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    AGENTS.md and llms.txt Writer-Reviewer

    by PubsProToolkit

    2

    For AGENTS.md it covers runnable build, test, and run commands, code conventions, a map of where logic lives, and the gotchas that trip agents up.

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    You say

    Review the AGENTS.md in this repo and tell me if it's ready for a coding agent. Then draft an llms.txt for our docs site at example.com. Give me a PASS or REVISE verdict with a prioritized fix list, and flag anything that wastes context.

    Your agent does

    AGENTS.md — Verdict: REVISE

    Priority fixes:

    1. Build/test commands missing. Add the exact commands an agent should run, e.g. npm install, npm run build, npm test.
    2. No code map. Add a short "where things live" section (e.g. app logic in src/, API routes in src/api/).
    3. Gotcha undocumented. Note that migrations must run before the test suite.

    Context efficiency: removed ~180 tokens of filler ("This project is a wonderful...", "please be careful"). Keep instructions imperative.

    llms.txt — drafted (ready to commit):

    Example Docs

    Documentation for the Example API and SDK.

    Docs

    Optional

    Verdict: PASS once the two AGENTS.md commands above are confirmed against your project.

    What you get

    Draft a token-efficient AGENTS.md for any new or existing code repository.Audit documentation for "context waste" to save LLM tokens and costs.Create an llms.txt file to make your website easily indexable by AI agents.Improve agent accuracy by defining explicit project "laws" and gotchas.

    About this skill

    AI agents are now a primary reader of your documentation: a coding agent opens AGENTS.md before it touches your repo, and a browsing agent reads llms.txt before it uses your site. Both are young conventions, and most are missing, vague, or padded with words that waste the very context window they are meant to fill. This skill writes them properly and reviews existing ones against what an agent actually needs. For AGENTS.md it covers runnable build, test, and run commands, code conventions, a map of where logic lives, and the gotchas that trip agents up. For llms.txt it produces the correct structure — H1 name, summary, and curated, linked sections an agent can navigate. It has a write mode that drafts the file ready to commit, and a review mode that returns a PASS or REVISE verdict with a prioritized fix list, including a context-efficiency pass that cuts the filler tokens agentic engineers warn about. Works with Claude Code, Cursor, Codex CLI, Gemini CLI, and any SKILL.md agent.

    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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