Can I use this for automated testing?

Yes, the Testing Swarm pattern is designed for distributed quality assurance, enabling parallel execution of unit, integration, and E2E tests.

What is the benefit of the Mesh topology?

The Mesh topology allows all agents to communicate directly with one another, making it ideal for flexible research and collaborative brainstorming tasks.

How do specialized agents work in a swarm?

Agents are spawned with specific types—like researcher, coder, or tester—and assigned distinct capabilities and roles within the chosen topology.

What swarm topologies are supported by this skill?

It supports Mesh (peer-to-peer), Hierarchical (command structure), Star (centralized coordinator), and Ring (sequential pipeline) topologies.

Advanced Swarm Orchestration

Name: Advanced Swarm Orchestration
Author: ellisapotheosis

byellisapotheosis

生产力与工作流

Orchestrates multi-agent teams using specialized swarm patterns for distributed research, development, and complex testing workflows.

关于

This skill empowers Claude to manage high-level orchestration through sophisticated swarm topologies including mesh, hierarchical, star, and ring patterns. By leveraging the Claude Flow plugin, it enables the spawning of specialized agents—such as researchers, analysts, and developers—to work in parallel or sequence. It is specifically designed for complex projects requiring distributed knowledge gathering, full-stack implementation, and coordinated quality assurance across multiple AI instances.

主要功能

0 GitHub stars
Comprehensive CLI and MCP support for automated multi-agent coordination
Multiple topology support including Mesh, Hierarchical, Star, and Ring
Advanced orchestration strategies: Parallel, Adaptive, Balanced, and Specialized
Dynamic agent spawning with role-specific capabilities and memory namespaces
Integrated knowledge management with memory storage and pattern recognition

使用场景

Executing deep research through parallel information gathering and cross-referenced validation
Running distributed QA suites using a star topology for simultaneous unit and integration testing
Managing full-stack development cycles with coordinated architect, coder, and reviewer roles

关于

主要功能

0 GitHub stars
Comprehensive CLI and MCP support for automated multi-agent coordination
Multiple topology support including Mesh, Hierarchical, Star, and Ring
Advanced orchestration strategies: Parallel, Adaptive, Balanced, and Specialized
Dynamic agent spawning with role-specific capabilities and memory namespaces
Integrated knowledge management with memory storage and pattern recognition

使用场景

Executing deep research through parallel information gathering and cross-referenced validation
Running distributed QA suites using a star topology for simultaneous unit and integration testing
Managing full-stack development cycles with coordinated architect, coder, and reviewer roles