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.

Is the system resilient to agent failures?

Yes, it includes built-in fault tolerance with configurable retry strategies and automatic task reassignment to ensure workflow continuity.

How do agents share information within the swarm?

Agents utilize a unified Swarm Memory system to store and retrieve shared state, ensuring all agents have access to the necessary context and data models.

What is Swarm Orchestration?

It is a specialized skill for Claude that allows for the coordination of multiple AI agents to work together on complex tasks using various organizational patterns called topologies.

Can it handle parallel task execution?

Absolutely. It supports both parallel mode for concurrent task processing and pipeline mode for sequential tasks with specific dependencies.

Swarm Orchestration

Name: Swarm Orchestration
Author: ellisapotheosis

byellisapotheosis

0•

Data Science & ML

Orchestrates multi-agent AI systems for parallel task execution and intelligent workflow coordination using dynamic topologies.

Swarm Orchestration empowers Claude to manage complex, distributed AI workflows by coordinating multiple specialized agents within a unified system. Built on agentic-flow, it supports mesh, hierarchical, and adaptive topologies, allowing for automatic task distribution, shared memory across agents, and robust fault tolerance. This skill is ideal for large-scale software engineering tasks, complex data processing pipelines, and building autonomous multi-agent systems that require dynamic scaling and high-level coordination beyond the capabilities of a single model.

Key Features

01Parallel and Pipeline Task Execution for optimized concurrency

02Comprehensive Performance Monitoring for tracking throughput and latency

03Automatic Load Balancing and Fault Tolerance with task reassignment

04Dynamic Topology Support including Mesh, Hierarchical, and Adaptive patterns

05Shared Swarm Memory for seamless cross-agent state management

060 GitHub stars

Use Cases

01Building full-stack applications using specialized coder, tester, and reviewer agents

02Scaling AI development workflows through distributed task management and adaptive orchestration

03Executing multi-stage data processing pipelines with sequential dependencies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ellisapotheosis/project-nyra swarm-orchestration

For use in Claude.ai and ChatGPT

Download Skill