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Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fruvnet\u002Fswarm-orchestration\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"orchestration","swarm","Swarm Orchestration","with","agentic","multi","systems","scaling","parallel task","task","use","parallel","multi-agent","coordination","execution","flow","topology","orchestrate","distributed","workflows","2026-11-10 10:12:30",false,"---\nname: swarm-orchestration\ndescription: \"Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.\"\n---\n\n# Swarm Orchestration\n\n## What This Skill Does\n\nOrchestrates multi-agent swarms using agentic-flow's advanced coordination system. Supports mesh, hierarchical, and adaptive topologies with automatic task distribution, load balancing, and fault tolerance.\n\n## Prerequisites\n\n- agentic-flow v1.5.11+\n- Node.js 18+\n- Understanding of distributed systems (helpful)\n\n## Quick Start\n\n```bash\n# Initialize swarm\nnpx agentic-flow hooks swarm-init --topology mesh --max-agents 5\n\n# Spawn agents\nnpx agentic-flow hooks agent-spawn --type coder\nnpx agentic-flow hooks agent-spawn --type tester\nnpx agentic-flow hooks agent-spawn --type reviewer\n\n# Orchestrate task\nnpx agentic-flow hooks task-orchestrate \\\n  --task \"Build REST API with tests\" \\\n  --mode parallel\n```\n\n## Topology Patterns\n\n### 1. Mesh (Peer-to-Peer)\n```typescript\n\u002F\u002F Equal peers, distributed decision-making\nawait swarm.init({\n  topology: 'mesh',\n  agents: ['coder', 'tester', 'reviewer'],\n  communication: 'broadcast'\n});\n```\n\n### 2. Hierarchical (Queen-Worker)\n```typescript\n\u002F\u002F Centralized coordination, specialized workers\nawait swarm.init({\n  topology: 'hierarchical',\n  queen: 'architect',\n  workers: ['backend-dev', 'frontend-dev', 'db-designer']\n});\n```\n\n### 3. Adaptive (Dynamic)\n```typescript\n\u002F\u002F Automatically switches topology based on task\nawait swarm.init({\n  topology: 'adaptive',\n  optimization: 'task-complexity'\n});\n```\n\n## Task Orchestration\n\n### Parallel Execution\n```typescript\n\u002F\u002F Execute tasks concurrently\nconst results = await swarm.execute({\n  tasks: [\n    { agent: 'coder', task: 'Implement API endpoints' },\n    { agent: 'frontend', task: 'Build UI components' },\n    { agent: 'tester', task: 'Write test suite' }\n  ],\n  mode: 'parallel',\n  timeout: 300000 \u002F\u002F 5 minutes\n});\n```\n\n### Pipeline Execution\n```typescript\n\u002F\u002F Sequential pipeline with dependencies\nawait swarm.pipeline([\n  { stage: 'design', agent: 'architect' },\n  { stage: 'implement', agent: 'coder', after: 'design' },\n  { stage: 'test', agent: 'tester', after: 'implement' },\n  { stage: 'review', agent: 'reviewer', after: 'test' }\n]);\n```\n\n### Adaptive Execution\n```typescript\n\u002F\u002F Let swarm decide execution strategy\nawait swarm.autoOrchestrate({\n  goal: 'Build production-ready API',\n  constraints: {\n    maxTime: 3600,\n    maxAgents: 8,\n    quality: 'high'\n  }\n});\n```\n\n## Memory Coordination\n\n```typescript\n\u002F\u002F Share state across swarm\nawait swarm.memory.store('api-schema', {\n  endpoints: [...],\n  models: [...]\n});\n\n\u002F\u002F Agents read shared memory\nconst schema = await swarm.memory.retrieve('api-schema');\n```\n\n## Advanced Features\n\n### Load Balancing\n```typescript\n\u002F\u002F Automatic work distribution\nawait swarm.enableLoadBalancing({\n  strategy: 'dynamic',\n  metrics: ['cpu', 'memory', 'task-queue']\n});\n```\n\n### Fault Tolerance\n```typescript\n\u002F\u002F Handle agent failures\nawait swarm.setResiliency({\n  retry: { maxAttempts: 3, backoff: 'exponential' },\n  fallback: 'reassign-task'\n});\n```\n\n### Performance Monitoring\n```typescript\n\u002F\u002F Track swarm metrics\nconst metrics = await swarm.getMetrics();\n\u002F\u002F { throughput, latency, success_rate, agent_utilization }\n```\n\n## Integration with Hooks\n\n```bash\n# Pre-task coordination\nnpx agentic-flow hooks pre-task --description \"Build API\"\n\n# Post-task synchronization\nnpx agentic-flow hooks post-task --task-id \"task-123\"\n\n# Session restore\nnpx agentic-flow hooks session-restore --session-id \"swarm-001\"\n```\n\n## Best Practices\n\n1. **Start small**: Begin with 2-3 agents, scale up\n2. **Use memory**: Share context through swarm memory\n3. **Monitor metrics**: Track performance and bottlenecks\n4. **Enable hooks**: Automatic coordination and sync\n5. **Set timeouts**: Prevent hung tasks\n\n## Troubleshooting\n\n### Issue: Agents not coordinating\n**Solution**: Verify memory access and enable hooks\n\n### Issue: Poor performance\n**Solution**: Check topology (use adaptive) and enable load balancing\n\n## Learn More\n\n- Swarm Guide: docs\u002Fswarm\u002Forchestration.md\n- Topology Patterns: docs\u002Fswarm\u002Ftopologies.md\n- Hooks Integration: docs\u002Fhooks\u002Fcoordination.md\n","# Swarm Orchestration\n\n## What This Skill Does\n\nOrchestrates multi-agent swarms using agentic-flow's advanced coordination system. Supports mesh, hierarchical, and adaptive topologies with automatic task distribution, load balancing, and fault tolerance.