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{
"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"
]
}
}