Agent skill

continuous-learning-v2

Instinct-based learning system with confidence scoring. Automatically learns patterns from sessions and evolves them into skills. Supports import/export for team sharing.

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/WenJunDuan/Rlues/tree/main/vibeCoding/old version/codex/config-agent_v7.9.1-codex/.codex/skills/continuous-learning-v2

SKILL.md

Continuous Learning v2 - Instinct System

Overview

Instincts are micro-patterns learned from coding sessions. Unlike full skills, instincts are:

  • Lightweight - Single pattern, minimal context
  • Confidence-scored - Track success rate
  • Evolvable - Cluster into skills when mature

Instinct Structure

json
{
  "id": "inst_abc123",
  "pattern": "When encountering CORS errors in Next.js API routes...",
  "solution": "Add headers object with Access-Control-Allow-* fields",
  "confidence": 0.85,
  "uses": 12,
  "successes": 10,
  "created": "2026-01-15T10:30:00Z",
  "lastUsed": "2026-01-28T14:20:00Z",
  "tags": ["nextjs", "api", "cors", "debugging"],
  "context": {
    "framework": "next.js",
    "version": "15.x",
    "category": "debugging"
  }
}

Commands

/instinct-status

View learned instincts with confidence scores:

๐Ÿ“Š Instinct Status

Total: 47 instincts | Avg Confidence: 0.78

High Confidence (>0.8):
  โœ… CORS handling in Next.js API [0.92] - 15 uses
  โœ… Prisma transaction patterns [0.88] - 8 uses
  โœ… React useEffect cleanup [0.85] - 23 uses

Medium Confidence (0.5-0.8):
  โšก Supabase RLS policies [0.72] - 5 uses
  โšก Tailwind responsive patterns [0.68] - 7 uses

Low Confidence (<0.5):
  โ“ Edge function cold starts [0.45] - 2 uses

/instinct-export

Export instincts for sharing:

bash
# Export all instincts
/instinct-export

# Export by tag
/instinct-export --tags=nextjs,react

# Export high confidence only
/instinct-export --min-confidence=0.8

Output: .ai_state/instincts/export-2026-01-28.json

/instinct-import <file>

Import instincts from team:

bash
/instinct-import shared-instincts.json

Imported instincts start with 0.5 confidence and adjust based on local use.

/evolve

Cluster related instincts into a skill:

bash
# Interactive evolution
/evolve

# Target specific tags
/evolve --tags=authentication

Learning Triggers

Instincts are captured when:

  1. Successful Debugging - Problem โ†’ Solution pattern
  2. Pattern Recognition - Repeated similar solutions
  3. User Confirmation - Explicit "remember this" signals
  4. Code Review Feedback - Accepted improvements

Confidence Scoring

confidence = successes / uses * decay_factor

where:
  decay_factor = 0.95^(days_since_last_use / 30)

Confidence increases with successful uses, decreases with failures or time.

Storage

.ai_state/instincts/
โ”œโ”€โ”€ instincts.json      # Main instinct database
โ”œโ”€โ”€ index.md            # Human-readable index
โ”œโ”€โ”€ exports/            # Export history
โ”‚   โ””โ”€โ”€ export-*.json
โ””โ”€โ”€ evolved/            # Evolved skills
    โ””โ”€โ”€ skill-*.md

Evolution Process

When instincts cluster around a topic:

1. Identify Related Instincts
   - Same tags (>3 instincts)
   - Similar patterns
   - High combined confidence

2. Generate Skill Draft
   - Merge patterns
   - Synthesize solutions
   - Create SKILL.md

3. User Review
   - Present draft
   - Cunzhi confirmation
   - Install or iterate

4. Deprecate Instincts
   - Mark as "evolved"
   - Link to new skill

Integration

With Experience Skill

Instincts โ†’ lightweight, auto-captured
Experience โ†’ heavyweight, manually curated

Workflow:
1. Instinct captured automatically
2. High-confidence instincts โ†’ candidate for experience
3. User confirms โ†’ promote to experience

With /learn Command

/learn               # Capture to instincts (default)
/learn --experience  # Capture to experience (manual)
/learn --dry-run     # Preview without saving

Quality Filters

Instincts must meet criteria:

  • Non-trivial - Not basic language features
  • Reusable - Applies to multiple contexts
  • Specific - Clear trigger and solution
  • Tested - At least one successful use

Team Sharing Best Practices

bash
# Export team-relevant instincts
/instinct-export --min-confidence=0.7 --tags=our-stack

# Import with namespace
/instinct-import team-patterns.json --namespace=team

# Review imported before trusting
/instinct-status --namespace=team

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