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Komi-san-kugi
Komi-san-kugiCOMMUNITY
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docs-seeker

Discovers and synthesizes technical documentation from multiple sources into a cohesive report.

Updated Jan 4, 2026
Search Tags:#documentation#discovery#GitHub#parallel#llms.txt#Repomix
Ready to run
npx skills add https://github.com/Komi-san-kugi/elaina-portfolio --skill docs-seeker-komi-san-kugi
💬 Prompt for ChatGPT / Claude Chat▼
Please help me install this Agent Skill.
Skill: docs-seeker
Source: https://github.com/Komi-san-kugi/elaina-portfolio/tree/main/.claude/skills/docs-seeker
Command: npx skills add https://github.com/Komi-san-kugi/elaina-portfolio --skill docs-seeker-komi-san-kugi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Intelligent discovery and synthesis of technical documentation across multiple sources (llms.txt, Repomix, parallel Explorers, and fallbacks), delivering a cohesive documentation report.

Core Features & Use Cases

  • llms.txt-first discovery: Prioritize AI-friendly, official sources for docs.
  • Repository analysis: Use Repomix to extract docs from GitHub repos.
  • Parallel exploration: Deploy multiple Explorer agents to maximize coverage.
  • Fallback research: Engage Researchers when sources are sparse or conflicting.

Quick Start

Provide the library name (e.g., “Next.js”); the skill will locate llms.txt, analyze sources, and present a synthesized documentation report.