Continuous Learning

Continuous Learning

Evaluate agent sessions on completion to extract reusable patterns saved as learned skills.

When to Activate

• Setting up automatic pattern extraction from agent sessions
• Configuring a Stop hook for session evaluation
• Reviewing or curating learned skills
• Adjusting extraction thresholds or pattern categories

How It Works

This skill runs as a Stop hook at the end of each session:

1. Session Evaluation: Checks if session has enough messages (default: 10+)
2. Pattern Detection: Identifies extractable patterns from the session
3. Skill Extraction: Saves useful patterns to a learned skills directory

Configuration

Edit config.json to customize:

{
  "min_session_length": 10,
  "extraction_threshold": "medium",
  "auto_approve": false,
  "learned_skills_path": "~/.config/agent/skills/learned/",
  "patterns_to_detect": [
    "error_resolution",
    "user_corrections",
    "workarounds",
    "debugging_techniques",
    "project_specific"
  ],
  "ignore_patterns": [
    "simple_typos",
    "one_time_fixes",
    "external_api_issues"
  ]
}

Pattern Types

Hook Setup

Add a Stop hook to your agent settings:

{
  "hooks": {
    "Stop": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "<skills-path>/continuous-learning/evaluate-session.sh"
      }]
    }]
  }
}

Why Stop Hook?

• Lightweight: Runs once at session end
• Non-blocking: Adds no latency to individual messages
• Complete context: Has access to the full session transcript

v2 Comparison

The v2 instinct-based approach (see continuous-learning-v2) offers finer granularity: