Does it include code examples in the documentation?

Absolutely. It analyzes the code to include practical usage examples, making the documentation more helpful for other developers.

Which programming languages are supported?

The Documentation Generator supports JavaScript, TypeScript, Python, Rust, Java, and Go, adhering to the specific standards of each language.

Does it support different Python docstring styles?

Yes, it can generate Python docstrings in Google, NumPy, or Sphinx styles to match your project's specific conventions.

Can it generate project-level README files?

Yes, it can create complete README.md files including project overviews, installation steps, usage examples, and API references.

Will it overwrite my existing documentation?

No, the skill is designed to identify and fill in missing documentation while respecting and matching your existing manual documentation style.

Documentation Generator

Name: Documentation Generator
Author: CuriousLearner

byCuriousLearner

•

Learning & Documentation

Automatically generates standardized code documentation, API references, and comprehensive README files across multiple programming languages.

The Documentation Generator skill streamlines the development lifecycle by automating the creation of high-quality, standardized documentation. By performing deep code analysis, it extracts function signatures, parameter types, return values, and potential exceptions to produce language-specific documentation like JSDoc, Python docstrings, and Rustdoc. It is particularly effective for maintaining consistency across large codebases, ensuring that every module, class, and function is clearly explained with usage examples and edge cases. Whether you are documenting a single file or generating a project-level README, this skill adheres to industry best practices to improve code maintainability and team collaboration.

Key Features

01Multi-language support for JavaScript, TypeScript, Python, Rust, Java, and Go

0216 GitHub stars

03Context-aware README.md generation with installation and usage guides

04Consistency-focused logic that matches existing project documentation styles

05Automatic generation of JSDoc, Google-style docstrings, and Javadoc

06Deep analysis of code signatures, side effects, and error handling

Use Cases

01Automating API documentation for a library or internal SDK

02Improving legacy codebases by generating missing docstrings and type information

03Standardizing documentation standards across a diverse, multi-language engineering team

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add curiouslearner/devkit documentation-generator

For use in Claude.ai and ChatGPT

Download Skill