证
|
||||
|
||||
MIT License
|
||||
```
|
||||
|
||||
## Arguments
|
||||
|
||||
$ARGUMENTS can be:
|
||||
- `--full` - Complete README rewrite
|
||||
- `--quick` - Only update critical sections (installation, usage)
|
||||
- `<section>` - Update specific section only
|
||||
|
||||
## Integration
|
||||
|
||||
After updating README, this command automatically invokes `/update-github` with `docs(readme):` commit type.
|
||||
59
文档润色流和知识库构建流/claude-scholar-upstream/commands/verify.md
Normal file
59
文档润色流和知识库构建流/claude-scholar-upstream/commands/verify.md
Normal file
@@ -0,0 +1,59 @@
|
||||
# Verification Command
|
||||
|
||||
Run comprehensive verification on current codebase state.
|
||||
|
||||
## Instructions
|
||||
|
||||
Execute verification in this exact order:
|
||||
|
||||
1. **Type Check**
|
||||
- Run mypy src/
|
||||
- Report all errors with file:line
|
||||
|
||||
2. **Lint Check**
|
||||
- Run ruff check .
|
||||
- Report warnings and errors
|
||||
|
||||
3. **Test Suite**
|
||||
- Run pytest
|
||||
- Report pass/fail count
|
||||
- Report coverage percentage (pytest --cov)
|
||||
|
||||
4. **Security Check**
|
||||
- Run pip-audit
|
||||
- Check for hardcoded secrets (grep -r "sk-" etc.)
|
||||
|
||||
5. **Print Audit**
|
||||
- Search for print() in source files
|
||||
- Report locations
|
||||
|
||||
6. **Git Status**
|
||||
- Show uncommitted changes
|
||||
- Show files modified since last commit
|
||||
|
||||
## Output
|
||||
|
||||
Produce a concise verification report:
|
||||
|
||||
```
|
||||
VERIFICATION: [PASS/FAIL]
|
||||
|
||||
Types: [OK/X errors]
|
||||
Lint: [OK/X issues]
|
||||
Tests: [X/Y passed, Z% coverage]
|
||||
Security: [OK/X vulnerabilities]
|
||||
Secrets: [OK/X found]
|
||||
Prints: [OK/X print() statements]
|
||||
|
||||
Ready for commit: [YES/NO]
|
||||
```
|
||||
|
||||
If any critical issues, list them with fix suggestions.
|
||||
|
||||
## Arguments
|
||||
|
||||
$ARGUMENTS can be:
|
||||
- `quick` - Only types + lint
|
||||
- `full` - All checks (default)
|
||||
- `pre-commit` - Checks relevant for commits
|
||||
- `pre-pr` - Full checks plus security scan
|
||||
128
文档润色流和知识库构建流/claude-scholar-upstream/commands/zotero-notes.md
Normal file
128
文档润色流和知识库构建流/claude-scholar-upstream/commands/zotero-notes.md
Normal file
@@ -0,0 +1,128 @@
|
||||
---
|
||||
name: zotero-notes
|
||||
description: Batch read papers from Zotero and create/update detailed reading notes, preferably inside the bound Obsidian project knowledge base
|
||||
args:
|
||||
- name: collection
|
||||
description: Zotero collection name or keyword
|
||||
required: true
|
||||
- name: format
|
||||
description: Note format (summary/detailed/comparison)
|
||||
required: false
|
||||
default: detailed
|
||||
tags: [Research, Zotero, Obsidian, Reading Notes, Paper Analysis]
|
||||
---
|
||||
|
||||
# /zotero-notes - Zotero to Obsidian Reading Notes
|
||||
|
||||
Read papers from the Zotero collection "$collection" and create or update detailed reading notes.
