Loading...
Loading...
Found 4 Skills
Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.
Evidence-based memory optimization from real usage patterns. Analyzes recall performance, identifies bottlenecks, suggests consolidation/pruning/enrichment, and tracks improvement over time via checkpoint Q&A.
Proactively summarize and consolidate knowledge from AI conversation sessions. Auto-triggers when: (1) Starting a new session after meaningful previous work, (2) Session contains significant learnings worth preserving. Captures debugging insights, architecture decisions, patterns, configs, and lessons learned into structured knowledge documents. Explicit triggers: 'summarize', 'consolidate', 'save knowledge', 'document this'.
Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.