inline-docs

To generate Python docstrings and JSDoc automatically, you can use the inline-docs Skill, which analyzes function signatures and code structure to produce relevant inline documentation comments. It supports multiple languages and optimizes token usage through caching and template-based generation.

Automated code documentation generation supports JavaScript/TypeScript, Python, Go, Rust, and Java. The Skill analyzes your code to create the appropriate inline documentation format for each specific language, such as JSDoc, Python docstrings, godoc, or Rustdoc.

Inline documentation generation handles large codebases by employing token optimization strategies. It uses caching, grep-based discovery to locate undocumented functions, and template-based generation to minimize LLM token usage during the documentation process.

Yes, you can generate Google-style docstrings for a complex Python function automatically. The Skill analyzes the function's parameters, return types, and structure to create a brief explanation, ensuring your team can easily understand the code.

The best way to add inline documentation to an existing project is to run an automated documentation Skill. It analyzes code structure across your project, discovers undocumented functions using grep, and generates relevant comments like JSDoc or Rustdoc instantly.

Limitations when generating Rustdoc and godoc automatically depend on the complexity of the code structure and function signatures. While the Skill optimizes token usage through caching, highly intricate or unconventional code patterns may require manual review to ensure accurate documentation generation.