|
||||
|
||||
## Default target
|
||||
|
||||
- **Preferred target**: the bound Obsidian project knowledge base (`Sources/Papers/*.md`)
|
||||
- **Fallback target**: `reading-notes-{collection}.md` in the working directory if the current repo is not bound to Obsidian
|
||||
|
||||
## Workflow
|
||||
|
||||
### Step 0: Resolve whether the current repo is Obsidian-bound
|
||||
|
||||
1. If `.claude/project-memory/registry.yaml` exists for the current repo, treat the bound vault as the primary output target.
|
||||
2. If the repo is a research project but not yet bound, bootstrap it first.
|
||||
3. If there is no bound project context, fall back to a plain markdown output in the working directory.
|
||||
4. Treat this command as an explicit agent-first ingestion pass under `$zotero-obsidian-bridge`.
|
||||
|
||||
### Step 1: Load papers from Zotero
|
||||
|
||||
1. Call `mcp__zotero__zotero_get_collections` to find the matching collection.
|
||||
2. Call `mcp__zotero__zotero_get_collection_items` to list the papers.
|
||||
3. For each item, call:
|
||||
- `mcp__zotero__zotero_get_item_metadata`
|
||||
- `mcp__zotero__zotero_get_item_fulltext` when a PDF is available
|
||||
- `mcp__zotero__zotero_get_annotations` when helpful
|
||||
- `mcp__zotero__zotero_get_notes` when helpful
|
||||
4. If MCP transport fails but a local `zotero-mcp` checkout is available, use the local Python fallback instead of stopping the pass.
|
||||
5. Treat Zotero `webpage` items as weak-source inputs unless they clearly expose full paper metadata and useful full text. Abstract-only or placeholder pages must stay `To-Read` and cannot support `Knowledge` or `Writing` claims.
|
||||
|
||||
### Step 2: Create/update the canonical paper note
|
||||
|
||||
If the project is Obsidian-bound, create or update one canonical note per paper under `Sources/Papers/`.
|
||||
|
||||
Each detailed note should contain:
|
||||
- `Claim`
|
||||
- `Research question`
|
||||
- `Method`
|
||||
- `Evidence`
|
||||
- `Strengths`
|
||||
- `Limitation`
|
||||
- `Direct relevance to repo`
|
||||
- `Relation to other papers`
|
||||
- `Knowledge links`
|
||||
- `Optional downstream hooks`
|
||||
- canonical `Evidence Record` with `Source type` and `Claim strength` when the paper has reusable claims
|
||||
|
||||
Recommended frontmatter fields:
|
||||
- `title`, `authors`, `year`, `venue`, `doi`, `url`, `citekey`, `zotero_key`
|
||||
- `keywords`, `concepts`, `methods`
|
||||
- `related_papers`, `linked_knowledge`, `argument_claims`, `argument_methods`, `argument_gaps`, `paper_relationships`
|
||||
|
||||
Prefer updating the existing note over creating a sibling note.
|
||||
|
||||
### Step 3: Collection coverage and synthesis
|
||||
|
||||
After the paper-note pass:
|
||||
- update a collection inventory note when the source is a named collection
|
||||
- record item -> canonical note mapping and coverage counts such as `16 / 16`
|
||||
- verify coverage against expected Zotero keys, DOI values, or arXiv IDs when the user supplied them
|
||||
- label abstract-only and webpage-placeholder items separately in the inventory
|
||||
- synthesize durable literature knowledge under `Knowledge/`, for example:
|
||||
- `Knowledge/Literature Overview.md`
|
||||
- `Knowledge/Method Taxonomy.md`
|
||||
- `Knowledge/Research Gaps.md`
|
||||
|
||||
Prefer updating existing canonical knowledge notes over creating parallel summaries.
|
||||
|
||||
### Step 4: Refresh the default literature canvas
|
||||
|
||||
After batch note creation or substantial note updates, refresh:
|
||||
|
||||
```bash
|
||||
python3 "${CLAUDE_PLUGIN_ROOT}/skills/obsidian-literature-workflow/scripts/build_literature_canvas.py" --cwd "$PWD"
|
||||
```
|
||||
|
||||
This rebuilds `Maps/literature.canvas` from paper-note and knowledge-note links.
