How many agents can I run simultaneously?

The skill supports configurable agent limits, typically defaulting to around 6-8 specialized agents depending on the chosen topology and task complexity.

What kind of research tasks can it handle?

It can manage multi-phase research including information gathering, academic paper analysis, data validation, and automated report generation.

What is a swarm topology in this context?

A swarm topology defines how agents communicate; for example, Mesh allows peer-to-peer collaboration for research, while Hierarchical uses a coordinator for structured development.

Can I use this for automated code reviews?

Yes, the Development Swarm pattern includes specific roles and workflows for security reviews, performance checks, and best-practice validation.

Does this skill require external dependencies?

Yes, it is designed to work with the claude-flow package and benefits from an MCP server setup for full tool integration.

Advanced Swarm Orchestration

Name: Advanced Swarm Orchestration
Author: zellycloud

byzellycloud

생산성 및 워크플로

Orchestrates multi-agent swarms for complex research, full-stack development, and distributed testing workflows.

소개

Advanced Swarm Orchestration provides a robust framework for managing specialized agent topologies—such as Mesh, Hierarchical, Star, and Ring—to handle sophisticated multi-step tasks. It enables users to deploy coordinated teams of specialized AI agents that can tackle everything from deep academic research and pattern recognition to parallel software implementation and exhaustive quality assurance. By utilizing structured coordination patterns and Model Context Protocol (MCP) tools, this skill maximizes efficiency for distributed workflows and high-complexity project management within Claude Code.

주요 기능

Flexible swarm topologies including Mesh, Hierarchical, Star, and Ring structures
Built-in quality assessment and pattern recognition for automated validation
Specialized agent spawning for roles like Architects, Researchers, and Testers
Parallel task execution with centralized or distributed orchestration strategies
Advanced memory management for long-term knowledge retention and synthesis
0 GitHub stars

사용 사례

Executing comprehensive, distributed test suites including Unit, E2E, and Performance testing
Managing full-stack development teams for simultaneous backend, frontend, and database implementation
Conducting deep-dive research via parallel information gathering and cross-referenced synthesis

소개

주요 기능

Flexible swarm topologies including Mesh, Hierarchical, Star, and Ring structures
Built-in quality assessment and pattern recognition for automated validation
Specialized agent spawning for roles like Architects, Researchers, and Testers
Parallel task execution with centralized or distributed orchestration strategies
Advanced memory management for long-term knowledge retention and synthesis
0 GitHub stars

사용 사례

Executing comprehensive, distributed test suites including Unit, E2E, and Performance testing
Managing full-stack development teams for simultaneous backend, frontend, and database implementation
Conducting deep-dive research via parallel information gathering and cross-referenced synthesis