An automated tool for scanning codebases and generating client-ready technical documentation including API specs and architecture diagrams.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install technical-doc-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install technical-doc-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Technical Documentation Generator?
This skill empowers developers to transform raw codebases into polished, professional documentation suites. By leveraging Openclaw Skills, the generator scans project structures, configuration files, and source code to produce comprehensive READMEs, API references, and system architecture overviews. It eliminates the manual drudgery of keeping docs in sync with code, ensuring that every project has high-quality onboarding guides and changelogs from day one.
The tool is designed to be framework-agnostic, supporting everything from Express and FastAPI to Ruby on Rails and Go. It doesn't just list files; it understands the logical flow of your application, extracting endpoints, data models, and environment configurations to create documentation that is actually useful for developers and stakeholders alike.
Technical Documentation Generator Use Cases
- Generating a comprehensive README for a new open-source project to improve adoption.
- Creating OpenAPI/Swagger specifications and human-readable API docs for existing REST APIs.
- Visualizing system architecture and data flows using Mermaid diagrams for stakeholder reviews.
- Automating changelog generation from Git history using semantic versioning categories.
- Building developer onboarding guides to accelerate team integration and reduce setup friction.
How Technical Documentation Generator Works
- The agent identifies the codebase path and the specific documentation type requested by the user.
- It performs a strategic scan of package managers (e.g., package.json, pyproject.toml, go.mod) to detect the technology stack and dependencies.
- For API documentation, the skill extracts routes, methods, and parameters to build a formal specification and human-readable guide.
- For architecture overviews, it maps directory structures and component relationships to generate visual Mermaid diagrams.
- The skill parses Git logs to categorize commits into structured changelog sections like Added, Fixed, and Changed.
- All gathered data is synthesized into high-quality Markdown files and saved to a designated output directory.
Technical Documentation Generator Setup
To utilize this skill within your Openclaw Skills workflow, ensure the AI agent has read access to the target repository. You can trigger the generation process using the following command structure:
/technical-doc-generator [path-to-repo] [doc-type]
Available document types include api-docs, readme, architecture, changelog, onboarding, or full for a complete documentation package.
Technical Documentation Generator Data Schema & Taxonomy
The skill organizes generated content into a structured output directory, typically following this taxonomy:
| File/Folder | Purpose |
|---|---|
docs/README.md |
Primary project overview, setup instructions, and usage guide. |
docs/API.md |
Detailed endpoint documentation with request/response examples. |
docs/openapi.yaml |
Standardized OpenAPI/Swagger specification for the detected API. |
docs/ARCHITECTURE.md |
High-level system design including Mermaid component diagrams. |
docs/CHANGELOG.md |
History of project changes derived from semantic Git commits. |
docs/ONBOARDING.md |
Step-by-step guide for setting up the local development environment. |
docs/diagrams/ |
Directory containing source files for architecture and flow diagrams. |
Technical Documentation Generator Advanced Features
- Intelligent framework detection supporting multiple languages including Python, JavaScript, Go, and Ruby.
- Automatic Mermaid.js diagram generation for visual system architecture mapping.
- Semantic Git log parsing that filters out noise like merge commits and CI updates.
- Deep environment analysis to automatically document required .env variables and configurations.
- Full-suite generation mode that bundles all documentation types into a ready-to-deliver docs folder.
SKILL.md
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