Autonomously optimize a Claude Code skill or agent system by running it repeatedly, scoring outputs against evals, mutating owned artifacts (prompt, references, scripts, agent definitions), and keeping improvements. Karpathy's autoresearch methodology. Trigger when the user asks to run autoresearch, or to optimize, benchmark, or run evals on a skill or agent. Also trigger on 스킬 개선, 스킬 최적화, 스킬 벤치마크, 스킬 평가, 에이전트 개선, 에이전트 최적화.
How to install autoresearch?
byungjunjang/jangpm-meta-skills/autoresearch
$npx -y skills add byungjunjang/jangpm-meta-skills --skill autoresearchInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/byungjunjang/jangpm-meta-skills" --skill "byungjunjang/jangpm-meta-skills/autoresearch"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/byungjunjang/jangpm-meta-skills" that are relevant to the current task. Run `npx skills add "https://github.com/byungjunjang/jangpm-meta-skills"` and select the relevant skills, then follow their instructions.
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