continuous-learning

name	continuous-learning
description	Automatically extract reusable patterns from coding sessions and save them as learned skills for future use.

Continuous Learning Skill

Automatically evaluates coding sessions on end to extract reusable patterns that can be saved as learned skills.

How It Works

This skill runs as a sessionEnd 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 ~/.copilot/skills/learned/

Configuration

{
  "min_session_length": 10,
  "extraction_threshold": "medium",
  "auto_approve": false,
  "learned_skills_path": "~/.copilot/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

Pattern	Description
error_resolution	How specific errors were resolved
user_corrections	Patterns from user corrections
workarounds	Solutions to framework/library quirks
debugging_techniques	Effective debugging approaches
project_specific	Project-specific conventions

Hook Setup

Add to your .github/hooks/default.json:

{
  "version": 1,
  "hooks": {
    "sessionEnd": [{
      "type": "command",
      "bash": "scripts/hooks/evaluate-session.sh"
    }]
  }
}

Why sessionEnd Hook?

• Lightweight: Runs once at session end
• Non-blocking: Doesn't add latency to every message
• Complete context: Has access to full session transcript

Comparison with v2

Feature	v1 (This Skill)	v2 (Instinct-Based)
Observation	sessionEnd hook (end of session)	preToolUse/postToolUse (continuous)
Analysis	Main context	Background analysis
Granularity	Full skills	Atomic "instincts"
Confidence	None	0.3–0.9 weighted
Evolution	Direct to skill	Instincts cluster into skills/commands/agents

See continuous-learning-v2 for the instinct-based approach.