awslabs

AutoHelix — AI skill for Claude Code

AI community

Agent-powered iterative optimization: put an AI agent in a verified improvement loop.

How to install AutoHelix

This entry records only its repository, not the path inside it, so there is no exact command to give. Open awslabs/AutoHelix and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AutoHelix does

Agent-powered iterative optimization: put an AI agent in a verified improvement loop.

Alternatives in AI

  • Optimization — ai-research-skills AWQ, GPTQ, GGUF, Flash Attention, bitsandbytes 5.4k ★
  • Geo SEO Claude — GEO-first SEO skill for Claude Code 3.6k ★
  • Sentrux — Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improveme 2.9k ★

README

AutoHelix

Put an AI agent in a verified improvement loop.

Set constraints and metrics; the agent proposes changes in a loop.
Only changes that pass checks get merged. Improvements compound across iterations.

works with Claude Code · Codex · OpenCode

Python 3.11+ License: Apache 2.0

How it works · Quick start · Examples · Configuration · Other features · FAQ

autohelix run — optimizing the sorting example Example autohelix.yaml configuration for the sorting task

AutoHelix is a lightweight harness that lets you point an agent at a goal and leave it looping unattended. It provides the isolation, validation, scope, and budget control to make that safe, and it's general enough for any measurable goal, from optimizing code to training models.

Looping an agent can be far more effective than a single prompt, because later iterations fix and build on what came before, and because it gives you a knob for controlling how much effort (time or cost) to put toward the g