Curated AI coding agent skills and AGENTS.md playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKILL.md-compatible tools.
autoresearch-agent
autoresearch-agent is an open-source productivity skill for Claude Code and compatible agents, published by alirezarezvani. Its author describes it as: “Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failure…”. The project has 25k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add alirezarezvani/claude-skills`.
What autoresearch-agent does
> You sleep. The agent experiments. You wake up to results.
Installation
Add autoresearch-agent to your agent with:
/plugin marketplace add alirezarezvani/claude-skills Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for autoresearch-agent is organised into these sections:
- Slash Commands
- When This Skill Activates
- Setup
- First Time — Create the Experiment
- What Setup Creates
- Domains
- If program.md Already Exists
- Agent Protocol
- Before Starting
- Each Iteration
- What the Script Handles (you don't)
- Starting an Experiment
When to use it
Reach for autoresearch-agent when you want productivity help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in alirezarezvani/claude-skills, an established project with 24,617 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does autoresearch-agent do?
- Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
- How do I install autoresearch-agent?
- Run /plugin marketplace add alirezarezvani/claude-skills in your agent, then reload your skills. Review the source at https://github.com/alirezarezvani/claude-skills before installing.
- Is autoresearch-agent free to use?
- Yes. autoresearch-agent is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does autoresearch-agent come from?
- autoresearch-agent ships inside alirezarezvani/claude-skills, a repository that contains 41 catalogued skills in total. The repository's 24,617 GitHub stars apply to that whole collection, not to this skill on its own.
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Baoyu Skills is an open-source productivity skill for Codex, published by JimLiu. It packages reusable instructions an agent loads on demand to help with productivity tasks. The project has 24k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/JimLiu/baoyu-skills ~/.claude/skills/baoyu-skills`.