[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ESVQPG22PCX6TT7EX2ZXDV":3,"skill-same:01M6ESVQPG22PCX6TT7EX2ZXDV":111},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":68,"commitSha":69,"skillDirectory":70,"forksCount":71,"repositoryHtmlUrl":72,"repositoryHomepageUrl":73,"ownerHtmlUrl":74,"ownerBlogUrl":6,"ownerDescription":75,"updatedAt":76,"install":77,"resources":90},"01M6ESVQPG22PCX6TT7EX2ZXDV","when-orchestrating-swarm-use-swarm-orchestration",null,"Complex multi-agent swarm orchestration with task decomposition, distributed execution, and result synthesis","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fdnyoussef\u002Fwhen-orchestrating-swarm-use-swarm-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],"Swarm Orchestration","when orchestrating swarm use swarm orchestration","use","swarm","orchestration","metrics","flow","execution","distributed","coordination","multi-agent","performance","orchestrator","workflow","task","decomposition","agent swarm orchestration","coordinator","agent coordination","with","2026-11-10 10:12:30",false,"---\nname: when-orchestrating-swarm-use-swarm-orchestration\ndescription: Complex multi-agent swarm orchestration with task decomposition, distributed execution, and result synthesis\nversion: 1.0.0\ntags:\n  - swarm\n  - orchestration\n  - coordination\n  - task-decomposition\n  - result-synthesis\ncategory: workflow\nagents:\n  - task-orchestrator\n  - hierarchical-coordinator\n  - adaptive-coordinator\ncomplexity: advanced\nestimated_duration: 60-120 minutes\nprerequisites:\n  - Claude Flow installed and configured\n  - Understanding of task decomposition\n  - Multi-agent coordination experience\noutputs:\n  - Orchestrated swarm execution\n  - Task decomposition tree\n  - Synthesized results\n  - Performance metrics\n---\n\n# Swarm Orchestration SOP\n\n## Overview\n\nThis skill implements complex multi-agent swarm orchestration with intelligent task decomposition, distributed execution, progress monitoring, and result synthesis. It enables coordinated execution of complex workflows across multiple specialized agents.\n\n## Agents & Responsibilities\n\n### task-orchestrator\n**Role:** Central orchestration and task decomposition\n**Responsibilities:**\n- Decompose complex tasks into subtasks\n- Assign tasks to appropriate agents\n- Monitor execution progress\n- Synthesize results from multiple agents\n\n### hierarchical-coordinator\n**Role:** Hierarchical task delegation and coordination\n**Responsibilities:**\n- Manage task hierarchy\n- Coordinate parent-child task relationships\n- Handle task dependencies\n- Ensure proper execution order\n\n### adaptive-coordinator\n**Role:** Dynamic workload balancing and optimization\n**Responsibilities:**\n- Monitor agent workloads\n- Rebalance task assignments\n- Optimize resource allocation\n- Adapt to changing conditions\n\n## Phase 1: Plan Orchestration\n\n### Objective\nAnalyze complex task requirements and create detailed decomposition plan with dependency mapping.\n\n### Evidence-Based Validation\n- [ ] Task decomposition tree created\n- [ ] Dependencies mapped\n- [ ] Agent assignments planned\n- [ ] Execution strategy defined\n\n### Scripts\n\n```bash\n# Analyze task complexity\nnpx claude-flow@alpha task analyze --task \"Build full-stack application\" --output task-analysis.json\n\n# Generate decomposition tree\nnpx claude-flow@alpha task decompose \\\n  --task \"Build full-stack application\" \\\n  --max-depth 3 \\\n  --output decomposition.json\n\n# Visualize decomposition\nnpx claude-flow@alpha task visualize --input decomposition.json --output task-tree.png\n\n# Store decomposition in memory\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fdecomposition\" \\\n  --file decomposition.json\n\n# Identify dependencies\nnpx claude-flow@alpha task dependencies \\\n  --input decomposition.json \\\n  --output dependencies.json\n\n# Plan agent assignments\nnpx claude-flow@alpha task plan \\\n  --decomposition decomposition.json \\\n  --available-agents 12 \\\n  --output execution-plan.json\n```\n\n### Task Decomposition Strategy\n\n**Level 1: High-Level Goals**\n```json\n{\n  \"task\": \"Build full-stack application\",\n  \"subtasks\": [\n    \"Design architecture\",\n    \"Implement backend\",\n    \"Implement frontend\",\n    \"Setup infrastructure\",\n    \"Testing and QA\"\n  ]\n}\n```\n\n**Level 2: Component Tasks**\n```json\n{\n  \"task\": \"Implement backend\",\n  \"subtasks\": [\n    \"Design API endpoints\",\n    \"Implement authentication\",\n    \"Setup database\",\n    \"Create business logic\",\n    \"API documentation\"\n  ]\n}\n```\n\n**Level 3: Atomic Tasks**\n```json\n{\n  \"task\": \"Implement