geo-fix-llmstxt

Generate llms.txt and llms-full.txt files with structured links and embedded page content.

Updated Apr 22, 2026
One-click install
npx skills add https://github.com/martingaam-hue/proavtive --skill geo-fix-llmstxt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-fix-llmstxt
Source: https://github.com/martingaam-hue/proavtive/tree/main/.claude/skills/geo-fix-llmstxt
Command: npx skills add https://github.com/martingaam-hue/proavtive --skill geo-fix-llmstxt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Generate llms.txt and llms-full.txt to help AI systems understand and cite a website's content.

Core Features & Use Cases

  • Discovers site structure via sitemap, navigation, and page crawling to build an inventory.
  • Generates llms.txt with structured links and concise descriptions for AI discovery.
  • Produces llms-full.txt containing embedded page content for direct LLM consumption and offline use.

Quick Start

Generate llms.txt and llms-full.txt for https://example.com.

Frequently Asked Questions about geo-fix-llmstxt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is an llms.txt file and how does it help AI systems discover website content?

An llms.txt file provides a structured markdown link catalog with an H1, blockquote summary, and absolute URLs to help AI systems understand and cite website content. It conforms to the llmstxt.org specification for AI-friendly site indexing.

How do I generate llms.txt and llms-full.txt for my public website?

To generate llms.txt and llms-full.txt, the system discovers your site structure via sitemap, navigation, and page crawling. It then builds an inventory and outputs structured links with concise descriptions alongside a full-text embedding file for direct LLM consumption.

Does the llms.txt generator enforce any specific markdown structure or limits?

Yes, the generated llms.txt enforces an H1, a blockquote summary, and H2 link sections with absolute URLs. It strictly limits the output to 100 links and 50 pages to ensure concise AI discovery and citation.

What is the difference between llms.txt and llms-full.txt for AI site indexing?

The llms.txt file contains structured links and concise descriptions for AI discovery, while llms-full.txt contains embedded full-text page content extracted from docs, API references, and blogs for direct LLM consumption and offline use.

Can I use this to create an AI-friendly content catalog across docs, API references, and product pages?

Yes, you can apply this to public websites to crawl and build an inventory across docs, API references, blogs, and product pages. It produces structured link catalogs and full-text embeddings conforming to the llmstxt.org specification.