How does the skill manage agent failures?

It includes built-in resiliency features such as exponential backoff retries and automated task reassignment to ensure the swarm remains fault-tolerant.

What 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 technical requirements?

To use this skill, you need agentic-flow version 1.5.11 or higher and Node.js 18 or later.

What is Swarm Orchestration for Claude Code?

It is a specialized skill that allows Claude to coordinate multiple AI agents to work together on complex tasks using various topology patterns and the agentic-flow framework.

Can agents share state or data?

Yes, the skill provides a shared memory coordination layer that allows all agents in a swarm to store and retrieve shared state information.

Swarm Orchestration

Name: Swarm Orchestration
Author: ricable

byricable

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データサイエンスとML

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

This skill enables Claude to manage complex, distributed AI systems by coordinating multiple specialized agents within a swarm. Utilizing the agentic-flow framework, it supports various architectural patterns like mesh, hierarchical, and adaptive topologies to ensure efficient task distribution, load balancing, and fault tolerance. It is essential for developers building large-scale applications where a single agent is insufficient, providing a robust system for collaborative workflows, shared memory synchronization, and real-time performance monitoring.

主な機能

01Dynamic load balancing and automated fault tolerance with task reassignment

02Integrated performance monitoring metrics and session restoration

03Parallel and pipeline execution modes for optimized task processing

04Multi-agent coordination with mesh, hierarchical, and adaptive topologies

056 GitHub stars

06Shared memory coordination for synchronized state across the agent swarm

ユースケース

01Developing production-grade software with specialized agents for design, coding, and testing

02Implementing autonomous agent systems that dynamically adapt their structure to task complexity

03Scaling complex AI workflows that require distributed processing and intelligent load balancing

主な機能

01Dynamic load balancing and automated fault tolerance with task reassignment

02Integrated performance monitoring metrics and session restoration

03Parallel and pipeline execution modes for optimized task processing

04Multi-agent coordination with mesh, hierarchical, and adaptive topologies

056 GitHub stars

06Shared memory coordination for synchronized state across the agent swarm

ユースケース

01Developing production-grade software with specialized agents for design, coding, and testing

02Implementing autonomous agent systems that dynamically adapt their structure to task complexity

03Scaling complex AI workflows that require distributed processing and intelligent load balancing