authentication\",\n  \"subtasks\": [\n    \"Setup JWT library\",\n    \"Create user model\",\n    \"Implement login endpoint\",\n    \"Implement registration endpoint\",\n    \"Add password hashing\",\n    \"Create auth middleware\"\n  ]\n}\n```\n\n### Memory Patterns\n\n```bash\n# Store orchestration plan\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fplan\" \\\n  --value '{\n    \"totalTasks\": 45,\n    \"levels\": 3,\n    \"estimatedDuration\": \"2h 30m\",\n    \"requiredAgents\": 12\n  }'\n\n# Store dependency graph\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fdependencies\" \\\n  --value '{\n    \"task-003\": [\"task-001\", \"task-002\"],\n    \"task-008\": [\"task-003\", \"task-004\"],\n    \"task-012\": [\"task-008\", \"task-009\"]\n  }'\n```\n\n### Validation Criteria\n1. Task tree depth ≤ 3 levels\n2. All tasks have clear success criteria\n3. Dependencies correctly identified\n4. No circular dependencies\n5. Agent capacity sufficient for load\n\n## Phase 2: Initialize Swarm\n\n### Objective\nSetup swarm infrastructure with appropriate topology and coordinator agents.\n\n### Evidence-Based Validation\n- [ ] Swarm initialized successfully\n- [ ] Topology optimized for workload\n- [ ] Coordinator agents active\n- [ ] Memory coordination established\n\n### Scripts\n\n```bash\n# Determine optimal topology\nTASK_COUNT=$(jq '.totalTasks' decomposition.json)\n\nif [ \"$TASK_COUNT\" -gt 30 ]; then\n  TOPOLOGY=\"mesh\"\nelif [ \"$TASK_COUNT\" -gt 15 ]; then\n  TOPOLOGY=\"hierarchical\"\nelse\n  TOPOLOGY=\"star\"\nfi\n\n# Initialize swarm with optimal topology\nnpx claude-flow@alpha swarm init \\\n  --topology $TOPOLOGY \\\n  --max-agents 15 \\\n  --strategy adaptive\n\n# Spawn task orchestrator\nnpx claude-flow@alpha agent spawn \\\n  --type coordinator \\\n  --role \"task-orchestrator\" \\\n  --capabilities \"task-decomposition,assignment,synthesis\"\n\n# Spawn hierarchical coordinator\nnpx claude-flow@alpha agent spawn \\\n  --type coordinator \\\n  --role \"hierarchical-coordinator\" \\\n  --capabilities \"hierarchy-management,delegation\"\n\n# Spawn adaptive coordinator\nnpx claude-flow@alpha agent spawn \\\n  --type coordinator \\\n  --role \"adaptive-coordinator\" \\\n  --capabilities \"workload-balancing,optimization\"\n\n# Verify swarm status\nnpx claude-flow@alpha swarm status --show-agents --show-topology\n```\n\n### MCP Integration\n\n```javascript\n\u002F\u002F Initialize swarm\nmcp__claude-flow__swarm_init({\n  topology: \"hierarchical\",\n  maxAgents: 15,\n  strategy: \"adaptive\"\n})\n\n\u002F\u002F Spawn coordinators\nmcp__claude-flow__agent_spawn({\n  type: \"coordinator\",\n  name: \"task-orchestrator\",\n  capabilities: [\"task-decomposition\", \"assignment\", \"synthesis\"]\n})\n\nmcp__claude-flow__agent_spawn({\n  type: \"coordinator\",\n  name: \"hierarchical-coordinator\",\n  capabilities: [\"hierarchy-management\", \"delegation\"]\n})\n\nmcp__claude-flow__agent_spawn({\n  type: \"coordinator\",\n  name: \"adaptive-coordinator\",\n  capabilities: [\"workload-balancing\", \"optimization\"]\n})\n```\n\n### Memory Patterns\n\n```bash\n# Store swarm configuration\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fswarm\" \\\n  --value '{\n    \"swarmId\": \"swarm-12345\",\n    \"topology\": \"hierarchical\",\n    \"maxAgents\": 15,\n    \"coordinators\": [\"task-orchestrator\", \"hierarchical-coordinator\", \"adaptive-coordinator\"]\n  }'\n```\n\n### Validation Criteria\n1. Swarm operational\n2. All coordinators active\n3. Topology matches requirements\n4. Memory coordination functional\n5. Health checks passing\n\n## Phase 3: Orchestrate Execution\n\n### Objective\nCoordinate distributed task execution across swarm agents with proper dependency handling.\n\n### Evidence-Based Validation\n- [ ] All tasks assigned to agents\n- [ ] Dependencies respected\n- [ ] Execution in progress\n- [ ] Progress tracked continuously\n\n### Scripts\n\n```bash\n# Spawn specialized agents based on task requirements\nnpx claude-flow@alpha agent spawn --type researcher --count 2\nnpx claude-flow@alpha agent spawn --type coder --count 5\nnpx claude-flow@alpha agent spawn --type reviewer --count 2\nnpx claude-flow@alpha agent spawn --type tester --count 2\n\n# Orchestrate task execution\nnpx claude-flow@alpha task orchestrate \\\n  --plan execution-plan.json \\\n  --strategy adaptive \\\n  --max-agents 12 \\\n  --priority high\n\n# Alternative: Orchestrate with MCP\n# mcp__claude-flow__task_orchestrate({\n#   task: \"Execute full-stack application build\",\n#   strategy: \"adaptive\",\n#   maxAgents: 12,\n#   priority: \"high\"\n# })\n\n# Monitor orchestration status\nnpx claude-flow@alpha task status --detailed --json > task-status.json\n\n# Track individual task progress\nnpx claude-flow@alpha task list --filter \"in_progress\" --show-timing\n\n# Monitor agent workloads\nnpx claude-flow@alpha agent metrics --metric tasks --format table\n```\n\n### Task Assignment Algorithm\n\n```bash\n#!