balukosuribalukosuriCommunityยท1 Agent Skills Included

Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill

Self-improving prompt optimization through autonomous experiment loops

Scans any codebase, suggests optimization targets, and defines measurable yes/no evaluation criteria. Runs an autonomous loop that generates outputs, scores them, keeps winning prompts, and mutates failures. Eliminates manual prompt tweaking by logging every experiment and steadily improving quality while you work elsewhere.
npx skills add balukosuri/Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install Autoresearch Universal?โ–ผ

Run `npx skills add balukosuri/Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill --all -g -y` in your terminal to install it globally.

What does Autoresearch Universal do?โ–ผ

It applies Karpathy's autoresearch pattern to any repository: it scans your code, picks measurable quality targets, and runs a self-improving loop that keeps better prompts and discards worse ones.

What can I optimize with this skill?โ–ผ

Anything measurable, such as test coverage, docstring quality, accessibility, error handling, or documentation SEO. The skill suggests targets based on your repo or accepts your own goal.

Does it work with Cursor and Claude Code?โ–ผ

Yes. The SKILL.md file follows the universal skill standard and runs in Cursor, Claude Code, and other compatible coding environments.

Do I need machine learning experience to use it?โ–ผ

No. You simply describe what you want to improve in plain English, review the proposed metrics, and let the loop run unattended.

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