|
||||
|
||||
### Step 5: Optional synthesis outputs
|
||||
|
||||
- If `format=comparison` and promoted claims pass the evidence gate, also update `Writing/comparison-matrix.md`.
|
||||
- If the paper batch already supports a thematic synthesis and promoted claims pass the evidence gate, update `Writing/related-work-draft.md`.
|
||||
If not, write only a coverage warning or claim map.
|
||||
|
||||
### Step 6: Minimal write-back
|
||||
|
||||
Always update:
|
||||
- today's `Daily/YYYY-MM-DD.md`
|
||||
- repo-local binding summary when project state changes
|
||||
|
||||
### Step 7: Final response
|
||||
|
||||
Include:
|
||||
- collection size and coverage summary
|
||||
- created / updated note paths
|
||||
- optional `obsidian://open` links
|
||||
- optional `obsidian open ...` suggestions when CLI is available
|
||||
|
||||
## Fallback behavior
|
||||
|
||||
If the repo is not bound to Obsidian:
|
||||
- create `reading-notes-{collection}.md`
|
||||
- if `format=comparison` and promoted claims pass the evidence gate, also create `comparison-matrix.md`
|
||||
|
||||
## Notes
|
||||
|
||||
- Zotero remains the source of truth for collection structure, metadata, attachments, PDF full text, and annotations.
|
||||
- Obsidian remains the durable project knowledge surface for reading notes, project relevance, and cross-note linking.
|
||||
- Default bridge targets are `Sources/Papers/` and `Knowledge/`.
|
||||
- Do not dump raw full text into Obsidian paper notes.
|
||||
- Do not create `Concepts/` or `Datasets/` trees by default.
|
||||
- Refresh `Maps/literature.canvas` by default after a substantial Zotero ingestion pass.
|
||||
- Treat `Experiments/` and `Results/` as later project workflows, not the default Zotero-import destination.
|
||||
- Do not let abstract-only or webpage-placeholder items support durable claims.
|
||||
102
文档润色流和知识库构建流/claude-scholar-upstream/commands/zotero-review.md
Normal file
102
文档润色流和知识库构建流/claude-scholar-upstream/commands/zotero-review.md
Normal file
@@ -0,0 +1,102 @@
|
||||
---
|
||||
name: zotero-review
|
||||
description: Read and analyze papers from a Zotero collection, then synthesize them into the bound Obsidian project knowledge base or markdown review outputs
|
||||
args:
|
||||
- name: collection
|
||||
description: Zotero collection name or keyword to search
|
||||
required: true
|
||||
- name: depth
|
||||
description: Analysis depth (quick/deep)
|
||||
required: false
|
||||
default: deep
|
||||
tags: [Research, Zotero, Obsidian, Literature Review, Paper Analysis]
|
||||
---
|
||||
|
||||
# /zotero-review - Zotero Collection Literature Analysis
|
||||
|
||||
Read and analyze papers in the Zotero collection "$collection", with analysis depth "$depth".
|
||||
|
||||
## Default target
|
||||
|
||||
- **Preferred target**: the bound Obsidian project knowledge base
|
||||
- **Fallback target**: `related-work-draft.md` in the current working directory
|
||||
|
||||
## Workflow
|
||||
|
||||
### Step 0: Resolve the project context
|
||||
|
||||
1. If the current repo is already bound to an Obsidian project KB, use that project root.
|
||||
2. If the repo looks like a research project but is not bound yet, bootstrap it first.
|
||||
3. If there is no project binding, generate the review in the working directory.
|
||||
|
||||
### Step 1: Locate and read the Zotero collection
|
||||
|
||||
1. Call `mcp__zotero__zotero_get_collections` to find the matching collection.
|
||||
2. Call `mcp__zotero__zotero_get_collection_items` to get all papers.
|
||||
3. For each paper:
|
||||
- call `mcp__zotero__zotero_get_item_metadata` with `include_abstract: true`
|
||||
- call `mcp__zotero__zotero_get_item_fulltext` when available
|
||||
- use abstract metadata as fallback when PDF full text is unavailable
|
||||
4. If MCP transport fails but a local `zotero-mcp` checkout is available, use the local Python fallback instead of aborting.