\u002Fbin\u002Fbash\n# assign-tasks.sh\n\n# Read decomposition\nTASKS=$(jq -r '.tasks[] | @json' decomposition.json)\n\nfor TASK in $TASKS; do\n  TASK_ID=$(echo $TASK | jq -r '.id')\n  TASK_TYPE=$(echo $TASK | jq -r '.type')\n  DEPENDENCIES=$(echo $TASK | jq -r '.dependencies[]')\n\n  # Check if dependencies completed\n  DEPS_COMPLETE=true\n  for DEP in $DEPENDENCIES; do\n    DEP_STATUS=$(npx claude-flow@alpha task status --task-id $DEP --format json | jq -r '.status')\n    if [ \"$DEP_STATUS\" != \"completed\" ]; then\n      DEPS_COMPLETE=false\n      break\n    fi\n  done\n\n  # Assign task if dependencies complete\n  if [ \"$DEPS_COMPLETE\" = true ]; then\n    # Find least loaded agent of required type\n    AGENT_ID=$(npx claude-flow@alpha agent list \\\n      --filter \"type=$TASK_TYPE\" \\\n      --sort-by load \\\n      --format json | jq -r '.[0].id')\n\n    # Assign task\n    npx claude-flow@alpha task assign \\\n      --task-id $TASK_ID \\\n      --agent-id $AGENT_ID\n\n    echo \"Assigned task $TASK_ID to agent $AGENT_ID\"\n  fi\ndone\n```\n\n### Memory Patterns\n\n```bash\n# Store task assignments\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fassignments\" \\\n  --value '{\n    \"task-001\": {\"agent\": \"agent-researcher-1\", \"status\": \"in_progress\", \"started\": \"2025-10-30T10:00:00Z\"},\n    \"task-002\": {\"agent\": \"agent-coder-1\", \"status\": \"in_progress\", \"started\": \"2025-10-30T10:01:00Z\"}\n  }'\n\n# Store execution timeline\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Ftimeline\" \\\n  --value '{\n    \"started\": \"2025-10-30T10:00:00Z\",\n    \"tasksCompleted\": 12,\n    \"tasksInProgress\": 8,\n    \"tasksPending\": 25\n  }'\n```\n\n### Validation Criteria\n1. All agents assigned tasks\n2. No dependency violations\n3. Task execution progressing\n4. No agent overload\n5. Error handling active\n\n## Phase 4: Monitor Progress\n\n### Objective\nTrack execution progress, identify blockers, and maintain real-time visibility.\n\n### Evidence-Based Validation\n- [ ] Progress metrics collected\n- [ ] Blockers identified quickly\n- [ ] Agents responding properly\n- [ ] Timeline on track\n\n### Scripts\n\n```bash\n# Start continuous monitoring\nnpx claude-flow@alpha swarm monitor \\\n  --interval 10 \\\n  --duration 3600 \\\n  --output orchestration-monitor.log &\n\n# Track task completion rate\nwhile true; do\n  COMPLETED=$(npx claude-flow@alpha task list --filter \"completed\" | wc -l)\n  TOTAL=$(npx claude-flow@alpha task list | wc -l)\n  PROGRESS=$((COMPLETED * 100 \u002F TOTAL))\n\n  echo \"Progress: $PROGRESS% ($COMPLETED\u002F$TOTAL tasks)\"\n\n  npx claude-flow@alpha memory store \\\n    --key \"orchestration\u002Fprogress\" \\\n    --value \"{\\\"completed\\\": $COMPLETED, \\\"total\\\": $TOTAL, \\\"percentage\\\": $PROGRESS}\"\n\n  sleep 30\ndone &\n\n# Monitor for blocked tasks\nnpx claude-flow@alpha task detect-blocked \\\n  --threshold 300 \\\n  --notify-on-block\n\n# Monitor agent health\nnpx claude-flow@alpha agent health-check --all --interval 60\n\n# Generate progress report\nnpx claude-flow@alpha orchestration report \\\n  --include-timeline \\\n  --include-agent-metrics \\\n  --output progress-report.md\n```\n\n### Progress Visualization\n\n```bash\n# Generate Gantt chart\nnpx claude-flow@alpha task gantt \\\n  --input task-status.json \\\n  --output gantt-chart.png\n\n# Generate network diagram\nnpx claude-flow@alpha task network \\\n  --show-dependencies \\\n  --show-progress \\\n  --output network-diagram.png\n```\n\n### Memory Patterns\n\n```bash\n# Store progress snapshots\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fsnapshot-$(date +%s)\" \\\n  --value '{\n    \"timestamp\": \"'$(date -Iseconds)'\",\n    \"completed\": 18,\n    \"inProgress\": 12,\n    \"pending\": 15,\n    \"blocked\": 0,\n    \"failed\": 0\n  }'\n\n# Store blocker information\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fblockers\" \\\n  --value '{\n    \"task-015\": {\"reason\": \"dependency-failed\", \"since\": \"2025-10-30T10:15:00Z\"},\n    \"task-022\": {\"reason\": \"agent-unresponsive\", \"since\": \"2025-10-30T10:20:00Z\"}\n  }'\n```\n\n### Validation Criteria\n1. Progress tracking accurate\n2. Blockers detected within 5 minutes\n3. No stalled tasks unnoticed\n4. Agent failures handled\n5. Progress reports generated\n\n## Phase 5: Synthesize Results\n\n### Objective\nAggregate and synthesize results from all completed tasks into coherent outputs.