continuous-learning-v2
🤖 AI Summary
This skill automatically extracts and stores reusable coding patterns ("instincts") from Claude Code sessions, using confidence scoring to separate project-specific behaviors (e.g., React patterns) from universal rules (e.g., input validation), and supports exporting, importing, and promoting instincts into full skills or commands.
How to Install
Claude Code:
git clone --depth 1 https://github.com/affaan-m/ECC.git && cp ECC/skills/continuous-learning-v2 ~/.claude/skills/continuous-learning-v2 -r# Continuous Learning v2.1 - 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.
**v2.1** adds **project-scoped instincts** — React patterns stay in your React project, Python conventions stay in your Python project, and universal patterns (like "always validate input") are shared globally.
## When to Activate
- Setting up automatic learning from Claude Code sessions
- Configuring instinct-based behavior extraction via hooks
- Tuning confidence thresholds for learned behaviors
- Reviewing, exporting, or importing instinct libraries
- Evolving instincts into full skills, commands, or agents
- Managing project-scoped vs global instincts
- Promoting instincts from project to global scope
## What's New in v2.1
| Feature | v2.0 | v2.1 |
|---------|------|------|
| Storage | Global (`~/.claude/homunculus/`) | Project-scoped (`${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/projects//`) |
| Scope | All instincts apply everywhere | Project-scoped + global |
| Detection | None | git remote URL / repo path |
| Promotion | N/A | Project → global when seen in 2+ projects |
| Commands | 4 (status/evolve/export/import) | 6 (+promote/projects) |
| Cross-project | Contamination risk | Isolated by default |
## What's New in v2 (vs v1)
| 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"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "my-react-app"
---
# 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
- **Scope-aware** -- `project` (default) or `global`
## How It Works
```
Session Activity (in a git repo)
|
| Hooks capture prompts + tool use (100% reliable)
| + detect project context (git remote / repo path)
v
+---------------------------------------------+
| projects//observations.jsonl |
| (prompts, tool calls, outcomes, project) |
+---------------------------------------------
Details
| Category | Coding → generation |
| Source | affaan-m/ECC |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 220.5K |
| Est. per Skill | N/A (shared across 121 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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