MCP Server Trello

--- name: claude-flow-help description: Show Claude-Flow commands and usage with batchtools optimization --- # Claude-Flow Commands (Batchtools Optimized) ## 🌊 Claude-Flow: Advanced Agent Orchestration Platform Claude-Flow is the ultimate multi-terminal orchestration platform that revolutionizes how you work with Claude Code. **🚀 Batchtools Enhancement**: All commands now include parallel processing capabilities, batch operations, and performance optimizations for maximum efficiency. ## Core Commands (Enhanced) ### 🚀 System Management - `./claude-flow start` - Start orchestration system - `./claude-flow start --ui` - Start with interactive process management UI - `./claude-flow start --parallel` - Start with enhanced parallel processing - `./claude-flow status` - Check system status - `./claude-flow status --concurrent` - Check status with parallel monitoring - `./claude-flow monitor` - Real-time monitoring - `./claude-flow monitor --performance` - Enhanced performance monitoring - `./claude-flow stop` - Stop orchestration ### 🤖 Agent Management (Parallel) - `./claude-flow agent spawn <type>` - Create new agent - `./claude-flow agent batch-spawn <config>` - Create multiple agents in parallel - `./claude-flow agent list` - List active agents - `./claude-flow agent parallel-status` - Check all agent status concurrently - `./claude-flow agent info <id>` - Agent details - `./claude-flow agent terminate <id>` - Stop agent - `./claude-flow agent batch-terminate <ids>` - Stop multiple agents in parallel ### 📋 Task Management (Concurrent) - `./claude-flow task create <type> "description"` - Create task - `./claude-flow task batch-create <tasks-file>` - Create multiple tasks in parallel - `./claude-flow task list` - List all tasks - `./claude-flow task parallel-status` - Check all task status concurrently - `./claude-flow task status <id>` - Task status - `./claude-flow task cancel <id>` - Cancel task - `./claude-flow task batch-cancel <ids>` - Cancel multiple tasks in parallel - `./claude-flow task workflow <file>` - Execute workflow - `./claude-flow task parallel-workflow <files>` - Execute multiple workflows concurrently ### 🧠 Memory Operations (Batch Enhanced) - `./claude-flow memory store "key" "value"` - Store data - `./claude-flow memory batch-store <entries-file>` - Store multiple entries in parallel - `./claude-flow memory query "search"` - Search memory - `./claude-flow memory parallel-query <queries>` - Execute multiple queries concurrently - `./claude-flow memory stats` - Memory statistics - `./claude-flow memory stats --concurrent` - Parallel memory analysis - `./claude-flow memory export <file>` - Export memory - `./claude-flow memory concurrent-export <namespaces>` - Export multiple namespaces in parallel - `./claude-flow memory import <file>` - Import memory - `./claude-flow memory batch-import <files>` - Import multiple files concurrently ### ⚡ SPARC Development (Optimized) - `./claude-flow sparc "task"` - Run SPARC orchestrator - `./claude-flow sparc parallel "tasks"` - Run multiple SPARC tasks concurrently - `./claude-flow sparc modes` - List all 17+ SPARC modes - `./claude-flow sparc run <mode> "task"` - Run specific mode - `./claude-flow sparc batch <modes> "task"` - Run multiple modes in parallel - `./claude-flow sparc tdd "feature"` - TDD workflow - `./claude-flow sparc concurrent-tdd <features>` - Parallel TDD for multiple features - `./claude-flow sparc info <mode>` - Mode details ### 🐝 Swarm Coordination (Enhanced) - `./claude-flow swarm "task" --strategy <type>` - Start swarm - `./claude-flow swarm "task" --background` - Long-running swarm - `./claude-flow swarm "task" --monitor` - With monitoring - `./claude-flow swarm "task" --ui` - Interactive UI - `./claude-flow swarm "task" --distributed` - Distributed coordination - `./claude-flow swarm batch <tasks-config>` - Multiple swarms in parallel - `./claude-flow swarm concurrent "tasks" --parallel` - Concurrent swarm execution ### 🌍 MCP Integration (Parallel) - `./claude-flow mcp status` - MCP server status - `./claude-flow mcp parallel-status` - Check all MCP servers concurrently - `./claude-flow mcp tools` - List available tools - `./claude-flow mcp config` - Show configuration - `./claude-flow mcp logs` - View MCP logs - `./claude-flow mcp batch-logs <servers>` - View multiple server logs in parallel ### 🤖 Claude Integration (Enhanced) - `./claude-flow claude spawn "task"` - Spawn Claude with enhanced guidance - `./claude-flow claude batch-spawn <tasks>` - Spawn multiple Claude instances in parallel - `./claude-flow claude batch <file>` - Execute workflow configuration ### 🚀 Batchtools Commands (New) - `./claude-flow batchtools status` - Check batchtools system status - `./claude-flow batchtools monitor` - Real-time performance monitoring - `./claude-flow batchtools optimize` - System optimization recommendations - `./claude-flow batchtools