How does gh-docs handle unfamiliar libraries?

It searches for the official repository, clones the code to a local directory, and uses a research agent to find documentation and usage patterns within the source files.

Why use this skill instead of a web search?

The skill provides a more granular analysis by looking at the actual source code, internal APIs, and test files, which often contain details omitted from high-level documentation.

Where are the cloned repositories stored?

Repositories are typically cloned into /tmp/cc-repos, allowing Claude to reference them quickly throughout your coding session.

What is the gh-docs Claude Code skill?

It is a skill that allows Claude to search for, clone, and analyze GitHub repositories to answer technical questions about libraries and packages.

Which package managers are supported by gh-docs?

It can identify repositories for major package managers including npm (JavaScript), PyPI (Python), Go modules, and Cargo (Rust).

GitHub Library Docs

Name: GitHub Library Docs
Author: udecode

byudecode

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1,125

Learning & Documentation

Accesses and analyzes library documentation and source code directly from GitHub repositories to provide accurate technical answers.

About

GitHub Docs (gh-docs) is a specialized research skill for Claude Code that enables the autonomous discovery and analysis of package documentation and source code. When developers encounter unfamiliar libraries or need specific API details, this skill allows Claude to locate the official GitHub repository, clone it locally, and deploy a research sub-agent to explore the codebase. It goes beyond static documentation by examining actual source code, tests, and examples, ensuring developers get the most accurate and up-to-date implementation patterns directly from the source of truth.

Key Features

Deep-dive analysis of API exports and public interfaces
Automated repository discovery for npm, PyPI, Go, and Rust packages
Extraction of usage patterns from real-world examples and test suites
1,125 GitHub stars
Sub-agent research capabilities for complex architectural questions
On-demand cloning and local caching of source code repositories

Use Cases

Learning the API of a niche or newly released library not in the model's training data
Finding practical implementation examples for libraries with sparse official documentation
Understanding how a specific library handles edge cases by inspecting its internal source code

About

Key Features

Deep-dive analysis of API exports and public interfaces
Automated repository discovery for npm, PyPI, Go, and Rust packages
Extraction of usage patterns from real-world examples and test suites
1,125 GitHub stars
Sub-agent research capabilities for complex architectural questions
On-demand cloning and local caching of source code repositories

Use Cases

Learning the API of a niche or newly released library not in the model's training data
Finding practical implementation examples for libraries with sparse official documentation
Understanding how a specific library handles edge cases by inspecting its internal source code