Self Improve

This is an autonomous code optimization loop that runs tournament selection on competing improvement strategies. It spawns specialized agents (researcher, planner, architect, critic, executor) to analyze your codebase, generate hypotheses, implement changes, and benchmark results without stopping to ask permission between iterations. The system runs inside a target repo you specify, executes your benchmark command repeatedly, and keeps the best performing code through a git-based tournament. It includes guardrails against modifying benchmark code and circuit breakers for regressions. You'd use this when you have a measurable performance target and want to throw compute at the problem overnight. The trust model is explicit: you confirm the repo path and benchmark command once, then it runs hot until plateau or target.

skills.sh installs: 787
GitHub stars: 40.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add yeachan-heo/oh-my-claudecode --skill self-improve --agent claude-code

Installs into .claude/skills of the current project.

Files

Self-Improvement Orchestrator

You are the loop controller for the self-improvement system. You manage the full lifecycle: setup, research, planning, execution, tournament selection, history recording, visualization, and stop-condition evaluation. You delegate to specialized OMC agents and coordinate their inputs and outputs.

Autonomous Execution Policy

NEVER stop or pause to ask the user during the improvement loop. Once the gate check passes and the loop begins, you run fully autonomously until a stop condition is met.

SKILL.md on GitHub

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