Where is the researched information saved?

Findings are stored in Markdown and JSON formats within `.claude/skills/library-knowledge/` for project-specific data or `~/.claude/skills/library-knowledge/` for global use.

Does this skill execute third-party code?

Yes, during the validation phase, it creates a temporary directory to install the library and run basic test scripts to confirm runtime behavior and TypeScript compatibility.

How does the 'Clone-First' approach work?

It clones the library's source repository locally to analyze manifest files, directory structures, test suites, and example code directly, providing a more accurate understanding than documentation alone.

Which package registries are supported?

The skill currently supports npm (JavaScript/TypeScript), PyPI (Python), Crates.io (Rust), Go Proxy, and GitHub repositories.

Library Research Specialist

Name: Library Research Specialist
Author: masseater

bymasseater

•

学習とドキュメンテーション

Performs exhaustive library and framework investigations by cloning repositories and analyzing source code to build a persistent knowledge base.

The Library Research skill automates the process of deeply understanding third-party software by prioritizing direct source code analysis over superficial documentation. Using a 'Clone-First' workflow, it programmatically extracts metadata from registries like npm and PyPI, analyzes repository structures, and validates library behavior through automated test executions in temporary environments. It synthesizes findings from READMEs, examples, and issues into a structured, versioned knowledge base stored within your project or user profile, ensuring that critical technical insights, edge cases, and runtime compatibility are always available to your AI assistant.

主な機能

01Intelligent tracking to prevent redundant external documentation searches

02Persistent knowledge base with project-specific or global scoping

03Real-world verification via temporary installation and test execution

04Clone-First repository analysis for deep architectural insights

051 GitHub stars

06Automated metadata fetching from npm, PyPI, Crates.io, Go, and GitHub

ユースケース

01Evaluating a new framework's production readiness and API ergonomics

02Investigating breaking changes and undocumented edge cases in library updates

03Building a local knowledge base of dependencies for offline AI assistance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add masseater/claude-code-plugin library-research

For use in Claude.ai and ChatGPT

Download Skill