{"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. Don't use when: static agent behavior is preferred.","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":84,"overallRank":62,"trustScore":null,"trust":null,"source":"CLAWHUB","updatedAt":"2026-10-10T09:10:22.804Z"}