What are swarm topologies in this skill?

Topologies define how agents communicate; Mesh is peer-to-peer for research, Hierarchical uses a coordinator for development, and Star is best for centralized testing control.

What is the benefit of the 'Adaptive' agent strategy?

The adaptive strategy allows the swarm to dynamically adjust agent behavior and resource allocation based on the real-time complexity of the task.

Can I run research and development tasks simultaneously?

Yes, the skill supports parallel execution strategies, allowing different agent swarms or sub-groups to handle multiple aspects of a project at once.

How does the skill handle knowledge across agents?

It uses specialized MCP tools for memory usage and search, allowing agents to store findings in a shared namespace and build interconnected knowledge graphs.

Does this skill require additional software?

Yes, it is designed to work with Claude Flow. You will need to install the claude-flow package and add its MCP server to your Claude configuration.

Advanced Swarm Orchestration

Name: Advanced Swarm Orchestration
Author: nbossn

bynbossn

0•

Collaboration Tools

Orchestrates multi-agent AI swarms using advanced topologies to execute complex research, development, and testing workflows.

This skill empowers Claude to manage sophisticated agent swarms, moving beyond simple task execution to coordinated, distributed workflows. By implementing diverse topologies like mesh, hierarchical, and star architectures, it allows for specialized agents to collaborate on high-level goals. Whether you are conducting deep market research, building a full-stack application through parallel development, or running a comprehensive distributed testing suite, this skill provides the governance, memory management, and orchestration patterns necessary for robust multi-agent systems via Claude Flow.

Key Features

01Support for Mesh, Hierarchical, Star, and Ring swarm topologies

02Integrated knowledge management with persistent memory and knowledge graphs

03Advanced task orchestration with parallel and sequential execution strategies

04Specialized agent spawning for roles like researchers, architects, and QA engineers

05Automated quality assessment and pattern recognition across swarm outputs

060 GitHub stars

Use Cases

01Comprehensive distributed testing including performance, security, and E2E validation

02Coordinated full-stack development using specialized architect and coder agents

03Deep-dive research via parallel information gathering, analysis, and synthesis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base swarm-advanced

For use in Claude.ai and ChatGPT

Key Features

01Support for Mesh, Hierarchical, Star, and Ring swarm topologies

02Integrated knowledge management with persistent memory and knowledge graphs

03Advanced task orchestration with parallel and sequential execution strategies

04Specialized agent spawning for roles like researchers, architects, and QA engineers

05Automated quality assessment and pattern recognition across swarm outputs

060 GitHub stars

Use Cases

01Comprehensive distributed testing including performance, security, and E2E validation

02Coordinated full-stack development using specialized architect and coder agents

03Deep-dive research via parallel information gathering, analysis, and synthesis