backup materials and knowledge-base docs

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---
name: skill-development
description: This skill should be used when the user asks to create a new skill, repair an existing skill, improve trigger descriptions, reorganize skill structure, or make a Claude skill more reusable and internally consistent.
version: 0.2.0
---
# Skill Development
Use this skill to create or repair Claude skills in the **current local environment**, not in an abstract plugin template.
## Goal
Produce a skill that is:
- easy to trigger,
- lean at the `SKILL.md` layer,
- backed by real `references/`, `examples/`, and `scripts/` files when they are mentioned,
- free of dead local references.
## Core rules
- Keep **one skill = one durable job**.
- Treat the frontmatter description as the main trigger surface.
- Keep `SKILL.md` focused on workflow and boundaries.
- Move detailed catalogs, templates, and long explanations into `references/` or `examples/`.
- Do not mention files that do not exist.
- Do not inherit stale names, agents, or sibling skill references without verifying they exist locally.
## Default workflow
### 1. Inspect the current environment first
Before writing anything:
- inspect the target skill directory,
- inspect neighboring skills that already solve a similar problem,
- verify which agents, commands, and sibling skills actually exist,
- identify stale references before adding new ones.
Use the local inventory as the authority. Do not write guidance against an imagined plugin layout.
### 2. Lock the skill contract
Define four things before editing:
1. what the skill does,
2. what triggers it,
3. what it explicitly does **not** do,
4. which bundled resources are actually needed.
If the skill only needs a short workflow, keep it short. Do not create `references/`, `examples/`, or `scripts/` just because the directories are conventional.
### 3. Write or repair the frontmatter
The frontmatter should:
- use the real skill identifier in `name`,
- use a third-person trigger description,
- include concrete phrases a user would naturally say,
- stay short enough to scan quickly.
Prefer descriptions of this form:
```yaml
---
name: skill-name
description: This skill should be used when the user asks to "...", "...", or needs help with ....
---
```
### 4. Keep the main file lean
A good `SKILL.md` should usually contain:
- a short goal section,
- role boundaries,
- a default workflow,
- safety or quality rules,
- a short list of additional resources.
Move these out of the main file when they get long:
- templates,
- exhaustive checklists,
- edge-case catalogs,
- sample outputs,
- long examples.
### 5. Add only real bundled resources
Use bundled resources deliberately:
- `references/` for detailed guidance that may be loaded selectively,
- `examples/` for real example outputs or scaffolds,
- `scripts/` for deterministic helper logic.
If a resource is mentioned in `SKILL.md`, it must exist.
If a resource exists but is never referenced or used, delete it.
### 6. Run integrity checks before closing
At minimum, verify:
- frontmatter parses,
- referenced local files exist,
- sibling skill or agent references are real,
- `SKILL.md` is not overloaded with material that belongs in references,
- temporary logs, caches, and editor artifacts are not left inside the skill directory.
## Typical repair patterns
### When the skill is too long
- keep the trigger and workflow in `SKILL.md`,
- move catalogs and deep detail into `references/`,
- keep a short read order so another model knows what to load first.
### When the skill is too thin
- add a default workflow,
- add at least one concrete example or checklist,
- make the boundaries explicit so the skill is not just a slogan.
### When the skill has stale references
- remove dead paths immediately,
- replace historical names with current local names,
- re-check neighboring agents/commands/skills against the live directory.
## Recommended output shape
When creating or repairing a skill, prefer ending with:
- what changed,
- which files were created or updated,
- what integrity checks were run,
- what still needs manual follow-up, if anything.
## References
Load only what is needed:
- `references/checklist.md` - compact quality checklist before closing a skill edit
- `references/integrity-checks.md` - concrete local checks for missing files, dead references, and drift
- `references/skill-creator-original.md` - legacy background reference; use for context, not as the live source of truth

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# Skill Development Checklist
## Trigger quality
- Does the frontmatter use third-person trigger phrasing?
- Does it include natural user phrases?
- Does it reflect the real scope of the skill?
## Main file quality
- Is the workflow obvious from a quick read?
- Are boundaries explicit?
- Is long detail pushed into references/examples instead of the main file?
## Resource integrity
- Does every referenced file exist?
- Are example files real and relevant?
- Are scripts actually callable?
## Environment integrity
- Are sibling skill/agent references still real in the current repo?
- Are caches, logs, and editor artifacts removed?

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# Skill Integrity Checks
## Minimal local checks
```bash
# referenced files exist
rg -n "references/|examples/|scripts/|assets/" SKILL.md
# skill inventory
find . -maxdepth 2 -type f | sort
# obvious editor/cache noise
find . -type d -name "__pycache__" -o -name ".DS_Store"
```
## Common failure modes
- `SKILL.md` mentions references that were never created.
- A migrated skill still refers to old agent or plugin names.
- The directory contains logs or session artifacts.
- The frontmatter name and the directory slug drift apart.
- The skill promises a script-based path but ships no runnable script.