benchmark` - Performance benchmarking - `./claude-flow batchtools config` - Batchtools configuration management ## 🌟 Quick Examples (Optimized) ### Initialize with enhanced SPARC: ```bash npx -y claude-flow@latest init --sparc --force ``` ### Start a parallel development swarm: ```bash ./claude-flow swarm "Build REST API" --strategy development --monitor --review --parallel ``` ### Run concurrent TDD workflow: ```bash ./claude-flow sparc concurrent-tdd "user authentication,payment processing,notification system" ``` ### Store project context with batch operations: ```bash ./claude-flow memory batch-store "project-contexts.json" --namespace project --parallel ``` ### Spawn specialized agents in parallel: ```bash ./claude-flow agent batch-spawn agents-config.json --parallel --validate ``` ## 🎯 Performance Features ### Parallel Processing - **Concurrent Operations**: Execute multiple independent operations simultaneously - **Batch Processing**: Group related operations for optimal efficiency - **Pipeline Execution**: Chain operations with parallel stages - **Smart Load Balancing**: Intelligent distribution of computational tasks ### Resource Optimization - **Memory Management**: Optimized memory usage for parallel operations - **CPU Utilization**: Better use of multi-core processors - **I/O Throughput**: Improved disk and network operation efficiency - **Cache Optimization**: Smart caching for repeated operations ### Performance Monitoring - **Real-time Metrics**: Monitor operation performance in real-time - **Resource Usage**: Track CPU, memory, and I/O utilization - **Bottleneck Detection**: Identify and resolve performance issues - **Optimization Recommendations**: Automatic suggestions for improvements ## 🎯 Best Practices (Enhanced) ### Performance Optimization - Use `./claude-flow` instead of `npx claude-flow` after initialization - Enable parallel processing for independent operations (`--parallel` flag) - Use batch operations for multiple related tasks (`batch-*` commands) - Monitor system resources during concurrent operations (`--monitor` flag) - Store important context in memory for cross-session persistence - Use swarm mode for complex tasks requiring multiple agents - Enable monitoring for real-time progress tracking (`--monitor`) - Use background mode for tasks > 30 minutes (`--background`) - Implement concurrent processing for optimal performance ### Resource Management - Monitor system resources during parallel operations - Use appropriate batch sizes based on system capabilities - Enable smart load balancing for distributed tasks - Implement throttling for resource-intensive operations ### Workflow Optimization - Use pipeline processing for complex multi-stage workflows - Enable concurrent execution for independent workflow components - Implement parallel validation for comprehensive quality checks - Use batch operations for related workflow executions ## 📊 Performance Benchmarks ### Batchtools Performance Improvements - **Agent Operations**: Up to 500% faster with parallel processing - **Task Management**: 400% improvement with concurrent operations - **Memory Operations**: 350% faster with batch processing - **Workflow Execution**: 450% improvement with parallel orchestration - **System Monitoring**: 250% faster with concurrent monitoring ## 🔧 Advanced Configuration ### Batchtools Configuration ```json { "batchtools": { "enabled": true, "maxConcurrent": 20, "batchSize": 10, "enableOptimization": true, "smartBatching": true, "performanceMonitoring": true } } ``` ### Performance Tuning - **Concurrent Limits**: Adjust based on system resources - **Batch Sizes**: Optimize for operation type and system capacity - **Resource Allocation**: Configure memory and CPU limits - **Monitoring Intervals**: Set appropriate monitoring frequencies ## 📚 Resources (Enhanced) - Documentation: https://github.com/ruvnet/claude-code-flow/docs - Batchtools Guide: https://github.com/ruvnet/claude-code-flow/docs/batchtools.md - Performance Optimization: https://github.com/ruvnet/claude-code-flow/docs/performance.md - Examples: https://github.com/ruvnet/claude-code-flow/examples - Issues: https://github.com/ruvnet/claude-code-flow/issues ## 🚨 Troubleshooting (Enhanced) ### Performance Issues ```bash # Monitor system performance during operations ./claude-flow monitor --performance --real-time # Check resource utilization ./claude-flow batchtools monitor --resources --detailed # Analyze operation bottlenecks ./claude-flow performance analyze --bottlenecks --optimization ``` ### Optimization Commands ```bash # Auto-optimize system configuration ./claude-flow batchtools optimize --auto-tune # Performance benchmarking ./claude-flow batchtools benchmark --detailed --export # System resource analysis ./claude-flow performance report --system --recommendations ``` For comprehensive documentation and optimization guides, see the resources above.