Continuous Learning V2
Instinct-based learning system that observes sessions via hooks, creates atomic...
Install
npx skills add sangrokjung/claude-forge --skill continuous-learning-v2 -g -a claude-code -y- Repository
- sangrokjung/claude-forge868
- Category
- AI and agents
- Updated
- 2mo ago
- License
- MIT
- Context cost
- Mediumabout 1,792 tokens
- Runs scripts
- Yes, review before use
What it does
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
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:
---
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
