autoresearch-loop
byjdrhyne· 34 skills
Domain-agnostic metric-driven improvement loop, generalizing Karpathy's autoresearch. Use when you want an agent to discover what to measure for a project/goal, then run a keep-or-revert experiment loop that proposes changes, measures them against an objective, keeps wins, discards regressions, and records implemented improvements. Adapts to code perf-auditing, codegen, bug-finding, ad optimization, or any artifact + measurable objective + trial. Trigger: 'autoresearch this', 'find and implement improvements to X', 'discover metrics and optimize'.
How to install autoresearch-loop?
jdrhyne/agent-skills/autoresearch-loop
$npx -y skills add jdrhyne/agent-skills --skill autoresearch-loopInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jdrhyne/agent-skills" --skill "jdrhyne/agent-skills/autoresearch-loop"` 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/jdrhyne/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jdrhyne/agent-skills"` and select the relevant skills, then follow their instructions.
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