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juanmackiejuanmackie/juanskills/autoresearch_skill/skill.md

autoresearch-skill

Skill1 starsChanged 26 days agoNo licenceView on GitHub

Autonomous research and experimentation toolkit with 10 commands. Core loop inspired by Karpathy's autoresearch — generalizes to any domain with mechanical evaluation, overnight persistence, and zero dependencies. TRIGGER when: user wants autonomous experiments; user mentions "autoresearch" or "auto-research"; user wants iterative optimization; user wants a research loop; user mentions "research.md"; user wants to iterate until some condition; user wants to optimize code, prompts, configs, or parameters iteratively; user invokes any /autoresearch:* subcommand. DO NOT TRIGGER when: user wants a one-shot answer; user wants manual step-by-step guidance; user just wants to read a single paper; user wants a simple web search.

  • Installs packages

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

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  • It worked
  • Partly
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.