continuous-learning-v2

# Continuous Learning v2 - Instinct-Based Architecture An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring. ## What's New in v2 | Feature | v1 | v2 | |---------|----|----| | Observation | Stop hook (session end) | PreToolUse/PostToolUse (100% reliable) | | Analysis | Main context | Background agent (Haiku) | | Granularity | Full skills | Atomic "instincts" | | Confidence | None | 0.3-0.9 weighted | | Evolution | Direct to skill | Instincts → cluster → skill/command/agent | | Sharing | None | Export/import instincts | ## The Instinct Model An instinct is a small learned behavior: ```yaml --- id: prefer-functional-style trigger: "when writing new functions" confidence: 0.7 domain: "code-style" source: "session-observation" --- # Prefer Functional Style ## Action Use functional patterns over classes when appropriate. ## Evidence - Observed 5 instances of functional pattern preference - User corrected class-based approach to functional on 2025-01-15 ``` **Properties:** - **Atomic** — one trigger, one action - **Confidence-weighted** — 0.3 = tentative, 0.9 = near certain - **Domain-tagged** — code-style, testing, git, debugging, workflow, etc. - **Evidence-backed** — tracks what observations created it ## How It Works ``` Session Activity │ │ Hooks capture prompts + tool use (100% reliable) ▼ ┌─────────────────────────────────────────┐ │ ...