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Swarm Orchestration

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

Updated Mar 4, 2026
Search Tags:#orchestration#swarm#distributed-systems#topology#fault-tolerance#task-distribution#agent-based
One-click install
npx skills add https://github.com/script-repo/002-NXClaw --skill swarm-orchestration-script-repo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Swarm Orchestration
Source: https://github.com/script-repo/002-NXClaw/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/script-repo/002-NXClaw --skill swarm-orchestration-script-repo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates multi-agent swarms using agentic-flow to coordinate tasks across distributed agents, enabling scalable, fault-tolerant workflows.

Core Features & Use Cases

  • Supports mesh, hierarchical, and adaptive topologies with automatic task distribution, load balancing, and fault tolerance.
  • Facilitates parallel task execution and dynamic topology changes across agents.
  • Use cases include building distributed AI systems, scalable code research pipelines, and multi-agent coordination for complex workflows.

Quick Start

Initialize a swarm orchestration workflow with mesh topology and up to five agents.

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 to execute tasks in parallel?▼

Multi-agent swarm coordination uses dynamic topologies like mesh, hierarchical, and adaptive structures to distribute tasks across agents, enabling scalable and fault-tolerant parallel execution for complex distributed AI workflows.

What is the best way to scale distributed AI workflows beyond a single agent?▼

Scaling distributed AI workflows beyond a single agent requires applying swarm orchestration with automatic task distribution and load balancing, allowing you to coordinate up to five or more agents using mesh or hierarchical topologies.

Do I need Node.js 18 to run multi-agent coordination workflows?▼

Yes, multi-agent coordination workflows require Node.js 18+ and agentic-flow v3.0.0-alpha.1+ because the orchestration depends on these environments to manage dynamic topology changes and fault tolerance across distributed agents.

Can I change topology dynamically during distributed task execution?▼

Yes, swarm orchestration supports dynamic topology changes during distributed task execution, allowing you to adapt mesh, hierarchical, or adaptive topologies on the fly to maintain load balancing and fault tolerance across agents.

When should I not use multi-agent swarm orchestration for task distribution?▼

You should avoid multi-agent swarm orchestration if your task scales within a single agent or if your environment lacks Node.js 18+ and agentic-flow v3.0.0-alpha.1+, as it is designed strictly for complex distributed systems requiring parallel execution.

How does fault tolerance work in distributed agent swarms?▼

Fault tolerance in distributed agent swarms works by applying automatic task distribution and load balancing across adaptive topologies, ensuring that parallel execution continues even if individual agents fail during the workflow.

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