Swarm Orchestration

Orchestrate multi-agent swarms for parallel task execution with dynamic topologies.

Updated Feb 4, 2026
One-click install
npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill swarm-orchestration-marcus-mok-gh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Swarm Orchestration
Source: https://github.com/Marcus-Mok-GH/Chess.com-app/tree/main/.migration-backup/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill swarm-orchestration-marcus-mok-gh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Swarm Orchestration solves the challenge of managing and coordinating large groups of autonomous agents, essential for scaling beyond single agents and implementing complex workflows in distributed AI systems.

Core Features & Use Cases

  • Multi-Agent Coordination: Orchestrates parallel task execution with dynamic topologies and intelligent coordination.
  • Topologies: Supports mesh, hierarchical, and adaptive topologies with automatic task distribution.
  • Use Case: Ideal for scenarios where complex workflows need to be scaled up, such as in robotics or distributed computing.

Quick Start

Initialize your swarm and start orchestrating tasks with the following command: npx agentic-flow hooks swarm-init --topology mesh --max-agents 5

Frequently Asked Questions about Swarm Orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent swarms for parallel task execution?

Multi-agent swarm coordination is handled through dynamic topologies like mesh and hierarchical structures, enabling automatic task distribution across autonomous agents for scalable parallel execution.

Do I need agentic-flow to manage multi-agent systems?

Yes, agentic-flow is a required dependency for multi-agent system management, providing the underlying coordination and agent management capabilities needed for swarm orchestration.

What distributed topologies can I use for scaling complex AI workflows?

Distributed topologies supported for scaling complex AI workflows include mesh, hierarchical, and adaptive structures, each offering automatic task distribution across the agent network.

How do I initialize an agent swarm for distributed computing tasks?

Initialize an agent swarm for distributed computing tasks using the command `npx agentic-flow hooks swarm-init --topology mesh --max-agents 5` to set up the orchestration environment.

When should I use swarm orchestration instead of a single agent for distributed systems?

Swarm orchestration is needed when scaling beyond a single agent to manage complex workflows in distributed AI systems, particularly in scenarios like robotics or distributed computing requiring autonomous coordination.