multiAI Summary Pending
doc-generator
Generate markdown documentation from Python codebases by analyzing source files, extracting docstrings, type hints, and code structure. Use when the user asks to document Python code, create API docs, or generate README files from source code.
231 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/doc-generator/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/bossjones/doc-generator/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/doc-generator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How doc-generator Compares
| Feature / Agent | doc-generator | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate markdown documentation from Python codebases by analyzing source files, extracting docstrings, type hints, and code structure. Use when the user asks to document Python code, create API docs, or generate README files from source code.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Python Documentation Generator Generate comprehensive markdown documentation from Python source code. ## When to Use This Skill - User asks to "document this code" or "generate docs" - Creating API documentation from Python modules - Generating README files with usage examples - Extracting docstrings and type signatures into readable format - User mentions "documentation", "docstrings", or "API reference" ## Input Accept either: - Single Python file path - Directory path (recursively process .py files) - List of specific files ## Output Format Generate standard markdown with: ```markdown # Module Name Brief description from module docstring. ## Classes ### ClassName Description from class docstring. **Methods:** - `method_name(param: type) -> return_type`: Brief description ## Functions ### function_name(param: type) -> return_type Description from docstring. **Parameters:** - `param` (type): Description **Returns:** - type: Description ## Usage Examples ```python # Extract from docstring examples or generate basic usage ``` ``` ## Analysis Approach 1. **Parse Python files** using AST or inspection 2. **Extract key elements:** - Module-level docstrings - Class definitions and docstrings - Function/method signatures with type hints - Docstring content (support Google, NumPy, Sphinx formats) 3. **Organize hierarchically** (modules -> classes -> methods -> functions) 4. **Generate clean markdown** with consistent formatting ## Quality Guidelines - Preserve original docstring formatting when meaningful - Include type hints prominently in signatures - Group related items (all classes together, all functions together) - Add table of contents for large modules - Skip private members (leading underscore) unless explicitly requested - Handle missing docstrings gracefully (note "No description provided") ## Python Tools Prefer standard library: - `ast` module for parsing - `inspect` module for runtime introspection - `pathlib` for file handling No external dependencies required for basic documentation generation. ## Error Handling - Skip files with syntax errors (log warning) - Handle missing type hints gracefully - Warn if no docstrings found but continue processing - Validate file paths exist before processing