documentation-generation-doc-generate
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
About this skill
This skill transforms an AI agent into a dedicated documentation expert, capable of generating detailed and maintainable technical documentation directly from source code. Utilizing AI-powered analysis and adhering to industry best practices, it can create various forms of documentation such as API specifications, architecture diagrams, user guides, and technical references. This skill is part of the 'antigravity-awesome-skills' collection, designed to enhance AI agents' capabilities in specialized tasks.
Best use case
Automating and standardizing the creation of various technical documentation types directly from source code, reducing manual effort, improving consistency, and accelerating the documentation pipeline.
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
Clearly structured, accurate, and comprehensive technical documentation (such as API references, architecture overviews, or user guides) derived directly from your codebase, consistently adhering to industry best practices and a defined style guide.
Practical example
Example input
Generate a comprehensive API documentation for the provided Python module `src/api/user_service.py`. Include details on all exposed functions, their parameters, return types, and example usage, formatted in Markdown. Pay special attention to docstrings and type hints.
Example output
```markdown
# User Service API Documentation
## Module: `user_service.py`
This module handles user-related operations, including creation, retrieval, update, and deletion of user accounts.
### Function: `create_user(username: str, email: str, password: str) -> dict`
**Description:** Registers a new user with the provided credentials.
**Parameters:**
- `username` (str): Unique username for the new user.
- `email` (str): User's email address.
- `password` (str): Secure password for the user account.
**Returns:**
- `dict`: A dictionary containing the new user's ID and a success message.
**Example Usage:**
```python
response = create_user("johndoe", "john@example.com", "StrongP@ssw0rd")
print(response) # {'user_id': '12345', 'message': 'User created successfully'}
```
### Function: `get_user_by_id(user_id: str) -> dict | None`
...
```When to use this skill
- When you need to quickly generate accurate and comprehensive documentation for APIs, software architectures, or user guides based on existing code.
- When building documentation pipelines or integrating documentation generation into CI/CD workflows.
- When aiming to standardize documentation format and content across multiple projects or development teams.
- When technical writers need a powerful assistant to draft initial documentation outlines or populate content from code.
When not to use this skill
- When documentation requires highly creative, subjective interpretation or storytelling that cannot be inferred from code.
- For generating non-technical content or marketing materials that are not directly tied to a codebase.
- When the source code is proprietary, sensitive, or cannot be exposed to an external AI agent due to strict security or compliance policies.
- For manual, hands-on documentation tasks where human oversight and nuanced decision-making are paramount at every step.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/documentation-generation-doc-generate/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How documentation-generation-doc-generate Compares
| Feature / Agent | documentation-generation-doc-generate | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
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.
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SKILL.md Source
# Automated Documentation Generation You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices. ## Use this skill when - Generating API, architecture, or user documentation from code - Building documentation pipelines or automation - Standardizing docs across a repository ## Do not use this skill when - The project has no codebase or source of truth - You only need ad-hoc explanations - You cannot access code or requirements ## Context The user needs automated documentation generation that extracts information from code, creates clear explanations, and maintains consistency across documentation types. Focus on creating living documentation that stays synchronized with code. ## Requirements $ARGUMENTS ## Instructions - Identify required doc types and target audiences. - Extract information from code, configs, and comments. - Generate docs with consistent terminology and structure. - Add automation (linting, CI) and validate accuracy. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Safety - Avoid exposing secrets, internal URLs, or sensitive data in docs. ## Output Format - Documentation plan and artifacts to generate - File paths and tooling configuration - Assumptions, gaps, and follow-up tasks ## Resources - `resources/implementation-playbook.md` for detailed examples and templates.
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