\n\n### Evidence-Based Validation\n- [ ] All task results collected\n- [ ] Results synthesized successfully\n- [ ] Output validated\n- [ ] Final report generated\n\n### Scripts\n\n```bash\n# Collect all task results\nnpx claude-flow@alpha task results --all --format json > all-results.json\n\n# Synthesize results by category\nnpx claude-flow@alpha task synthesize \\\n  --input all-results.json \\\n  --group-by category \\\n  --output synthesized-results.json\n\n# Generate final outputs\nnpx claude-flow@alpha orchestration finalize \\\n  --results synthesized-results.json \\\n  --output final-output\u002F\n\n# Validate outputs\nnpx claude-flow@alpha orchestration validate \\\n  --output final-output\u002F \\\n  --criteria validation-criteria.json\n\n# Generate final report\nnpx claude-flow@alpha orchestration report \\\n  --type final \\\n  --include-metrics \\\n  --include-timeline \\\n  --include-outputs \\\n  --output final-orchestration-report.md\n\n# Archive orchestration data\nnpx claude-flow@alpha orchestration archive \\\n  --output orchestration-archive-$(date +%Y%m%d-%H%M%S).tar.gz\n```\n\n### MCP Integration\n\n```javascript\n\u002F\u002F Get task results\nmcp__claude-flow__task_results({\n  taskId: \"all\",\n  format: \"detailed\"\n})\n\n\u002F\u002F Check final status\nmcp__claude-flow__task_status({\n  detailed: true\n})\n```\n\n### Result Synthesis Strategy\n\n**1. Collect Results:**\n```bash\n# Get results from each agent type\nRESEARCHER_RESULTS=$(npx claude-flow@alpha task results --agent-type researcher --format json)\nCODER_RESULTS=$(npx claude-flow@alpha task results --agent-type coder --format json)\nREVIEWER_RESULTS=$(npx claude-flow@alpha task results --agent-type reviewer --format json)\n```\n\n**2. Aggregate by Phase:**\n```bash\n# Architecture phase results\nARCHITECTURE=$(jq '[.[] | select(.phase==\"architecture\")]' all-results.json)\n\n# Implementation phase results\nIMPLEMENTATION=$(jq '[.[] | select(.phase==\"implementation\")]' all-results.json)\n\n# Testing phase results\nTESTING=$(jq '[.[] | select(.phase==\"testing\")]' all-results.json)\n```\n\n**3. Synthesize Final Output:**\n```bash\n# Combine all results\njq -s '{\n  architecture: .[0],\n  implementation: .[1],\n  testing: .[2],\n  metadata: {\n    totalTasks: (.[0] + .[1] + .[2] | length),\n    duration: \"'$(date -Iseconds)'\",\n    successRate: 0.98\n  }\n}' \\\n  \u003C(echo \"$ARCHITECTURE\") \\\n  \u003C(echo \"$IMPLEMENTATION\") \\\n  \u003C(echo \"$TESTING\") \\\n  > final-synthesis.json\n```\n\n### Memory Patterns\n\n```bash\n# Store final results\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fresults\u002Ffinal\" \\\n  --file final-synthesis.json\n\n# Store performance metrics\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fmetrics\u002Ffinal\" \\\n  --value '{\n    \"totalTasks\": 45,\n    \"completed\": 44,\n    \"failed\": 1,\n    \"duration\": \"2h 18m\",\n    \"avgTaskTime\": \"3m 5s\",\n    \"throughput\": \"0.32 tasks\u002Fmin\"\n  }'\n```\n\n### Validation Criteria\n1. All task results accounted for\n2. Synthesis logic correct\n3. Outputs validated successfully\n4. No data loss\n5. Final report comprehensive\n\n## Success Criteria\n\n### Overall Validation\n- [ ] Task decomposition accurate\n- [ ] Swarm orchestration successful\n- [ ] All tasks completed (≥95%)\n- [ ] Results synthesized correctly\n- [ ] Performance targets met\n\n### Performance Targets\n- Task success rate: ≥95%\n- Average task completion time: Within estimates ±20%\n- Agent utilization: 70-90%\n- Coordination overhead: \u003C15%\n- Result synthesis time: \u003C5 minutes\n\n## Common Issues & Solutions\n\n### Issue: Task Dependencies Not Resolved\n**Symptoms:** Tasks blocked waiting for dependencies\n**Solution:** Verify dependency graph, check for circular dependencies\n\n### Issue: Agent Overload\n**Symptoms:** Some agents at 100% utilization, others idle\n**Solution:** Rebalance task assignments, spawn additional agents\n\n### Issue: Task Execution Stalled\n**Symptoms:** Tasks remain in-progress indefinitely\n**Solution:** Implement timeout mechanism, restart stuck agents\n\n### Issue: Result Synthesis Incomplete\n**Symptoms:** Missing results in final output\n**Solution:** Verify all tasks completed, check result collection logic\n\n## Best Practices\n\n1. **Clear Decomposition:** Break tasks into atomic units\n2. **Explicit Dependencies:** Document all task dependencies\n3. **Progress Tracking:** Monitor continuously\n4. **Error Handling:** Implement retry logic\n5. **Result Validation:** Verify outputs at each phase\n6. **Memory Coordination:** Use shared memory for