{
  "name": "Reflect - Agent Self-Improvement",
  "emoji": "🪞",
  "description": "Self-improvement through conversation analysis. Extracts learnings from corrections, success patterns, and session outcomes. Encodes learnings permanently into agent definitions for continuous improvement across all future sessions.",
  "category": "meta",
  "author": "Claude Code Toolkit",
  "version": "2.0.0",
  "readme": "README.md",
  "tags": [
    "reflection",
    "self-improvement",
    "learning",
    "meta",
    "agent-development",
    "continuous-improvement"
  ],
  "features": [
    "Signal detection with confidence levels (HIGH/MEDIUM/LOW)",
    "Automatic category classification (Code Style, Architecture, Process, Domain, Tools)",
    "Agent file updates with version control",
    "New skill generation from debugging discoveries",
    "Metrics tracking and improvement statistics",
    "Human-in-the-loop approval workflow"
  ],
  "repository": "https://github.com/stevengonsalvez/ai-coder-rules",
  "license": "MIT",
  "keywords": [
    "reflect",
    "self-improvement",
    "learning",
    "agent",
    "corrections",
    "patterns",
    "meta-cognition"
  ],
  "defaults": {
    "state_dir": "~/.reflect",
    "auto_reflect": false,
    "confidence_threshold": "medium"
  },
  "clawdbot": {
    "triggers": [
      "reflect",
      "self-reflect",
      "review session",
      "extract learnings"
    ]
  }
}