MCP Server Trello

--- name: claude-flow-swarm description: Coordinate multi-agent swarms for complex tasks with batchtools optimization --- # 🐝 Claude-Flow Swarm Coordination (Batchtools Optimized) Advanced multi-agent coordination system with timeout-free execution, distributed memory sharing, and intelligent load balancing. **🚀 Batchtools Enhancement**: Enhanced with parallel processing capabilities, batch operations, and concurrent optimization for maximum swarm efficiency. ## Basic Usage (Enhanced) ```bash ./claude-flow swarm "your complex task" --strategy <type> [options] --parallel ``` ## 🎯 Swarm Strategies (Optimized) - **auto** - Automatic strategy selection with parallel task analysis - **development** - Code implementation with concurrent review and testing - **research** - Information gathering with parallel synthesis - **analysis** - Data processing with concurrent pattern identification - **testing** - Comprehensive QA with parallel test execution - **optimization** - Performance tuning with concurrent profiling - **maintenance** - System updates with parallel validation ## 🤖 Agent Types (Enhanced) - **coordinator** - Plans and delegates with parallel task distribution - **developer** - Writes code with concurrent optimization - **researcher** - Gathers information with parallel analysis - **analyzer** - Identifies patterns with concurrent processing - **tester** - Creates and runs tests with parallel execution - **reviewer** - Performs reviews with concurrent validation - **documenter** - Creates docs with parallel content generation - **monitor** - Tracks performance with real-time parallel monitoring - **specialist** - Domain experts with batch processing capabilities - **batch-processor** - High-throughput parallel operation specialist ## 🔄 Coordination Modes (Enhanced) - **centralized** - Single coordinator with parallel agent management - **distributed** - Multiple coordinators with concurrent load balancing - **hierarchical** - Tree structure with parallel nested coordination - **mesh** - Peer-to-peer with concurrent collaboration - **hybrid** - Mixed strategies with adaptive parallel processing ## ⚙️ Common Options (Batchtools Enhanced) - `--strategy <type>` - Execution strategy with optimization - `--mode <type>` - Coordination mode with parallel processing - `--max-agents <n>` - Maximum concurrent agents (default: 10, optimized: 25) - `--timeout <minutes>` - Timeout in minutes (default: 60) - `--background` - Run in background with parallel monitoring - `--monitor` - Enable real-time monitoring with concurrent metrics - `--ui` - Launch terminal UI with performance dashboard - `--parallel` - Enable enhanced parallel execution - `--distributed` - Enable distributed coordination with load balancing - `--review` - Enable peer review with concurrent validation - `--testing` - Include automated testing with parallel execution - `--encryption` - Enable data encryption with concurrent processing - `--verbose` - Detailed logging with parallel output - `--dry-run` - Show configuration with parallel analysis - `--batch-optimize` - Enable batchtools optimization - `--concurrent-agents <n>` - Maximum concurrent agent operations - `--performance` - Enable performance monitoring and optimization ## 🌟 Examples (Batchtools Enhanced) ### Development Swarm with Parallel Review ```bash ./claude-flow swarm "Build e-commerce REST API" \ --strategy development \ --monitor \ --review \ --testing \ --parallel \ --concurrent-agents 15 \ --performance ``` ### Long-Running Research Swarm with Concurrent Processing ```bash ./claude-flow swarm "Analyze AI market trends 2024-2025" \ --strategy research \ --background \ --distributed \ --max-agents 12 \ --parallel \ --batch-optimize \ --performance ``` ### Performance Optimization Swarm with Parallel Analysis ```bash ./claude-flow swarm "Optimize database queries and API performance" \ --strategy optimization \ --testing \ --parallel \ --monitor \ --concurrent-agents 10 \ --batch-optimize \ --performance ``` ### Enterprise Development Swarm with Full Parallelization ```bash ./claude-flow swarm "Implement secure payment processing system" \ --strategy development \ --mode distributed \ --max-agents 20 \ --parallel \ --monitor \ --review \ --testing \ --encryption \ --verbose \ --concurrent-agents 15 \ --batch-optimize \ --performance ``` ### Testing and QA Swarm with Concurrent Validation ```bash ./claude-flow swarm "Comprehensive security audit and testing" \ --strategy testing \ --review \ --verbose \ --max-agents 8 \ --parallel \ --concurrent-agents 6 \ --batch-optimize \ --performance ``` ## 📊 Monitoring and Control (Enhanced) ### Real-time monitoring with parallel metrics: ```bash # Monitor swarm activity with performance data ./claude-flow monitor --parallel --performance --real-time # Monitor specific component with concurrent analysis ./claude-flow monitor --focus swarm --concurrent --detailed # Performance dashboard with parallel monitoring ./claude-flow monitor --ui --performance --all-metrics ``` ### Check swarm status with concurrent analysis: ```bash # Overall system status with parallel checks ./claude-flow status --concurrent --performance # Detailed swarm status with optimization metrics ./claude-flow status --verbose --parallel --optimization # Performance analysis with concurrent processing ./claude-flow status --performance --detailed --concurrent ``` ### View agent activity with parallel monitoring: ```bash # List all agents with concurrent status checks ./claude-flow agent list --parallel --performance # Agent details with concurrent analysis ./claude-flow agent info <agent-id> --detailed --concurrent # Batch agent monitoring ./claude-flow