AI-consumed reference. Optimized for Claude to read during execution. Human-readable explanation: see docs/architecture/HIERARCHICAL_PLANNING.md or docs/getting-started/ depending on topic.

Self-Improve Skill

Full learning loop: Analyze collected learning data (success/failure patterns, optimization opportunities, agent performance) → Apply learned improvements (update rules, adjust agent routing, modify workflow configs, generate knowledge entries).

Analyze

Analyze learning data from Supabase: success/failure patterns, optimization opportunities, agent performance. Runs before Apply — its v_improvement_suggestions output feeds the Apply process below.

Analyze Usage