docs-seeker

Fetch and analyze llms.txt documentation from context7.com to rank sources by priority.

Updated Jun 16, 2025
One-click install
npx skills add https://github.com/Stonelukas/Mouse-on-Numpad --skill docs-seeker-stonelukas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/Stonelukas/Mouse-on-Numpad/tree/main/.opencode/skill/docs-seeker
Command: npx skills add https://github.com/Stonelukas/Mouse-on-Numpad --skill docs-seeker-stonelukas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Efficiently locate relevant library/framework documentation with script-driven discovery and targeted llms.txt sources.

Core Features & Use Cases

  • Script-driven topic detection, doc fetch, and llms.txt analysis for precise results
  • Topic-specific and general-library search workflows with built-in fallbacks
  • Repository analysis as fallback when docs are unavailable, ensuring coverage

Quick Start

Execute the topic-detection, documentation fetch, and llms.txt analysis workflow to retrieve and analyze documentation results.

Frequently Asked Questions about docs-seeker

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

FAQPage Schema
How do I discover library documentation for a specific programming topic?

Library documentation discovery is handled by fetching llms.txt from context7.com, ranking sources by priority, and generating a consolidated AI-friendly report covering installation, concepts, APIs, and examples.

What is the best way to analyze an llms.txt file for API documentation?

The best way to analyze an llms.txt file is through scripted workflows that rank documentation sources by priority (critical, important, supplementary) to determine a multi-agent retrieval strategy and summarize APIs.

Can I use repository analysis as a fallback when library docs are unavailable?

Yes, you can use repository analysis as a fallback. When standard documentation is unavailable, the Skill provides fallback guidance to analyze the repository directly, ensuring continued coverage.

Does context7.com work with automated documentation retrieval workflows?

Yes, context7.com works with automated retrieval workflows. Scripted workflows fetch llms.txt from context7.com to perform topic detection and documentation analysis automatically.

How do I rank documentation sources by priority for an AI-friendly report?

You can rank documentation sources by analyzing the fetched llms.txt to categorize them into critical, important, and supplementary tiers, which determines an optimal multi-agent retrieval strategy for the report.