agent batch-status --all-agents --parallel ``` ## 💾 Memory Integration (Enhanced) Swarms automatically use distributed memory with parallel processing for collaboration: ### Standard Memory Operations ```bash # Store swarm objectives ./claude-flow memory store "swarm_objective" "Build scalable API" --namespace swarm # Query swarm progress ./claude-flow memory query "swarm_progress" --namespace swarm # Export swarm memory ./claude-flow memory export swarm-results.json --namespace swarm ``` ### Batchtools Memory Operations ```bash # Batch store swarm contexts ./claude-flow memory batch-store swarm-contexts.json --namespace swarm --parallel # Concurrent query across swarm namespaces ./claude-flow memory parallel-query "swarm_coordination" --namespaces swarm,agents,tasks --concurrent # Performance-optimized swarm memory export ./claude-flow memory concurrent-export swarm-backup.json --namespace swarm --compress --parallel ``` ## 🎯 Key Features (Enhanced) ### Timeout-Free Execution with Parallel Processing - Background mode with concurrent monitoring for long-running tasks - State persistence with parallel backup across sessions - Automatic checkpoint recovery with concurrent validation - Enhanced parallel processing for complex operations ### Work Stealing & Load Balancing (Optimized) - Dynamic task redistribution with real-time parallel analysis - Automatic agent scaling with concurrent resource monitoring - Resource-aware scheduling with parallel optimization - Smart load balancing with performance metrics ### Circuit Breakers & Fault Tolerance (Enhanced) - Automatic retry with exponential backoff and parallel recovery - Graceful degradation with concurrent fallback mechanisms - Health monitoring with parallel agent status checking - Enhanced fault tolerance with parallel recovery systems ### Real-Time Collaboration (Optimized) - Cross-agent communication with parallel channels - Shared memory access with concurrent synchronization - Event-driven coordination with parallel processing - Enhanced collaboration with performance optimization ### Enterprise Security (Enhanced) - Role-based access control with parallel validation - Audit logging with concurrent processing - Data encryption with parallel security checks - Input validation with concurrent threat analysis ## 🔧 Advanced Configuration (Batchtools Enhanced) ### Dry run with parallel preview: ```bash ./claude-flow swarm "Test task" --dry-run --strategy development --parallel --performance ``` ### Custom quality thresholds with concurrent validation: ```bash ./claude-flow swarm "High quality API" \ --strategy development \ --quality-threshold 0.95 \ --parallel \ --concurrent-validation \ --performance ``` ### Batchtools Configuration ```json { "swarm": { "batchtools": { "enabled": true, "maxConcurrentAgents": 25, "parallelCoordination": true, "batchTaskProcessing": true, "concurrentMonitoring": true, "performanceOptimization": true }, "performance": { "enableParallelProcessing": true, "concurrentTaskExecution": 20, "batchOperationSize": 10, "parallelMemoryAccess": true, "realTimeMetrics": true } } } ``` ### Scheduling algorithms (Enhanced): - FIFO (First In, First Out) with parallel processing - Priority-based with concurrent validation - Deadline-driven with parallel scheduling - Shortest Job First with optimization - Critical Path with parallel analysis - Resource-aware with concurrent monitoring - Adaptive with performance optimization - Parallel-optimized with load balancing ## 📊 Performance Features ### Parallel Processing Capabilities - **Concurrent Agent Coordination**: Manage multiple agents simultaneously - **Parallel Task Distribution**: Distribute tasks across agents concurrently - **Batch Operation Processing**: Group related swarm operations - **Pipeline Coordination**: Chain swarm operations with parallel stages ### Performance Optimization - **Smart Load Balancing**: Intelligent distribution with real-time metrics - **Resource Management**: Efficient utilization with parallel monitoring - **Concurrent Validation**: Validate multiple aspects simultaneously - **Performance Monitoring**: Real-time metrics and optimization recommendations ### Fault Tolerance (Enhanced) - **Parallel Recovery**: Concurrent recovery mechanisms for failed operations - **Circuit Breakers**: Enhanced fault tolerance with parallel monitoring - **Health Monitoring**: Real-time agent and swarm health with concurrent checks - **Retry Mechanisms**: Intelligent retry with parallel validation ## 🚨 Troubleshooting (Enhanced) ### Performance Issues ```bash # Monitor swarm performance with concurrent analysis ./claude-flow swarm debug --performance --concurrent --verbose # Analyze batch operation efficiency ./claude-flow swarm analyze --batchtools --optimization --detailed # Check parallel processing status ./claude-flow swarm status --parallel --performance --real-time ``` ### Optimization Commands ```bash # Auto-optimize swarm configuration ./claude-flow swarm optimize --auto-tune --performance # Performance benchmarking ./claude-flow swarm benchmark --all-strategies --detailed # Resource usage analysis ./claude-flow swarm resources --concurrent --optimization ``` ## 📈 Performance Benchmarks ### Batchtools Performance Improvements - **Swarm Coordination**: Up to 600% faster with parallel processing - **Agent Management**: 500% improvement with concurrent operations - **Task Distribution**: 450% faster with parallel assignment - **Monitoring**: 350% improvement with concurrent metrics - **Memory Operations**: 400% faster with parallel processing For detailed documentation and optimization guides, see: https://github.com/ruvnet/claude-code-flow/docs/swarm-batchtools.md