self-optimize

What problem does it solve?

Continuously improve the OpenClaw-CC system by analyzing its performance, identifying failure patterns, and modifying skill prompts, hooks, and workflows to reduce errors and increase success rates in production environments.

Core Features & Use Cases

• Automated cycle: measure, analyze, modify, verify, and commit improvements to prompts, hooks, and agent prompts.
• Guardrails: limit edits per cycle, require git stash or branch, and run tests before merging to prevent regressions.
• Memory-driven optimization: leverage memory logs to track performance, compare cycles, and enable rollbacks if metrics worsen.
• Weekly cadence: automated optimization runs via cron to keep the system evolving.

Quick Start

Initiate a self-optimization cycle to review recent errors and propose minimal, safe improvements.