|
||||
5. Treat Zotero `webpage` items as weak-source entries unless they clearly expose full paper metadata and useful full text. Abstract-only or placeholder pages can appear in coverage summaries, but cannot support `Knowledge`, `Writing`, manuscript, or rebuttal claims.
|
||||
|
||||
### Step 2: Ensure detailed paper notes exist
|
||||
|
||||
Before high-level synthesis, ensure the collection has durable paper notes.
|
||||
|
||||
If the project is Obsidian-bound:
|
||||
- create or update `Sources/Papers/*.md` canonical notes first
|
||||
- keep one canonical paper note per paper whenever possible
|
||||
- align notes to the canonical schema (`Claim / Method / Evidence / Limitation / Direct relevance to repo / Relation to other papers`)
|
||||
- update the best matching `Knowledge/` literature synthesis notes
|
||||
- refresh `Maps/literature.canvas`
|
||||
- update a collection inventory note with item -> note mapping and coverage summary
|
||||
|
||||
If not Obsidian-bound:
|
||||
- create intermediate `paper-notes/*.md` files in the working directory when `depth=deep`
|
||||
|
||||
### Step 3: Synthesize across paper notes
|
||||
|
||||
Create or update:
|
||||
- `Knowledge/Literature Overview.md`
|
||||
- `Knowledge/Method Taxonomy.md` when useful
|
||||
- `Knowledge/Research Gaps.md` when useful
|
||||
- `Writing/related-work-draft.md` only when the user wants writing-facing synthesis and the promoted claims pass the evidence gate
|
||||
- `Writing/comparison-matrix.md` when useful and promoted claims pass the evidence gate
|
||||
|
||||
The synthesis should include:
|
||||
- thematic grouping
|
||||
- method families
|
||||
- key findings and tensions
|
||||
- research gaps
|
||||
- direct relevance to the current project
|
||||
- explicit links across `Sources/Papers/` and `Knowledge/`
|
||||
- Evidence Record IDs, source type, claim strength, allowed wording, and forbidden stronger wording for claims that may later enter writing or rebuttal
|
||||
|
||||
If core papers lack full text or Evidence Records, stop at a collection audit / claim map and state what is missing. Do not generate a polished related-work draft from weak notes.
|
||||
|
||||
### Step 4: Push downstream only when justified
|
||||
|
||||
- keep the default review surface in `Sources/Papers/`, `Knowledge/`, and `Maps/literature.canvas`
|
||||
- update `Writing/` only when the user wants a manuscript-facing review or comparison narrative and promoted claims pass the evidence gate
|
||||
- only update `Experiments/` or `Results/` in a later project workflow when the user explicitly wants that handoff
|
||||
|
||||
### Step 5: Minimal write-back
|
||||
|
||||
Always update:
|
||||
- today's `Daily/YYYY-MM-DD.md`
|
||||
- repo-local binding summary when project state changes
|
||||
|
||||
### Step 6: Final response
|
||||
|
||||
Include:
|
||||
- collection size and coverage summary
|
||||
- updated note paths
|
||||
- optional `obsidian://open` links
|
||||
- optional `obsidian open ...` suggestions when CLI is available
|
||||
|
||||
## Notes
|
||||
|
||||
- Prefer the Obsidian-bound project workflow over loose markdown files when available.
|
||||
- Keep `Sources/Papers/` first-class; the review should be grounded in canonical paper notes rather than only one-shot synthesis.
|
||||
- The default graph artifact is `Maps/literature.canvas`.
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user