docs-seeker

Detect query type and fetch llms.txt documentation sources for analysis.

Updated Dec 29, 2025
One-click install
npx skills add https://github.com/hiehoo/GoldScalpingBot --skill docs-seeker-hiehoo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/hiehoo/GoldScalpingBot/tree/main/docs-seeker
Command: npx skills add https://github.com/hiehoo/GoldScalpingBot --skill docs-seeker-hiehoo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Provides a script-first approach to discovering technical documentation. It detects whether a query is topic-specific or general, fetches documentation sources (llms.txt) from context7 or fallback sources, and analyzes results to guide agent distribution for efficient research.

Core Features & Use Cases

  • Topic Detection: Classifies queries into topic-specific vs general to target the right documentation sources.
  • Automated Fetching: Builds context7 URLs or falls back to general library URLs to retrieve llms.txt.
  • Results Analysis: Categorizes URLs by priority and suggests agent distribution for efficient research.
  • Use Case: A developer asks for Next.js caching strategies; docs-seeker locates relevant llms.txt and prioritizes the most impactful sources.

Quick Start

Run the topic detection script, then fetch docs, and finally analyze llms.txt to obtain a structured plan for agent distribution.