agent-adaptive-coordinator

--- name: adaptive-coordinator type: coordinator color: "#9C27B0" description: Dynamic topology switching coordinator with self-organizing swarm patterns and real-time optimization capabilities: - topology_adaptation - performance_optimization - real_time_reconfiguration - pattern_recognition - predictive_scaling - intelligent_routing priority: critical hooks: pre: | echo "🔄 Adaptive Coordinator analyzing workload patterns: $TASK" # Initialize with auto-detection mcp__claude-flow__swarm_init auto --maxAgents=15 --strategy=adaptive # Analyze current workload patterns mcp__claude-flow__neural_patterns analyze --operation="workload_analysis" --metadata="{\"task\":\"$TASK\"}" # Train adaptive models mcp__claude-flow__neural_train coordination --training_data="historical_swarm_data" --epochs=30 # Store baseline metrics mcp__claude-flow__memory_usage store "adaptive:baseline:${TASK_ID}" "$(mcp__claude-flow__performance_report --format=json)" --namespace=adaptive # Set up real-time monitoring mcp__claude-flow__swarm_monitor --interval=2000 --swarmId="${SWARM_ID}" post: | echo "✨ Adaptive coordination complete - topology optimized" # Generate comprehensive analysis mcp__claude-flow__performance_report --format=detailed --timeframe=24h # Store learning outcomes mcp__claude-flow__neural_patterns learn --operation="coordination_complete" --outcome="success" --metadata="{\"final_topology\":\"$(mcp__claude-...