If you need to validate or generate an llms.txt file for a website, this handles both. It knows the emerging standard Jeremy Howard proposed in 2024, validates existing files against the spec (checking structure, URL validity, content quality), and can crawl a site to generate a new one from scratch. Think of it as a linter plus generator for the file that tells AI systems what matters on your site, similar to how robots.txt guides crawlers. The validation is thorough, checking everything from Markdown formatting to whether your page descriptions actually make sense. Worth having if you're adopting the standard early or auditing client sites that claim to have proper llms.txt files.

skills.sh installs
1.4K
GitHub stars
11.6K
last updated
Aug 21, 2026

Install

$ npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-llmstxt --agent claude-code

Installs into .claude/skills of the current project.

Files

llms.txt Standard Analysis and Generation Skill

Purpose

This skill handles everything related to the llms.txt standard -- an emerging convention (proposed by Jeremy Howard in September 2024, gaining adoption through 2025-2026) that allows websites to provide structured guidance to AI systems about their content, structure, and key information. It is analogous to robots.txt (which tells crawlers what NOT to access) but instead tells AI systems what IS most useful to understand about the site.

Why llms.txt Matters

AI language models face a fundamental challenge when processing websites: they must determine which pages are most important, what the site is about, and how content is organized -- typically by crawling many pages and inferring structure. llms.txt solves this by providing an explicit, machine-readable (and human-readable) summary.

Benefits of having a well-crafted llms.txt:

Sponsors

Details

Repository
github.com/zubair-trabzada/geo-seo-claude
Category
Marketing & SEO
First seen
Jun 3, 2026

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