when-orchestrating-swarm-use-swarm-orchestration

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Complex multi-agent swarm orchestration with task decomposition, distributed execution, and result synthesis

AI & Automation 335 stars 29 forks Updated today

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Skill Content

# Swarm Orchestration SOP ## Overview This 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. ## Agents & Responsibilities ### task-orchestrator **Role:** Central orchestration and task decomposition **Responsibilities:** - Decompose complex tasks into subtasks - Assign tasks to appropriate agents - Monitor execution progress - Synthesize results from multiple agents ### hierarchical-coordinator **Role:** Hierarchical task delegation and coordination **Responsibilities:** - Manage task hierarchy - Coordinate parent-child task relationships - Handle task dependencies - Ensure proper execution order ### adaptive-coordinator **Role:** Dynamic workload balancing and optimization **Responsibilities:** - Monitor agent workloads - Rebalance task assignments - Optimize resource allocation - Adapt to changing conditions ## Phase 1: Plan Orchestration ### Objective Analyze complex task requirements and create detailed decomposition plan with dependency mapping. ### Evidence-Based Validation - [ ] Task decomposition tree created - [ ] Dependencies mapped - [ ] Agent assignments planned - [ ] Execution strategy defined ### Scripts ```bash # Analyze task complexity npx claude-flow@alpha task analyze --task "Build full-stack application" --output task-analysis.json # Generate decomp...

Details

Author
aiskillstore
Repository
aiskillstore/marketplace
Created
5 months ago
Last Updated
today
Language
Python
License
None

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