Systematically improve code through disciplined analysis, targeted mutations, verification, scoring, and logging to iteratively enhance quality and design.
Iterative Code Evolution v1.0.0 - Introduces a structured methodology for improving code using analyze → plan → mutate → verify → score → archive cycles. - Adapts principles from ALMA (Automated meta-Learning of Memory designs for Agentic systems) to code optimization and debugging. - Provides clear guidelines on when and when not to use the skill. - Establishes an evolution log format for disciplined variant tracking and learned principles. - Details step-by-step instructions for each phase in the evolution process to promote disciplined code iteration and improvement.