\n\n## Prerequisites\n\n- agentic-flow v1.5.11+\n- Node.js 18+\n- Understanding of distributed systems (helpful)\n\n## Quick Start\n\n```bash\n# Initialize swarm\nnpx agentic-flow hooks swarm-init --topology mesh --max-agents 5\n\n# Spawn agents\nnpx agentic-flow hooks agent-spawn --type coder\nnpx agentic-flow hooks agent-spawn --type tester\nnpx agentic-flow hooks agent-spawn --type reviewer\n\n# Orchestrate task\nnpx agentic-flow hooks task-orchestrate \\\n  --task \"Build REST API with tests\" \\\n  --mode parallel\n```\n\n## Topology Patterns\n\n### 1. Mesh (Peer-to-Peer)\n```typescript\n\u002F\u002F Equal peers, distributed decision-making\nawait swarm.init({\n  topology: 'mesh',\n  agents: ['coder', 'tester', 'reviewer'],\n  communication: 'broadcast'\n});\n```\n\n### 2. Hierarchical (Queen-Worker)\n```typescript\n\u002F\u002F Centralized coordination, specialized workers\nawait swarm.init({\n  topology: 'hierarchical',\n  queen: 'architect',\n  workers: ['backend-dev', 'frontend-dev', 'db-designer']\n});\n```\n\n### 3. Adaptive (Dynamic)\n```typescript\n\u002F\u002F Automatically switches topology based on task\nawait swarm.init({\n  topology: 'adaptive',\n  optimization: 'task-complexity'\n});\n```\n\n## Task Orchestration\n\n### Parallel Execution\n```typescript\n\u002F\u002F Execute tasks concurrently\nconst results = await swarm.execute({\n  tasks: [\n    { agent: 'coder', task: 'Implement API endpoints' },\n    { agent: 'frontend', task: 'Build UI components' },\n    { agent: 'tester', task: 'Write test suite' }\n  ],\n  mode: 'parallel',\n  timeout: 300000 \u002F\u002F 5 minutes\n});\n```\n\n### Pipeline Execution\n```typescript\n\u002F\u002F Sequential pipeline with dependencies\nawait swarm.pipeline([\n  { stage: 'design', agent: 'architect' },\n  { stage: 'implement', agent: 'coder', after: 'design' },\n  { stage: 'test', agent: 'tester', after: 'implement' },\n  { stage: 'review', agent: 'reviewer', after: 'test' }\n]);\n```\n\n### Adaptive Execution\n```typescript\n\u002F\u002F Let swarm decide execution strategy\nawait swarm.autoOrchestrate({\n  goal: 'Build production-ready API',\n  constraints: {\n    maxTime: 3600,\n    maxAgents: 8,\n    quality: 'high'\n  }\n});\n```\n\n## Memory Coordination\n\n```typescript\n\u002F\u002F Share state across swarm\nawait swarm.memory.store('api-schema', {\n  endpoints: [...],\n  models: [...]\n});\n\n\u002F\u002F Agents read shared memory\nconst schema = await swarm.memory.retrieve('api-schema');\n```\n\n## Advanced Features\n\n### Load Balancing\n```typescript\n\u002F\u002F Automatic work distribution\nawait swarm.enableLoadBalancing({\n  strategy: 'dynamic',\n  metrics: ['cpu', 'memory', 'task-queue']\n});\n```\n\n### Fault Tolerance\n```typescript\n\u002F\u002F Handle agent failures\nawait swarm.setResiliency({\n  retry: { maxAttempts: 3, backoff: 'exponential' },\n  fallback: 'reassign-task'\n});\n```\n\n### Performance Monitoring\n```typescript\n\u002F\u002F Track swarm metrics\nconst metrics = await swarm.getMetrics();\n\u002F\u002F { throughput, latency, success_rate, agent_utilization }\n```\n\n## Integration with Hooks\n\n```bash\n# Pre-task coordination\nnpx agentic-flow hooks pre-task --description \"Build API\"\n\n# Post-task synchronization\nnpx agentic-flow hooks post-task --task-id \"task-123\"\n\n# Session restore\nnpx agentic-flow hooks session-restore --session-id \"swarm-001\"\n```\n\n## Best Practices\n\n1. **Start small**: Begin with 2-3 agents, scale up\n2. **Use memory**: Share context through swarm memory\n3. **Monitor metrics**: Track performance and bottlenecks\n4. **Enable hooks**: Automatic coordination and sync\n5. **Set timeouts**: Prevent hung tasks\n\n## Troubleshooting\n\n### Issue: Agents not coordinating\n**Solution**: Verify memory access and enable hooks\n\n### Issue: Poor performance\n**Solution**: Check topology (use adaptive) and enable load balancing\n\n## Learn More\n\n- Swarm Guide: docs\u002Fswarm\u002Forchestration.md\n- Topology Patterns: 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