docs-seeker

Classify documentation queries and fetch relevant URLs from context7.com.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/hanthienduc/myprotocol-stack --skill docs-seeker-hanthienduc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/hanthienduc/myprotocol-stack/tree/main/.claude/skills/docs-seeker
Command: npx skills add https://github.com/hanthienduc/myprotocol-stack --skill docs-seeker-hanthienduc

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Sifting through vast technical documentation or GitHub repositories to find specific answers is time-consuming and inefficient. This skill automates the entire documentation discovery process, from query classification to intelligent agent distribution, ensuring you get highly targeted information quickly.

Core Features & Use Cases

  • Intelligent Query Detection: Automatically classifies user queries as "topic-specific" or "general library" to tailor the search strategy, ensuring minimal token usage and highly relevant results.
  • Script-First Fetching & Analysis: Uses executable Node.js scripts (detect-topic.js, fetch-docs.js, analyze-llms-txt.js) to construct context7.com URLs, handle fallbacks, and analyze llms.txt content, providing optimal agent distribution recommendations.
  • Automated Agent Distribution: Recommends the most efficient strategy for deploying AI agents (single, parallel, or phased) based on the number and priority of discovered documentation URLs, maximizing efficiency and coverage.
  • Use Case: You need to know "How to use date picker in shadcn?". This skill will detect it as a topic-specific query, fetch only the relevant documentation URLs from context7.com, and present the precise information, saving you from manually browsing shadcn/ui docs.

Quick Start

Find documentation on "Next.js caching strategies".