skills.rest
khoi1009
khoi1009COMMUNITY
Explore all skills by this author →
GitHub

docs-seeker

Classify documentation queries and construct context7 URLs for agent distribution.

Updated Jan 1, 2026
Search Tags:#automation#documentation#docs#llms.txt#context7#repo-analysis#topic-detection
Ready to run
npx skills add https://github.com/khoi1009/Vibecode-with-Multi-Agent-LongCoT --skill docs-seeker-khoi1009
💬 Prompt for ChatGPT / Claude Chat▼
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/khoi1009/Vibecode-with-Multi-Agent-LongCoT/tree/main/skills/docs-seeker
Command: npx skills add https://github.com/khoi1009/Vibecode-with-Multi-Agent-LongCoT --skill docs-seeker-khoi1009

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates documentation discovery by classifying queries, constructing context7 URLs, and processing llms.txt results.

Core Features & Use Cases

  • Topic-based vs general queries detection
  • Context7 URL construction for topic-specific and general searches
  • llms.txt processing and analysis to guide agent distribution
  • Use case: Quickly fetch topic-specific docs and allocate multiple agents to gather diverse sources

Quick Start

Run the topic-detection and docs-fetch steps, then analyze llms.txt to determine the recommended agent distribution and begin the reconnaissance workflow.