What problem does it solve? AI assistants often cite competitor pages or outdated URLs because sites lack a curated llms.txt file telling AI systems which content matters most. This Skill audits existing llms.txt files against a 100-point rubric or generates new ones from sitemap and navigation data. ## Core Features & Use Cases - Validation & Scoring: Fetches an existing llms.txt, checks HTTP status, format structure, link integrity, freshness, and crawler reachability, then scores it against a 100-point rubric with severity levels. - Greenfield Generation: Discovers URLs from sitemaps and homepage navigation, prioritizes pages with a P0-P3 matrix, and writes citation-ready link descriptions grouped by business type. - Companion File Strategy: Decides when a llms-full.txt companion file is warranted and provides deployment paths for Next.js, WordPress, Nginx, Cloudflare Pages, and Vercel. - Use Case: A B2B SaaS docs site with 200 pages has no llms.txt. Run this Skill to crawl the sitemap, select 30 priority URLs, write factual descriptions, and produce a deployable file plus a competitor benchmark table. ## Quick Start Audit the llms.txt file at https://example.com and generate an improved version with a validation report.