state\n7. **Agent Specialization:** Assign tasks to appropriate agents\n8. **Performance Monitoring:** Track metrics throughout\n\n## Integration Points\n\n### With Other Skills\n- **advanced-swarm:** For topology optimization\n- **performance-analysis:** For bottleneck detection\n- **cascade-orchestrator:** For workflow chaining\n- **hive-mind:** For collective decision-making\n\n### With External Systems\n- CI\u002FCD pipelines for automated execution\n- Project management tools for tracking\n- Monitoring systems for observability\n- Storage systems for result archival\n\n## Next Steps\n\nAfter completing this skill:\n1. Analyze orchestration metrics\n2. Optimize task decomposition strategy\n3. Experiment with different topologies\n4. Implement custom synthesis logic\n5. Create reusable orchestration templates\n\n## References\n\n- Claude Flow Documentation\n- Task Decomposition Patterns\n- Multi-Agent Orchestration Theory\n- Distributed Systems Coordination\n","# Swarm Orchestration SOP\n\n## Overview\n\nThis skill implements complex multi-agent swarm orchestration with intelligent task decomposition, distributed execution, progress monitoring, and result synthesis. It enables coordinated execution of complex workflows across multiple specialized agents.\n\n## Agents & Responsibilities\n\n### task-orchestrator\n**Role:** Central orchestration and task decomposition\n**Responsibilities:**\n- Decompose complex tasks into subtasks\n- Assign tasks to appropriate agents\n- Monitor execution progress\n- Synthesize results from multiple agents\n\n### hierarchical-coordinator\n**Role:** Hierarchical task delegation and coordination\n**Responsibilities:**\n- Manage task hierarchy\n- Coordinate parent-child task relationships\n- Handle task dependencies\n- Ensure proper execution order\n\n### adaptive-coordinator\n**Role:** Dynamic workload balancing and optimization\n**Responsibilities:**\n- Monitor agent workloads\n- Rebalance task assignments\n- Optimize resource allocation\n- Adapt to changing conditions\n\n## Phase 1: Plan Orchestration\n\n### Objective\nAnalyze complex task requirements and create detailed decomposition plan with dependency mapping.\n\n### Evidence-Based Validation\n- [ ] Task decomposition tree created\n- [ ] Dependencies mapped\n- [ ] Agent assignments planned\n- [ ] Execution strategy defined\n\n### Scripts\n\n```bash\n# Analyze task complexity\nnpx claude-flow@alpha task analyze --task \"Build full-stack application\" --output task-analysis.json\n\n# Generate decomposition tree\nnpx claude-flow@alpha task decompose \\\n  --task \"Build full-stack application\" \\\n  --max-depth 3 \\\n  --output decomposition.json\n\n# Visualize decomposition\nnpx claude-flow@alpha task visualize --input decomposition.json --output task-tree.png\n\n# Store decomposition in memory\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fdecomposition\" \\\n  --file decomposition.json\n\n# Identify dependencies\nnpx claude-flow@alpha task dependencies \\\n  --input decomposition.json \\\n  --output dependencies.json\n\n# Plan agent assignments\nnpx claude-flow@alpha task plan \\\n  --decomposition decomposition.json \\\n  --available-agents 12 \\\n  --output execution-plan.json\n```\n\n### Task Decomposition Strategy\n\n**Level 1: High-Level Goals**\n```json\n{\n  \"task\": \"Build full-stack application\",\n  \"subtasks\": [\n    \"Design architecture\",\n    \"Implement backend\",\n    \"Implement frontend\",\n    \"Setup infrastructure\",\n    \"Testing and QA\"\n  ]\n}\n```\n\n**Level 2: Component Tasks**\n```json\n{\n  \"task\": \"Implement backend\",\n  \"subtasks\": [\n    \"Design API endpoints\",\n    \"Implement authentication\",\n    \"Setup database\",\n    \"Create business logic\",\n    \"API documentation\"\n  ]\n}\n```\n\n**Level 3: Atomic Tasks**\n```json\n{\n  \"task\": \"Implement authentication\",\n  \"subtasks\": [\n    \"Setup JWT library\",\n    \"Create user model\",\n    \"Implement login endpoint\",\n    \"Implement registration endpoint\",\n    \"Add password hashing\",\n    \"Create auth middleware\"\n  ]\n}\n```\n\n### Memory Patterns\n\n```bash\n# Store orchestration plan\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fplan\" \\\n  --value '{\n    \"totalTasks\": 45,\n    \"levels\": 3,\n    \"estimatedDuration\": \"2h 30m\",\n    \"requiredAgents\": 12\n  }'\n\n# Store dependency graph\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fdependencies\" \\\n  --value '{\n    \"task-003\": [\"task-001\", \"task-002\"],\n    \"task-008\": [\"task-003\", \"task-004\"],\n    \"task-012\": [\"task-008\", \"task-009\"]\n  }'\n```\n\n### Validation Criteria\n1. Task tree depth ≤ 3 levels\n2. All tasks have clear success criteria\n3. Dependencies correctly identified\n4. No circular dependencies\n5. Agent capacity sufficient for load\n\n## Phase 2: Initialize Swarm\n\n### Objective\nSetup swarm infrastructure with appropriate topology and coordinator agents.