Claude Code skill for autonomous, goal-directed iteration. /autoresearch <goal> builds a real-data benchmark harness, captures a baseline, and iterates with a regression gate until the goal is hit.
概览
Inspired by Andrej Karpathy's autoresearch — extended into a universal, real-data benchmark-driven workflow for any engineering task. is a Claude Code skill that turns a free-form goal like 1. 🧠 into seven machine-readable slots 2. 📦 (refusing synthetic corpora) 3. 🛠️ 4. 📐 + regression test count 5. 🔁 — one atomic change at a time 6. ✅ , 🗑️ , logs everything 7. 🏁 when the target metric is hit No hand-holding. No "should I continue?" Just mechanical iteration until the goal is reached. Every iteration is judged by a single floating-point metric extracted from a command. "Looks better" is banned. A hard gate rolls back any change that drops a pre-existing passing test — no matter how big the win looked. The harness refuses synthetic corpora. If you can't scrape, export, or tail it from reality, the loop won't start. One change per iteration, git-committed before verification. A failed experiment is always git reset --hard HEAD~1 away.
README
以下为原文 README 节选，完整内容请查看原文。
✨ What is this?
Autoresearch is a Claude Code skill that turns a free-form goal like
/autoresearch reduce API p95 latency to 200ms
into an autonomous, self-correcting optimization loop that:
- 🧠 Parses the goal into seven machine-readable slots
- 📦 Ingests real data (refusing synthetic corpora)
- 🛠️ Builds a single-file benchmark harness
- 📐 Captures a baseline + regression test count
- 🔁 Iterates — one atomic change at a time
- ✅ Keeps wins, 🗑️ auto-discards regressions, logs everything
- 🏁 Stops when the target metric is hit
No hand-holding. No “should I continue?” Just mechanical iteration until the goal is reached.
🌟 Why use it?
🚀 Quick Start
1. Install (global skill)
# Clone into your Claude Code skills directory
git clone https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy.git \
~/.claude/skills/autoresearch
On Windows:
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安装
npx skillfish add muminur/autoresearch-skill-andrej-karpathy