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---
name: skill-creator
description: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
license: Complete terms in LICENSE.txt
---
# Skill Creator
This skill provides guidance for creating effective skills.
## About Skills
Skills are modular, self-contained packages that extend Claude's capabilities by providing
specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific
domains or tasks—they transform Claude from a general-purpose agent into a specialized agent
equipped with procedural knowledge that no model can fully possess.
### What Skills Provide
1. Specialized workflows - Multi-step procedures for specific domains
2. Tool integrations - Instructions for working with specific file formats or APIs
3. Domain expertise - Company-specific knowledge, schemas, business logic
4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks
### Anatomy of a Skill
Every skill consists of a required SKILL.md file and optional bundled resources:
```
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter metadata (required)
│ │ ├── name: (required)
│ │ └── description: (required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ - Executable code (Python/Bash/etc.)
├── references/ - Documentation intended to be loaded into context as needed
└── assets/ - Files used in output (templates, icons, fonts, etc.)
```
#### SKILL.md (required)
**Metadata Quality:** The `name` and `description` in YAML frontmatter determine when Claude will use the skill. Be specific about what the skill does and when to use it. Use the third-person (e.g. "This skill should be used when..." instead of "Use this skill when...").
#### Bundled Resources (optional)
##### Scripts (`scripts/`)
Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.
- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed
- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks
- **Benefits**: Token efficient, deterministic, may be executed without loading into context
- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments
##### References (`references/`)
Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking.
- **When to include**: For documentation that Claude should reference while working
- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications
- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
- **Benefits**: Keeps SKILL.md lean, loaded only when Claude determines it's needed
- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md
- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.
##### Assets (`assets/`)
Files not intended to be loaded into context, but rather used within the output Claude produces.
- **When to include**: When the skill needs files that will be used in the final output
- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography
- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
- **Benefits**: Separates output resources from documentation, enables Claude to use files without loading them into context
### Progressive Disclosure Design Principle
Skills use a three-level loading system to manage context efficiently:
1. **Metadata (name + description)** - Always in context (~100 words)
2. **SKILL.md body** - When skill triggers (<5k words)
3. **Bundled resources** - As needed by Claude (Unlimited*)
*Unlimited because scripts can be executed without reading into context window.
## Skill Creation Process
To create a skill, follow the "Skill Creation Process" in order, skipping steps only if there is a clear reason why they are not applicable.
### Step 1: Understanding the Skill with Concrete Examples
Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.
To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.
For example, when building an image-editor skill, relevant questions include:
- "What functionality should the image-editor skill support? Editing, rotating, anything else?"
- "Can you give some examples of how this skill would be used?"
- "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?"
- "What would a user say that should trigger this skill?"
To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness.
Conclude this step when there is a clear sense of the functionality the skill should support.
### Step 2: Planning the Reusable Skill Contents
To turn concrete examples into an effective skill, analyze each example by:
1. Considering how to execute on the example from scratch
2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly
Example: When building a `pdf-editor` skill to handle queries like "Help me rotate this PDF," the analysis shows:
1. Rotating a PDF requires re-writing the same code each time
2. A `scripts/rotate_pdf.py` script would be helpful to store in the skill
Example: When designing a `frontend-webapp-builder` skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows:
1. Writing a frontend webapp requires the same boilerplate HTML/React each time
2. An `assets/hello-world/` template containing the boilerplate HTML/React project files would be helpful to store in the skill
Example: When building a `big-query` skill to handle queries like "How many users have logged in today?" the analysis shows:
1. Querying BigQuery requires re-discovering the table schemas and relationships each time
2. A `references/schema.md` file documenting the table schemas would be helpful to store in the skill
To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets.
### Step 3: Initializing the Skill
At this point, it is time to actually create the skill.
Skip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step.
When creating a new skill from scratch, always run the `init_skill.py` script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable.
Usage:
```bash
scripts/init_skill.py <skill-name> --path <output-directory>
```
The script:
- Creates the skill directory at the specified path
- Generates a SKILL.md template with proper frontmatter and TODO placeholders
- Creates example resource directories: `scripts/`, `references/`, and `assets/`
- Adds example files in each directory that can be customized or deleted
After initialization, customize or remove the generated SKILL.md and example files as needed.
### Step 4: Edit the Skill
When editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of Claude to use. Focus on including information that would be beneficial and non-obvious to Claude. Consider what procedural knowledge, domain-specific details, or reusable assets would help another Claude instance execute these tasks more effectively.
#### Start with Reusable Skill Contents
To begin implementation, start with the reusable resources identified above: `scripts/`, `references/`, and `assets/` files. Note that this step may require user input. For example, when implementing a `brand-guidelines` skill, the user may need to provide brand assets or templates to store in `assets/`, or documentation to store in `references/`.
Also, delete any example files and directories not needed for the skill. The initialization script creates example files in `scripts/`, `references/`, and `assets/` to demonstrate structure, but most skills won't need all of them.
#### Update SKILL.md
**Writing Style:** Write the entire skill using **imperative/infinitive form** (verb-first instructions), not second person. Use objective, instructional language (e.g., "To accomplish X, do Y" rather than "You should do X" or "If you need to do X"). This maintains consistency and clarity for AI consumption.
To complete SKILL.md, answer the following questions:
1. What is the purpose of the skill, in a few sentences?
2. When should the skill be used?
3. In practice, how should Claude use the skill? All reusable skill contents developed above should be referenced so that Claude knows how to use them.
### Step 5: Packaging a Skill
Once the skill is ready, it should be packaged into a distributable zip file that gets shared with the user. The packaging process automatically validates the skill first to ensure it meets all requirements:
```bash
scripts/package_skill.py <path/to/skill-folder>
```
Optional output directory specification:
```bash
scripts/package_skill.py <path/to/skill-folder> ./dist
```
The packaging script will:
1. **Validate** the skill automatically, checking:
- YAML frontmatter format and required fields
- Skill naming conventions and directory structure
- Description completeness and quality
- File organization and resource references
2. **Package** the skill if validation passes, creating a zip file named after the skill (e.g., `my-skill.zip`) that includes all files and maintains the proper directory structure for distribution.
If validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again.
### Step 6: Iterate
After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed.
**Iteration workflow:**
1. Use the skill on real tasks
2. Notice struggles or inefficiencies
3. Identify how SKILL.md or bundled resources should be updated
4. Implement changes and test again