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llms-txt-extraction-guide

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Turn website docs into AI-ready context

Software Engineering#RAG#MCP server#llms.txt#LLM agents#documentation extraction#install.md
Authornirholas
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you quickly extract and normalize AI documentation from any website that publishes llms.txt and install.md, so LLM agents can reliably discover and use tools and setup instructions without manual copying.

Core Features & Use Cases

  • Standards-based extraction: Detects and extracts llms.txt, llms-full.txt, and install.md into structured outputs.
  • Agent-optimized formats: Produces multiple export formats including markdown, JSON, plain text, and split section files suitable for RAG and tool context.
  • Scalable access paths: Uses a Web interface, a CLI, a REST API, and an MCP server for both interactive and automated pipelines.
  • Common use case: Ingest DeFi or SaaS documentation from many protocols to build an up-to-date knowledge base that an agent can query during tool execution.

Quick Start

Paste the target documentation URL into llm.energy and extract the website’s llms.txt, llms-full.txt, and install.md into AI-ready documents.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: llms-txt-extraction-guide
Download link: https://github.com/nirholas/three-ui/archive/main.zip#llms-txt-extraction-guide

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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