docs-seeker

Discover and synthesize technical documentation from llms.txt, GitHub repositories, and parallel explorers.

Updated Jan 30, 2026
One-click install
npx skills add https://github.com/liamtran96/msm-car-booking --skill docs-seeker-liamtran96
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/liamtran96/msm-car-booking/tree/main/.claude/skills/docs-seeker
Command: npx skills add https://github.com/liamtran96/msm-car-booking --skill docs-seeker-liamtran96

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates discovery and synthesis of technical documentation across llms.txt sources, GitHub repositories via Repomix, and parallel explorers, helping teams obtain comprehensive guidance when official docs are scattered.

Core Features & Use Cases

  • llms.txt-first discovery to centralize documentation from multiple ecosystems
  • Repository analysis via Repomix for large codebases and documentation embedded in repos
  • Parallel exploration with multiple agents to accelerate coverage and reduce wait times
  • Version-aware aggregation and conflict resolution across sources for smooth migrations
  • Use Case: A developer needs up-to-date API references and setup guides for a library with no single canonical docs page

Quick Start

  1. Specify the library or framework and desired version (default to latest)
  2. Initiate llms.txt search to locate official docs
  3. If llms.txt is unavailable, invoke Repomix repository analysis or parallel Explorer agents
  4. Review the synthesized report with sources and version notes

Frequently Asked Questions about docs-seeker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find up-to-date technical documentation when official docs are scattered across multiple sources?

Technical documentation discovery automates gathering up-to-date guidance by searching llms.txt sources, analyzing GitHub repositories via Repomix, and using parallel explorers to synthesize comprehensive references.

What is llms.txt and how does it work for documentation discovery?

llms.txt is a source-first discovery mechanism that centralizes documentation from multiple ecosystems, allowing automated tools to locate and aggregate official technical references into a single synthesized report.

Can I analyze large codebases to extract embedded documentation using Repomix?

Yes, Repomix repository analysis processes large codebases to extract documentation embedded in GitHub repositories, serving as a fallback when llms.txt sources are unavailable for gathering technical guidance.

What's the best way to resolve version conflicts when aggregating technical documentation?

Version-aware aggregation resolves conflicts across multiple documentation sources by specifying desired versions during discovery, ensuring smooth migrations and consistent guidance in the synthesized report.

Do I need parallel exploration agents to accelerate technical documentation coverage?

Parallel exploration with multiple agents accelerates documentation coverage and reduces wait times by simultaneously searching multiple sources, which is invoked when llms.txt and Repomix need supplemental discovery.

Does docs-seeker work with GitHub repositories that have no canonical documentation page?

Yes, docs-seeker targets libraries or frameworks lacking a single canonical docs page by automating discovery across llms.txt, Repomix repository analysis, and parallel explorers to gather comprehensive setup guides.