What topologies does this skill support?

It supports Mesh (peer-to-peer), Hierarchical (queen-worker), and Adaptive topologies, the latter of which dynamically switches configurations based on task complexity.

Can agents share data between each other?

Yes, the skill provides shared memory coordination features that allow agents to store and retrieve state information from a unified swarm memory, ensuring context is maintained across the collective.

How does it handle agent failures?

The skill includes built-in resiliency features such as automatic retries with exponential backoff and task reassignment to ensure the swarm completes its objective even if individual agents fail.

What is Swarm Orchestration in Claude Code?

It is a specialized skill that allows Claude to manage multiple autonomous agents concurrently, using specific topologies like mesh or hierarchical to solve complex programming and automation tasks.

Swarm Orchestration for Multi-Agent Systems

Name: Swarm Orchestration for Multi-Agent Systems
Author: ricable

byricable

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Data Science & ML

Orchestrates multi-agent swarms using advanced coordination patterns and dynamic topologies for complex, parallel task execution.

This skill enables Claude to manage and coordinate groups of autonomous agents through the agentic-flow framework, providing a robust infrastructure for building distributed AI systems. It supports various topology patterns—including Mesh, Hierarchical, and Adaptive—allowing for intelligent task distribution, shared memory coordination, and automated fault tolerance. This is an essential capability for developers scaling beyond single-agent architectures to handle complex, multi-stage workflows that require specialized agent roles and high-concurrency execution.

Key Features

01Automated load balancing and fault tolerance with exponential backoff retries

02Real-time performance monitoring of throughput, latency, and agent utilization

032 GitHub stars

04Parallel and pipeline task execution modes for optimized workflow management

05Dynamic topology support including Mesh, Hierarchical, and Adaptive configurations

06Shared swarm memory for seamless state coordination across multiple agents

Use Cases

01Building production-grade software by coordinating specialized architect, developer, and tester agents

02Implementing resilient, self-healing distributed systems with adaptive task orchestration

03Scaling AI workflows to handle large-scale data processing through parallel agent execution

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