\n\n### Evidence-Based Validation\n- [ ] Swarm initialized successfully\n- [ ] Topology optimized for workload\n- [ ] Coordinator agents active\n- [ ] Memory coordination established\n\n### Scripts\n\n```bash\n# Determine optimal topology\nTASK_COUNT=$(jq '.totalTasks' decomposition.json)\n\nif [ \"$TASK_COUNT\" -gt 30 ]; then\n  TOPOLOGY=\"mesh\"\nelif [ \"$TASK_COUNT\" -gt 15 ]; then\n  TOPOLOGY=\"hierarchical\"\nelse\n  TOPOLOGY=\"star\"\nfi\n\n# Initialize swarm with optimal topology\nnpx claude-flow@alpha swarm init \\\n  --topology $TOPOLOGY \\\n  --max-agents 15 \\\n  --strategy adaptive\n\n# Spawn task orchestrator\nnpx claude-flow@alpha agent spawn \\\n  --type coordinator \\\n  --role \"task-orchestrator\" \\\n  --capabilities \"task-decomposition,assignment,synthesis\"\n\n# Spawn hierarchical coordinator\nnpx claude-flow@alpha agent spawn \\\n  --type coordinator \\\n  --role \"hierarchical-coordinator\" \\\n  --capabilities \"hierarchy-management,delegation\"\n\n# Spawn adaptive coordinator\nnpx claude-flow@alpha agent spawn \\\n  --type coordinator \\\n  --role \"adaptive-coordinator\" \\\n  --capabilities \"workload-balancing,optimization\"\n\n# Verify swarm status\nnpx claude-flow@alpha swarm status --show-agents --show-topology\n```\n\n### MCP Integration\n\n```javascript\n\u002F\u002F Initialize swarm\nmcp__claude-flow__swarm_init({\n  topology: \"hierarchical\",\n  maxAgents: 15,\n  strategy: \"adaptive\"\n})\n\n\u002F\u002F Spawn coordinators\nmcp__claude-flow__agent_spawn({\n  type: \"coordinator\",\n  name: \"task-orchestrator\",\n  capabilities: [\"task-decomposition\", \"assignment\", \"synthesis\"]\n})\n\nmcp__claude-flow__agent_spawn({\n  type: \"coordinator\",\n  name: \"hierarchical-coordinator\",\n  capabilities: [\"hierarchy-management\", \"delegation\"]\n})\n\nmcp__claude-flow__agent_spawn({\n  type: \"coordinator\",\n  name: \"adaptive-coordinator\",\n  capabilities: [\"workload-balancing\", \"optimization\"]\n})\n```\n\n### Memory Patterns\n\n```bash\n# Store swarm configuration\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fswarm\" \\\n  --value '{\n    \"swarmId\": \"swarm-12345\",\n    \"topology\": \"hierarchical\",\n    \"maxAgents\": 15,\n    \"coordinators\": [\"task-orchestrator\", \"hierarchical-coordinator\", \"adaptive-coordinator\"]\n  }'\n```\n\n### Validation Criteria\n1. Swarm operational\n2. All coordinators active\n3. Topology matches requirements\n4. Memory coordination functional\n5. Health checks passing\n\n## Phase 3: Orchestrate Execution\n\n### Objective\nCoordinate distributed task execution across swarm agents with proper dependency handling.\n\n### Evidence-Based Validation\n- [ ] All tasks assigned to agents\n- [ ] Dependencies respected\n- [ ] Execution in progress\n- [ ] Progress tracked continuously\n\n### Scripts\n\n```bash\n# Spawn specialized agents based on task requirements\nnpx claude-flow@alpha agent spawn --type researcher --count 2\nnpx claude-flow@alpha agent spawn --type coder --count 5\nnpx claude-flow@alpha agent spawn --type reviewer --count 2\nnpx claude-flow@alpha agent spawn --type tester --count 2\n\n# Orchestrate task execution\nnpx claude-flow@alpha task orchestrate \\\n  --plan execution-plan.json \\\n  --strategy adaptive \\\n  --max-agents 12 \\\n  --priority high\n\n# Alternative: Orchestrate with MCP\n# mcp__claude-flow__task_orchestrate({\n#   task: \"Execute full-stack application build\",\n#   strategy: \"adaptive\",\n#   maxAgents: 12,\n#   priority: \"high\"\n# })\n\n# Monitor orchestration status\nnpx claude-flow@alpha task status --detailed --json > task-status.json\n\n# Track individual task progress\nnpx claude-flow@alpha task list --filter \"in_progress\" --show-timing\n\n# Monitor agent workloads\nnpx claude-flow@alpha agent metrics --metric tasks --format table\n```\n\n### Task Assignment Algorithm\n\n```bash\n#!\u002Fbin\u002Fbash\n# assign-tasks.sh\n\n# Read decomposition\nTASKS=$(jq -r '.tasks[] | @json' decomposition.json)\n\nfor TASK in $TASKS; do\n  TASK_ID=$(echo $TASK | jq -r '.id')\n  TASK_TYPE=$(echo $TASK | jq -r '.type')\n  DEPENDENCIES=$(echo $TASK | jq -r '.dependencies[]')\n\n  # Check if dependencies completed\n  DEPS_COMPLETE=true\n  for DEP in $DEPENDENCIES; do\n    DEP_STATUS=$(npx claude-flow@alpha task status --task-id $DEP --format json | jq -r '.status')\n    if [ \"$DEP_STATUS\" != \"completed\" ]; then\n      DEPS_COMPLETE=false\n      break\n    fi\n  done\n\n  # Assign task if dependencies complete\n  if [ \"$DEPS_COMPLETE\" = true ]; then\n    # Find least loaded agent of required type\n    AGENT_ID=$(npx claude-flow@alpha agent list \\\n      --filter \"type=$TASK_TYPE\" \\\n      --sort-by load \\\n      --format json | jq -r '.