claude-flow-swarm
Claude-flow-swarm coordinates multiple AI agents to tackle complex tasks by distributing work across specialized agent types like developers, researchers, and testers. Use this command when breaking down large projects into parallel subtasks, such as building APIs with code review and testing, conducting research analysis, or performing comprehensive system optimization where different expertise areas need simultaneous coordination.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/ruvnet/agentic-flow/HEAD/.claude/commands/claude-flow-swarm.md -o ~/.claude/commands/claude-flow-swarm.mdclaude-flow-swarm.md
# 🐝 Claude-Flow Swarm Coordination Advanced multi-agent coordination system with timeout-free execution, distributed memory sharing, and intelligent load balancing. ## Basic Usage ```bash ./claude-flow swarm "your complex task" --strategy <type> [options] ``` ## 🎯 Swarm Strategies - **auto** - Automatic strategy selection based on task analysis - **development** - Code implementation with review and testing - **research** - Information gathering and synthesis - **analysis** - Data processing and pattern identification - **testing** - Comprehensive quality assurance - **optimization** - Performance tuning and refactoring - **maintenance** - System updates and bug fixes ## 🤖 Agent Types - **coordinator** - Plans and delegates tasks to other agents - **developer** - Writes code and implements solutions - **researcher** - Gathers and analyzes information - **analyzer** - Identifies patterns and generates insights - **tester** - Creates and runs tests for quality assurance - **reviewer** - Performs code and design reviews - **documenter** - Creates documentation and guides - **monitor** - Tracks performance and system health - **specialist** - Domain-specific expert agents ## 🔄 Coordination Modes - **centralized** - Single coordinator manages all agents (default) - **distributed** - Multiple coordinators share management - **hierarchical** - Tree structure with nested coordination - **mesh** - Peer-to-peer agent collaboration - **hybrid** - Mixed coordination strategies ## ⚙️ Common Options - `--strategy <type>` - Execution strategy - `--mode <type>` - Coordination mode - `--max-agents <n>` - Maximum concurrent agents (default: 5) - `--timeout <minutes>` - Timeout in minutes (default: 60) - `--background` - Run in background for tasks > 30 minutes - `--monitor` - Enable real-time monitoring - `--ui` - Launch terminal UI interface - `--parallel` - Enable parallel execution - `--distributed` - Enable distributed coordination - `--review` - Enable peer review process - `--testing` - Include automated testing - `--encryption` - Enable data encryption - `--verbose` - Detailed logging output - `--dry-run` - Show configuration without executing ## 🌟 Examples ### Development Swarm with Review ```bash ./claude-flow swarm "Build e-commerce REST API" \ --strategy development \ --monitor \ --review \ --testing ``` ### Long-Running Research Swarm ```bash ./claude-flow swarm "Analyze AI market trends 2024-2025" \ --strategy research \ --background \ --distributed \ --max-agents 8 ``` ### Performance Optimization Swarm ```bash ./claude-flow swarm "Optimize database queries and API performance" \ --strategy optimization \ --testing \ --parallel \ --monitor ``` ### Enterprise Development Swarm ```bash ./claude-flow swarm "Implement secure payment processing system" \ --strategy development \ --mode distributed \ --max-agents 10 \ --parallel \ --monitor \ --review \ --testing \ --encryption \ --verbose ``` ### Testing and QA Swarm ```bash ./claude-flow swarm "Comprehensive security audit and testing" \ --strategy testing \ --review \ --verbose \ --max-agents 6 ``` ## 📊 Monitoring and Control ### Real-time monitoring: ```bash # Monitor swarm activity ./claude-flow monitor # Monitor specific component ./claude-flow monitor --focus swarm ``` ### Check swarm status: ```bash # Overall system status ./claude-flow status # Detailed swarm status ./claude-flow status --verbose ``` ### View agent activity: ```bash # List all agents ./claude-flow agent list # Agent details ./claude-flow agent info <agent-id> ``` ## 💾 Memory Integration Swarms automatically use distributed memory for collaboration: ```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 ``` ## 🎯 Key Features ### Timeout-Free Execution - Background mode for long-running tasks - State persistence across sessions - Automatic checkpoint recovery ### Work Stealing & Load Balancing - Dynamic task redistribution - Automatic agent scaling - Resource-aware scheduling ### Circuit Breakers & Fault Tolerance - Automatic retry with exponential backoff - Graceful degradation - Health monitoring and recovery ### Real-Time Collaboration - Cross-agent communication - Shared memory access - Event-driven coordination ### Enterprise Security - Role-based access control - Audit logging - Data encryption - Input validation ## 🔧 Advanced Configuration ### Dry run to preview: ```bash ./claude-flow swarm "Test task" --dry-run --strategy development ``` ### Custom quality thresholds: ```bash ./claude-flow swarm "High quality API" \ --strategy development \ --quality-threshold 0.95 ``` ### Scheduling algorithms: - FIFO (First In, First Out) - Priority-based - Deadline-driven - Shortest Job First - Critical Path - Resource-aware - Adaptive For detailed documentation, see: https://github.com/ruvnet/claude-code-flow/docs/swarm-system.md
Use this agent when you need to create foundational templates, boilerplate code, or starter configurations for new projects, components, or features. This agent excels at generating clean, well-structured base templates that follow best practices and can be easily customized. Examples: <example>Context: User needs to start a new React component and wants a solid foundation. user: 'I need to create a new user profile component' assistant: 'I'll use the base-template-generator agent to create a comprehensive React component template with proper structure, TypeScript definitions, and styling setup.' <commentary>Since the user needs a foundational template for a new component, use the base-template-generator agent to create a well-structured starting point.</commentary></example> <example>Context: User is setting up a new API endpoint and needs a template. user: 'Can you help me set up a new REST API endpoint for user management?' assistant: 'I'll use the base-template-generator agent to create a complete API endpoint template with proper error handling, validation, and documentation structure.' <commentary>The user needs a foundational template for an API endpoint, so use the base-template-generator agent to provide a comprehensive starting point.</commentary></example>
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