# Continuous Learning V2

> Instinct-based learning system with confidence scoring for mobile patterns. Automatically extracts and evolves patterns.

- Skill: `ahmed3elshaer/continuous-learning-v2` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ahmed3elshaer/continuous-learning-v2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ahmed3elshaer/continuous-learning-v2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ahmed3elshaer (https://skillmd.com/u/ahmed3elshaer)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/ahmed3elshaer/continuous-learning-v2

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# Continuous Learning v2

Instinct-based learning with confidence scoring.

## Instinct Structure

```json
{
  "id": "compose-state-hoisting",
  "type": "pattern",
  "description": "Always hoist state to caller in Composables",
  "confidence": 0.85,
  "examples": [...],
  "context": "jetpack-compose",
  "lastUsed": "2026-02-02"
}
```

## Confidence Scoring

| Score | Meaning |
|-------|---------|
| 0.0-0.3 | Experimental |
| 0.3-0.6 | Validated |
| 0.6-0.8 | Established |
| 0.8-1.0 | Best practice |

Confidence increases with:
- Successful application
- User acceptance
- Consistency across sessions

## Commands

```bash
/instinct-status        # View with confidence
/instinct-import <file> # Import from others
/instinct-export        # Export for sharing
/evolve                 # Cluster related instincts
```

## Mobile-Specific Instincts

Pre-configured patterns for:
- Compose recomposition optimization
- MVI state management
- Koin module organization
- Ktor error handling
- Espresso test patterns

---

**Remember**: Instincts evolve. Low confidence patterns may become best practices.