llmstxt

Generate or audit a site-root llms.txt with valid sections and URLs.

7|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/zhizdev/overgrow --skill llmstxt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llmstxt
Source: https://github.com/zhizdev/overgrow/tree/main/.cursor/skills/llmstxt
Command: npx skills add https://github.com/zhizdev/overgrow --skill llmstxt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

llms.txt provides an AI-friendly map of the site at inference time, ensuring reliable access to content for AI assistants.

Core Features & Use Cases

  • Generate a standards-compliant llms.txt at the site root for AI ingestion.
  • Audit existing llms.txt to verify structure and coverage against inventory.
  • Surface top pages with companion Markdown pages for AI consumption.

Quick Start

Create or audit the project's /llms.txt so AI assistants can reliably reference site content.

Frequently Asked Questions about llmstxt

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

FAQPage Schema
How do I generate an llms.txt file to make my site content accessible to AI assistants?

Create a standards-compliant llms.txt at your site root to map core pages and documentation. This enables AI assistants to reliably reference and cite your site content during inference-time answering.

What is an llms.txt index and why does my website need one?

An llms.txt index is an AI-friendly map placed at the site root to ensure reliable content access for AI assistants. Your site needs one so AI models can accurately understand and cite your knowledge assets during inference-time answering.

Can I use this to audit an existing llms.txt file against my site inventory?

Yes, you can audit an existing llms.txt to verify its structure and coverage against your site inventory. It validates for a single H1, proper sections, and valid URLs to ensure complete AI citation compatibility.

Does the llms.txt generation work for both static sites and CMS-based projects?

Yes, llms.txt generation is applicable to both static sites and CMS-based projects. It surfaces core pages, documentation, and knowledge assets to support AI consumption regardless of your project architecture.

What structural rules must a valid llms.txt follow for AI ingestion?

A valid llms.txt must ensure a single H1, proper sections, and valid URLs within the project. It validates against inventory and guidelines from knowledge/llms-txt.md to ensure proper AI ingestion compatibility.