What problem does it solve? Keeping technical documentation accurate and current is difficult when API references, user guides, and doc sites are written and maintained manually. This Skill provides concrete patterns for generating documentation directly from code annotations and automating doc builds in CI/CD pipelines. ## Core Features & Use Cases - Code-to-Docs Generation: Produce API reference documentation from Python docstrings (Sphinx, mkdocstrings), TypeScript (TypeDoc), and JavaScript (JSDoc). - OpenAPI Documentation: Enhance and export OpenAPI specs from FastAPI or Express with swagger-jsdoc, rendered via Swagger UI or Redoc. - Static Doc Sites & CI/CD: Build documentation sites with Nextra, Docusaurus, VitePress, or MkDocs Material and automate deployment through GitHub Actions. - Use Case: A team shipping a FastAPI service uses this Skill to enrich route docstrings and Pydantic models, export openapi.json, and deploy a versioned MkDocs site to GitHub Pages on every merge. ## Quick Start Ask the AI to generate API documentation for your Python package using Sphinx with autodoc and deploy it via a GitHub Actions workflow.