How does Docs Seeker handle large GitHub repositories?

It utilizes Repomix to pack the repository into a single, AI-friendly XML file, preserving structure while optimizing the content for Claude's analysis.

What happens if a library doesn't have an official documentation site?

The skill falls back to searching for the official GitHub repository or deploying Researcher agents to find community guides and API mirrors.

Why does Docs Seeker use parallel agents?

Parallel exploration allows the skill to scan multiple documentation URLs simultaneously, providing comprehensive coverage in a fraction of the time.

What is the llms.txt standard used by Docs Seeker?

llms.txt is a standard for providing documentation in a format specifically optimized for Large Language Models to ingest quickly and accurately.

Can I search for documentation for a specific version of a library?

Yes, the skill includes logic to search for versioned paths, specific Git tags, or releases to ensure you aren't looking at deprecated information.

Docs Seeker

Name: Docs Seeker
Author: GGPrompts

byGGPrompts

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学習とドキュメンテーション

Searches and analyzes technical documentation using the llms.txt standard, GitHub repository processing, and parallel agent exploration to provide up-to-date framework insights.

概要

Docs Seeker is a specialized capability for Claude Code designed to discover, ingest, and synthesize technical documentation from across the web. It prioritizes the AI-optimized llms.txt standard for high-speed accuracy but can intelligently pivot to deep GitHub repository analysis via Repomix or deploy multiple parallel Explorer agents to aggregate data from scattered sources. This skill is essential for developers working with rapidly evolving libraries, niche frameworks, or specific version requirements where standard AI training data may be outdated or incomplete.

主な機能

Native support for the llms.txt documentation standard
Deep GitHub repository analysis using Repomix
Version-specific search and repository branch handling
2 GitHub stars
Consolidated reporting of API references and best practices
Parallel multi-agent exploration for fast documentation coverage

ユースケース

Analyzing a library's internal logic by processing its entire GitHub repository
Aggregating scattered tutorial and reference pages into a single structured guide
Retrieving the latest API changes for rapidly updating frameworks like Next.js or Astro

概要

主な機能

Native support for the llms.txt documentation standard
Deep GitHub repository analysis using Repomix
Version-specific search and repository branch handling
2 GitHub stars
Consolidated reporting of API references and best practices
Parallel multi-agent exploration for fast documentation coverage

ユースケース

Analyzing a library's internal logic by processing its entire GitHub repository
Aggregating scattered tutorial and reference pages into a single structured guide
Retrieving the latest API changes for rapidly updating frameworks like Next.js or Astro