Can this skill find documentation for specific versions of a library?

Yes, Docs Seeker can be configured to search version-specific paths (like /v2/) or check out specific Git tags and branches when performing repository analysis.

How does Docs Seeker handle GitHub repositories?

It uses Repomix to pack the entire repository—or specific directories—into a single XML file that preserves directory structure, making it easy for Claude to understand the codebase context.

Why does the skill launch multiple explorer agents?

For extensive documentation, a single pass can be slow or exceed context limits. Parallel agents allow the skill to process different sections (API, Guides, Examples) at the same time for faster results.

What is the advantage of llms.txt for Claude?

The llms.txt standard provides documentation in a Markdown format specifically optimized for Large Language Models, allowing Claude to consume information faster and more accurately than scraping standard HTML pages.

Docs Seeker

Name: Docs Seeker
Author: GGPrompts

byGGPrompts

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Learning & Documentation

Discovers and analyzes technical documentation using AI-optimized standards, repository analysis, and parallel agent exploration.

About

Docs Seeker is a specialized skill designed to streamline how Claude accesses and processes technical documentation for libraries and frameworks. By prioritizing the llms.txt standard and utilizing tools like Repomix for GitHub repository analysis, it ensures that Claude always works with the most accurate and up-to-date context. The skill excels at handling large documentation sets through parallel agent deployment, allowing it to crawl multiple sections simultaneously and aggregate findings into a cohesive, standardized report, which is essential for working with rapidly evolving ecosystems or complex open-source projects.

Key Features

2 GitHub stars
Uses Repomix to convert GitHub repositories into single, structured AI-readable files
Prioritizes llms.txt discovery for high-efficiency, AI-ready documentation ingestion
Supports explicit version handling for targeted documentation retrieval
Provides standardized output formats including source methodology and key info extraction
Deploys parallel Explorer agents to analyze multiple documentation URLs simultaneously

Use Cases

Gaining comprehensive context on large documentation sites without manual page-by-page reading
Quickly indexing the latest API changes for modern frameworks like Astro, Next.js, or Remix
Analyzing undocumented or poorly documented libraries by scanning their source code via GitHub

About

Key Features

2 GitHub stars
Uses Repomix to convert GitHub repositories into single, structured AI-readable files
Prioritizes llms.txt discovery for high-efficiency, AI-ready documentation ingestion
Supports explicit version handling for targeted documentation retrieval
Provides standardized output formats including source methodology and key info extraction
Deploys parallel Explorer agents to analyze multiple documentation URLs simultaneously

Use Cases

Gaining comprehensive context on large documentation sites without manual page-by-page reading
Quickly indexing the latest API changes for modern frameworks like Astro, Next.js, or Remix
Analyzing undocumented or poorly documented libraries by scanning their source code via GitHub