Swarm Orchestration

Parallel task execution across distributed agents requires a coordination framework that manages task assignment, load balancing, and fault tolerance. This Skill provides standardized orchestration supporting mesh, hierarchical, and adaptive topologies to efficiently distribute work across coding, testing, review, and other specialized agent types while maintaining synchronization.

Agent orchestration supports three topology patterns: mesh for peer-to-peer coordination, hierarchical for centralized control with delegated execution, and adaptive layouts that adjust routing and workload distribution dynamically. Choose based on your workflow structure, fault-tolerance requirements, and scalability needs.

Yes. This Skill requires Node.js 18+ and agentic-flow v1.5.11 or later. It integrates directly with agentic-flow's agent-spawn and task-orchestrate commands to initialize swarms, define agent roles, and execute coordinated tasks across your distributed workflow.

Multi-agent swarms built with this Skill include built-in fault tolerance mechanisms that detect agent failures, rebalance workloads, and retry failed tasks across healthy agents. The framework maintains swarm coherence even when individual agents become unavailable.

Assign different tasks—such as coding, testing, and review—to specialized agents running in parallel rather than sequentially. Distributed orchestration coordinates these agents across your chosen topology, distributing load and synchronizing results to compress total execution time while improving throughput.

A foundational understanding of distributed systems concepts is recommended but not a barrier. This Skill abstracts topology management and inter-agent communication, though familiarity with parallelism, eventual consistency, and fault recovery will help you design and troubleshoot swarms effectively.