[0].id')\n\n    # Assign task\n    npx claude-flow@alpha task assign \\\n      --task-id $TASK_ID \\\n      --agent-id $AGENT_ID\n\n    echo \"Assigned task $TASK_ID to agent $AGENT_ID\"\n  fi\ndone\n```\n\n### Memory Patterns\n\n```bash\n# Store task assignments\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fassignments\" \\\n  --value '{\n    \"task-001\": {\"agent\": \"agent-researcher-1\", \"status\": \"in_progress\", \"started\": \"2025-10-30T10:00:00Z\"},\n    \"task-002\": {\"agent\": \"agent-coder-1\", \"status\": \"in_progress\", \"started\": \"2025-10-30T10:01:00Z\"}\n  }'\n\n# Store execution timeline\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Ftimeline\" \\\n  --value '{\n    \"started\": \"2025-10-30T10:00:00Z\",\n    \"tasksCompleted\": 12,\n    \"tasksInProgress\": 8,\n    \"tasksPending\": 25\n  }'\n```\n\n### Validation Criteria\n1. All agents assigned tasks\n2. No dependency violations\n3. Task execution progressing\n4. No agent overload\n5. Error handling active\n\n## Phase 4: Monitor Progress\n\n### Objective\nTrack execution progress, identify blockers, and maintain real-time visibility.\n\n### Evidence-Based Validation\n- [ ] Progress metrics collected\n- [ ] Blockers identified quickly\n- [ ] Agents responding properly\n- [ ] Timeline on track\n\n### Scripts\n\n```bash\n# Start continuous monitoring\nnpx claude-flow@alpha swarm monitor \\\n  --interval 10 \\\n  --duration 3600 \\\n  --output orchestration-monitor.log &\n\n# Track task completion rate\nwhile true; do\n  COMPLETED=$(npx claude-flow@alpha task list --filter \"completed\" | wc -l)\n  TOTAL=$(npx claude-flow@alpha task list | wc -l)\n  PROGRESS=$((COMPLETED * 100 \u002F TOTAL))\n\n  echo \"Progress: $PROGRESS% ($COMPLETED\u002F$TOTAL tasks)\"\n\n  npx claude-flow@alpha memory store \\\n    --key \"orchestration\u002Fprogress\" \\\n    --value \"{\\\"completed\\\": $COMPLETED, \\\"total\\\": $TOTAL, \\\"percentage\\\": $PROGRESS}\"\n\n  sleep 30\ndone &\n\n# Monitor for blocked tasks\nnpx claude-flow@alpha task detect-blocked \\\n  --threshold 300 \\\n  --notify-on-block\n\n# Monitor agent health\nnpx claude-flow@alpha agent health-check --all --interval 60\n\n# Generate progress report\nnpx claude-flow@alpha orchestration report \\\n  --include-timeline \\\n  --include-agent-metrics \\\n  --output progress-report.md\n```\n\n### Progress Visualization\n\n```bash\n# Generate Gantt chart\nnpx claude-flow@alpha task gantt \\\n  --input task-status.json \\\n  --output gantt-chart.png\n\n# Generate network diagram\nnpx claude-flow@alpha task network \\\n  --show-dependencies \\\n  --show-progress \\\n  --output network-diagram.png\n```\n\n### Memory Patterns\n\n```bash\n# Store progress snapshots\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fsnapshot-$(date +%s)\" \\\n  --value '{\n    \"timestamp\": \"'$(date -Iseconds)'\",\n    \"completed\": 18,\n    \"inProgress\": 12,\n    \"pending\": 15,\n    \"blocked\": 0,\n    \"failed\": 0\n  }'\n\n# Store blocker information\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fblockers\" \\\n  --value '{\n    \"task-015\": {\"reason\": \"dependency-failed\", \"since\": \"2025-10-30T10:15:00Z\"},\n    \"task-022\": {\"reason\": \"agent-unresponsive\", \"since\": \"2025-10-30T10:20:00Z\"}\n  }'\n```\n\n### Validation Criteria\n1. Progress tracking accurate\n2. Blockers detected within 5 minutes\n3. No stalled tasks unnoticed\n4. Agent failures handled\n5. Progress reports generated\n\n## Phase 5: Synthesize Results\n\n### Objective\nAggregate and synthesize results from all completed tasks into coherent outputs.\n\n### Evidence-Based Validation\n- [ ] All task results collected\n- [ ] Results synthesized successfully\n- [ ] Output validated\n- [ ] Final report generated\n\n### Scripts\n\n```bash\n# Collect all task results\nnpx claude-flow@alpha task results --all --format json > all-results.json\n\n# Synthesize results by category\nnpx claude-flow@alpha task synthesize \\\n  --input all-results.json \\\n  --group-by category \\\n  --output synthesized-results.json\n\n# Generate final outputs\nnpx claude-flow@alpha orchestration finalize \\\n  --results synthesized-results.json \\\n  --output final-output\u002F\n\n# Validate outputs\nnpx claude-flow@alpha orchestration validate \\\n  --output final-output\u002F \\\n  --criteria validation-criteria.json\n\n# Generate final report\nnpx