What is Swarm Orchestration in Claude Code?

It is a specialized skill that enables Claude to manage multiple AI agents simultaneously, distributing tasks across different organizational structures for efficient project completion.

How does it handle agent failures during a task?

It features built-in fault tolerance with configurable retry attempts, exponential backoff strategies, and automatic task reassignment to healthy agents.

Can agents share data between each other?

Yes, it includes a memory coordination system that allows agents to store and retrieve shared state, ensuring all agents in the swarm maintain context.

Which agent topologies are supported?

The skill supports Mesh (peer-to-peer), Hierarchical (queen-worker), and Adaptive topologies which automatically switch based on task complexity.

What are the prerequisites for using this skill?

You need agentic-flow v1.5.11 or higher and Node.js 18+ installed in your development environment.

Swarm Orchestration

Name: Swarm Orchestration
Author: ricable

byricable

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Data Science & ML

Orchestrates multi-agent swarms for parallel task execution and intelligent coordination using advanced topologies.

Swarm Orchestration is a powerful capability for Claude Code that enables the coordination of multiple AI agents through the agentic-flow framework. It allows developers to scale beyond single-agent limitations by implementing complex workflows via mesh, hierarchical, or adaptive topologies. With built-in support for automatic task distribution, shared memory coordination, and fault tolerance, this skill is essential for building resilient, distributed AI systems that require parallel processing and high-level architectural oversight within a unified development environment.

Key Features

014 GitHub stars

02Parallel and Pipeline Task Execution Modes

03Dynamic Topology Management (Mesh, Hierarchical, and Adaptive)

04Shared Memory Coordination for Inter-Agent State

05Automatic Load Balancing and Fault Tolerance

06Real-time Performance Monitoring and Metrics

Use Cases

01Implementing automated CI/CD pipelines with specialized testing and review agents

02Building full-stack applications with concurrent frontend, backend, and database development

03Creating distributed AI systems for complex data processing and architecture design

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent swarm-orchestration

For use in Claude.ai and ChatGPT

Download Skill