Self-Improvement Protocol (Recursive Optimization)

What problem does it solve?

This skill helps you convert successes and failures from real work into reusable, project-agnostic patterns, reducing regressions and accelerating future outcomes.

Core Features & Use Cases

• Recursive learning capture: Logs learnings in an append-only, non-destructive way under .learnings to preserve immutable session history.
• Automated error detection: Captures failed command context and routes it into the errors loop so issues become future defenses.
• Skill extraction from learnings: Uses a scaffold-driven protocol to promote validated learnings into new skill shards under .agent/skills.

Quick Start

Use the Self-Improvement Protocol to review your latest learnings and promote valuable patterns into a new reusable skill during your next session lifecycle.