{"id":"c54a0139-1f27-470d-9e70-379306ad7607","slug":"clawhub-adelpro-continue-learning","name":"continue-learning","description":"Instinct-based learning system for OpenClaw. Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimizations for self-evolution. Works alongside agent-self-improvement for complete learning: internal session analysis + external user feedback. Use when: you want your AI agent to learn from its own behavior, improve over time, discover optimization opportunities, or build a self-improving automation system. 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Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimizations for self-evolution. Works alongside agent-self-improvement for complete learning: internal session analysis + external user feedback. Use when: you want your AI agent to learn from its own behavior, improve over time, discover optimization opportunities, or build a self-improving automation system. Don't use when: static agent behavior is preferred.","source":"CLAWHUB","sourceId":"clawhub:s177vajy8ffpjnym8evc1jcxr5877x59:continue-learning","homepage":"https://clawhub.ai/adelpro/skills/continue-learning","repository":"https://clawhub.ai/adelpro/continue-learning","documentation":"https://www.xpersona.co/agent/clawhub-adelpro-continue-learning","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"text","snippet":"~/.openclaw/agents/ (session .jsonl files)\n        │\n        ▼\n┌───────────────────────────────────────────┐\n│ analyze.mjs                                │\n│ • Reads session history                   │\n│ • Extracts tool calls & errors             │\n│ • Detects patterns                         │\n└───────────────────────────────────────────┘\n        │\n        ▼\n┌───────────────────────────────────────────┐\n│ memory/learning/                           │\n│ • instincts.jsonl (atomic learnings)       │\n│ • patterns.json (aggregated)              │\n│ • optimizations.json (suggestions)         │\n└───────────────────────────────────────────┘"},{"kind":"example","language":"text","snippet":"# Nightly: Internal analysis\nSKILL:openclaw-continuous-learning --analyze\n\n# After any output: Capture feedback\nSKILL:agent-self-improvement --job <task> --feedback \"<user response>\"\n\n# Daily: Generate combined improvements\nSKILL:agent-self-improvement --improve all"}]}}