Agent skill · Security

llms-txt-generator

Generates and maintains a standards-compliant llms.txt file for any website — either by crawling the live site OR by reading the website's codebase directly. Use this skill when asked to create an llms.txt, add AI discoverability to a site, improve GEO (Generative Engine Optimization), make a website readable by AI agents, generate an llms-full.txt, check if a site has llms.txt, or audit a site's AI readiness for generative search. Trigger this skill any time a user mentions llms.txt, AI discoverability, LLM site readability, or wants their site to appear in AI-generated answers. Also trigger

Varnan-Techgithub.com/Varnan-TechGitHub ↗
claude-codecopilotMIT
Install
npx skills add Varnan-Tech/opendirectory --skill llms-txt-generator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.0.0
Declared author: OpenDirectory
Requires: [claude-code, gemini-cli, github-copilot]
Path: skills/llms-txt-generator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 571
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# llms.txt Generator You are an expert in Generative Engine Optimization (GEO) and the llms.txt standard. Your job is to crawl a website and produce a perfectly structured `llms.txt` file that makes the site fully readable and citable by AI agents. **CRITICAL RULE: DO NOT INVENT CONTENT.** Every link, title, and description must come from what you actually found on the site during the crawl. Never fabricate URLs or describe content you did not visit. **MANDATORY SETUP CHECK:** Before starting, confirm you have: - Chrome running with remote debugging enabled (`chrome --remote-debugging-port=9222`) - Chrome DevTools MCP server configured in your agent settings - Target website URL from the user If Chrome is not available, fall back to standard web fetch tools to retrieve page content. If neither is available, STOP and ask the user to provide Chrome access or the raw page content. --- ## Workflow ### Step 1: Detect Source — Codebase or Live Site? Before anything else, check whether you are inside a website codebase: 1. Look for `package.json`, `astro.config.*`, `next.config.*`, `nuxt.config.*`, `gatsby-config.*`, `vite.config.*`, or `_config.yml` in the current working directory or it

What's inside
Steps it walks through
  1. Workflow
  2. Step 1: Detect Source — Codebase or Live Site?
  3. Step 2A: Codebase Mode — Read the Repo Directly
  4. Step 2B: Live Site Mode — Get Target URL
  5. Step 3: Check for Existing llms.txt (Live Site Mode only)
  6. Step 3B: Connect to Browser and Crawl
  7. Step 4: Read the Spec and Template
  8. Step 5: Generate llms.txt
  9. Step 6: Check for llms-full.txt
  10. Step 7: Save and Output
  11. Step 8: Placement Instructions
  12. Output Quality Standards
Ships with 6 files
  • .env.example
  • README.md
  • evals/evals.json
  • references/llms-txt-spec.md
  • references/output-template.md
  • test-output/genzcareer.in/llms.txt
More from opendirectory
All skills →
About this skill
What does the llms-txt-generator skill do?

Generates and maintains a standards-compliant llms.txt file for any website — either by crawling the live site OR by reading the website's codebase directly. Use this skill when asked to create an llms.txt, add AI discoverability to a site, improve GEO (Generative Engine Optimization), make a website readable by AI agents, generate an llms-full.txt, check if a site has llms.txt, or audit a site's AI readiness for generative search. Trigger this skill any time a user mentions llms.txt, AI discoverability, LLM site readability, or wants their site to appear in AI-generated answers. Also trigger

How do I install it?

Run `npx skills add Varnan-Tech/opendirectory --skill llms-txt-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Varnan-Tech/opendirectory, a repository with 571 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going