Do I need external tools to run these swarms?

This skill is designed to work with the Claude Flow MCP server and CLI, which provide the underlying infrastructure for agent spawning and task execution.

What is a swarm topology in this context?

A swarm topology defines the communication structure between agents, such as Peer-to-Peer (Mesh) for brainstorming or Coordinator-based (Star/Hierarchical) for structured development.

How does the 'Adaptive' strategy work?

The Adaptive strategy dynamically adjusts agent resource allocation and task distribution based on the complexity and priority of the incoming workload.

Can I use this skill for real-world software development?

Yes, the Development Swarm pattern is specifically designed to coordinate architects, backend/frontend coders, and testers for production-grade implementation.

Advanced Swarm Orchestration

Name: Advanced Swarm Orchestration
Author: while-basic

bywhile-basic

生产力与工作流

Orchestrates complex multi-agent workflows using advanced topologies and specialized strategies for research and development.

关于

The Advanced Swarm Orchestration skill empowers Claude to manage high-level distributed workflows by coordinating multiple specialized agents. By utilizing various network topologies—including Mesh, Hierarchical, Star, and Ring—it allows for sophisticated task execution across research, full-stack development, and automated testing. Whether you are conducting deep data analysis through parallel information gathering or building complex software systems with a structured team of agents, this skill provides the patterns and MCP tools necessary to handle large-scale, multi-stage projects with professional-grade coordination.

主要功能

Supports multiple swarm topologies (Mesh, Hierarchical, Star, Ring) for diverse project structures
Implements specialized agent roles including researchers, architects, testers, and analysts
Includes built-in patterns for deep research synthesis and automated knowledge management
0 GitHub stars
Provides parallel and sequential task orchestration strategies via integrated MCP tools
Offers robust monitoring and status tracking for distributed agent clusters

使用场景

Managing a full-stack development swarm to design architecture, write code, and conduct peer reviews simultaneously
Coordinating a parallel research team to analyze emerging trends and generate comprehensive synthesis reports
Executing comprehensive quality assurance suites using a centralized testing coordinator and distributed specialized testers

关于

主要功能

Supports multiple swarm topologies (Mesh, Hierarchical, Star, Ring) for diverse project structures
Implements specialized agent roles including researchers, architects, testers, and analysts
Includes built-in patterns for deep research synthesis and automated knowledge management
0 GitHub stars
Provides parallel and sequential task orchestration strategies via integrated MCP tools
Offers robust monitoring and status tracking for distributed agent clusters

使用场景

Managing a full-stack development swarm to design architecture, write code, and conduct peer reviews simultaneously
Coordinating a parallel research team to analyze emerging trends and generate comprehensive synthesis reports
Executing comprehensive quality assurance suites using a centralized testing coordinator and distributed specialized testers