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llms.txt Generator
llms.txt is a Markdown file at your site's root that hands AI agents a clean, curated map of your content — no HTML noise, no JavaScript, no context-window bloat.
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See it in action
You say
"Generate an llms.txt for my docs site — here's the sitemap / here are the key URLs."
Your agent does
A complete llms.txt: the H1 brand name, a concrete one-paragraph blockquote summary, curated H2 sections (Docs, API, Guides) with each link in exact "- Title: description" format, and an Optional section for lower-priority pages — plus a validation line ("all 14 link lines parse; under 500 words") and placement instructions for the domain root. It offers to write the file.
What you get
About this skill
llms.txt is a Markdown file at your site's root that hands AI agents a clean, curated map of your content — no HTML noise, no JavaScript, no context-window bloat. This skill generates a spec-compliant one (and optional llms-full.txt) in the exact format agents parse. It: • Gathers the source — a website's sitemap/URLs or a repo's README and docs • Curates ruthlessly — the pages an AI most needs, not a sitemap dump (the #1 mistake) • Writes the exact llmstxt.org structure — single H1, blockquote summary, H2 link sections, and the precise "- [Title](URL): description" line format that deviation silently breaks • Adds an Optional section agents can skip • Validates every line and flags anything that wouldn't parse • Produces llms-full.txt too if you have substantial docs • Tells you where to place it and to keep it fresh (a stale file misinforms agents) Honest framing built in: as of 2026 most major AI crawlers don't reliably fetch llms.txt yet, so it's a near-zero-cost hedge and a business-to-agent routing layer for the agentic web — not a guaranteed ranking lift. It defers to the canonical spec at llmstxt.org.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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