claude-flow@alpha orchestration report \\\n  --type final \\\n  --include-metrics \\\n  --include-timeline \\\n  --include-outputs \\\n  --output final-orchestration-report.md\n\n# Archive orchestration data\nnpx claude-flow@alpha orchestration archive \\\n  --output orchestration-archive-$(date +%Y%m%d-%H%M%S).tar.gz\n```\n\n### MCP Integration\n\n```javascript\n\u002F\u002F Get task results\nmcp__claude-flow__task_results({\n  taskId: \"all\",\n  format: \"detailed\"\n})\n\n\u002F\u002F Check final status\nmcp__claude-flow__task_status({\n  detailed: true\n})\n```\n\n### Result Synthesis Strategy\n\n**1. Collect Results:**\n```bash\n# Get results from each agent type\nRESEARCHER_RESULTS=$(npx claude-flow@alpha task results --agent-type researcher --format json)\nCODER_RESULTS=$(npx claude-flow@alpha task results --agent-type coder --format json)\nREVIEWER_RESULTS=$(npx claude-flow@alpha task results --agent-type reviewer --format json)\n```\n\n**2. Aggregate by Phase:**\n```bash\n# Architecture phase results\nARCHITECTURE=$(jq '[.[] | select(.phase==\"architecture\")]' all-results.json)\n\n# Implementation phase results\nIMPLEMENTATION=$(jq '[.[] | select(.phase==\"implementation\")]' all-results.json)\n\n# Testing phase results\nTESTING=$(jq '[.[] | select(.phase==\"testing\")]' all-results.json)\n```\n\n**3. Synthesize Final Output:**\n```bash\n# Combine all results\njq -s '{\n  architecture: .[0],\n  implementation: .[1],\n  testing: .[2],\n  metadata: {\n    totalTasks: (.[0] + .[1] + .[2] | length),\n    duration: \"'$(date -Iseconds)'\",\n    successRate: 0.98\n  }\n}' \\\n  \u003C(echo \"$ARCHITECTURE\") \\\n  \u003C(echo \"$IMPLEMENTATION\") \\\n  \u003C(echo \"$TESTING\") \\\n  > final-synthesis.json\n```\n\n### Memory Patterns\n\n```bash\n# Store final results\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fresults\u002Ffinal\" \\\n  --file final-synthesis.json\n\n# Store performance metrics\nnpx claude-flow@alpha memory store \\\n  --key \"orchestration\u002Fmetrics\u002Ffinal\" \\\n  --value '{\n    \"totalTasks\": 45,\n    \"completed\": 44,\n    \"failed\": 1,\n    \"duration\": \"2h 18m\",\n    \"avgTaskTime\": \"3m 5s\",\n    \"throughput\": \"0.32 tasks\u002Fmin\"\n  }'\n```\n\n### Validation Criteria\n1. All task results accounted for\n2. Synthesis logic correct\n3. Outputs validated successfully\n4. No data loss\n5. Final report comprehensive\n\n## Success Criteria\n\n### Overall Validation\n- [ ] Task decomposition accurate\n- [ ] Swarm orchestration successful\n- [ ] All tasks completed (≥95%)\n- [ ] Results synthesized correctly\n- [ ] Performance targets met\n\n### Performance Targets\n- Task success rate: ≥95%\n- Average task completion time: Within estimates ±20%\n- Agent utilization: 70-90%\n- Coordination overhead: \u003C15%\n- Result synthesis time: \u003C5 minutes\n\n## Common Issues & Solutions\n\n### Issue: Task Dependencies Not Resolved\n**Symptoms:** Tasks blocked waiting for dependencies\n**Solution:** Verify dependency graph, check for circular dependencies\n\n### Issue: Agent Overload\n**Symptoms:** Some agents at 100% utilization, others idle\n**Solution:** Rebalance task assignments, spawn additional agents\n\n### Issue: Task Execution Stalled\n**Symptoms:** Tasks remain in-progress indefinitely\n**Solution:** Implement timeout mechanism, restart stuck agents\n\n### Issue: Result Synthesis Incomplete\n**Symptoms:** Missing results in final output\n**Solution:** Verify all tasks completed, check result collection logic\n\n## Best Practices\n\n1. **Clear Decomposition:** Break tasks into atomic units\n2. **Explicit Dependencies:** Document all task dependencies\n3. **Progress Tracking:** Monitor continuously\n4. **Error Handling:** Implement retry logic\n5. **Result Validation:** Verify outputs at each phase\n6. **Memory Coordination:** Use shared memory for state\n7. **Agent Specialization:** Assign tasks to appropriate agents\n8. **Performance Monitoring:** Track metrics throughout\n\n## Integration Points\n\n### With Other Skills\n- **advanced-swarm:** For topology optimization\n- **performance-analysis:** For bottleneck detection\n- **cascade-orchestrator:** For workflow chaining\n- **hive-mind:** For collective decision-making\n\n### With External Systems\n- CI\u002FCD pipelines for automated execution\n- Project management tools for tracking\n- Monitoring systems for observability\n- Storage systems for result archival\n\n## Next Steps\n\nAfter completing this skill:\n1. Analyze orchestration metrics\n2. Optimize task decomposition strategy\n3. Experiment with different topologies\n4. Implement custom synthesis logic\n5. 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