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autoresearch-loop

Apply Karpathy's autoresearch methodology to autonomously iterate and improve anything measurable — Claude skills, n8n workflows, system prompts, business processes, or any artifact with a clear quality metric. Inspired by github.com/karpathy/autoresearch (56k stars). The loop: propose a change → test it → measure against the target metric → keep if better, discard if not → repeat indefinitely. ALWAYS trigger this skill when the user says things like: "improve this skill automatically", "iterate on this workflow", "run autoresearch on", "autonomous improvement loop", "overnight experiments", "keep iterating until it's better", "run experiments on this", "optimize this automatically", or any request to have Claude autonomously make and test changes to something measurable. Also trigger for requests to "set up an improvement loop", "run the autoresearch method", or anything involving iterative autonomous experimentation.

openclaw
maintainer
openclaw
更新於 4/2/2026
星標
4001
分支
1095
quick start

Installation and usage

Apply Karpathy's autoresearch methodology to autonomously iterate and improve anything measurable — Claude skills, n8n workflows, system prompts, business processes, or any artifact with a clear quality metric. Inspired by github.com/karpathy/autoresearch (56k stars). The loop: propose a change → test it → measure against the target metric → keep if better, discard if not → repeat indefinitely. ALWAYS trigger this skill when the user says things like: "improve this skill automatically", "iterate on this workflow", "run autoresearch on", "autonomous improvement loop", "overnight experiments", "keep iterating until it's better", "run experiments on this", "optimize this automatically", or any request to have Claude autonomously make and test changes to something measurable. Also trigger for requests to "set up an improvement loop", "run the autoresearch method", or anything involving iterative autonomous experimentation.

安裝
$ install --globalskills.sh
使用

安裝後,您可以透過在終端機執行以下指令來使用此技能:

skills use autoresearch-loop