How does the skill handle complex tasks?

The skill performs task analysis to break down objectives into sub-tasks, selects the optimal topology, and orchestrates collaboration using parallel or sequential strategies.

Does it support automatic scaling?

Yes, the skill includes tools to monitor swarm performance and dynamically scale the number of agents based on workload and performance metrics.

What is an AI agent swarm?

An AI agent swarm is a coordinated group of specialized AI agents working together to solve complex tasks that are too large or multi-faceted for a single agent to handle efficiently.

What topologies does this skill support?

It supports Hierarchical (queen-led), Mesh (peer-to-peer), Ring (sequential processing), and Star (centralized coordination) swarm structures.

Can I customize the types of agents deployed?

Yes, you can spawn specialized agents such as researchers, coders, analysts, optimizers, and coordinators based on the specific requirements of your project.

AI Agent Swarm Orchestrator

Name: AI Agent Swarm Orchestrator
Author: nbossn

bynbossn

0•

데이터 과학 및 ML

Orchestrates and scales multi-agent AI swarms in cloud environments for complex problem-solving and task execution.

The Agent Swarm skill transforms Claude into a master orchestrator capable of deploying and managing specialized AI agent networks within the Flow Nexus platform. It allows users to initialize various swarm topologies—such as hierarchical, mesh, or ring networks—to tackle complex development, research, and analysis tasks through collaborative intelligence. By dynamically scaling agents and managing their lifecycle, this skill ensures efficient resource allocation and robust execution of multi-step workflows that exceed the capacity of a single AI model.

주요 기능

01Intelligent task decomposition and parallel orchestration across multiple agents

020 GitHub stars

03Automated lifecycle management from swarm initialization to termination

04Dynamic swarm scaling and real-time performance monitoring

05Specialized agent spawning for specific roles like Research, Coding, Analysis, and Optimization

06Multi-topology swarm initialization including Hierarchical, Mesh, Ring, and Star structures

사용 사례

01Optimizing large-scale codebases through distributed analysis and parallel refactoring swarms

02Conducting deep market research by coordinating multiple researcher and analyst agents simultaneously

03Building complex REST APIs by delegating backend, authentication, and testing to specialized agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

주요 기능

01Intelligent task decomposition and parallel orchestration across multiple agents

020 GitHub stars

03Automated lifecycle management from swarm initialization to termination

04Dynamic swarm scaling and real-time performance monitoring

05Specialized agent spawning for specific roles like Research, Coding, Analysis, and Optimization

06Multi-topology swarm initialization including Hierarchical, Mesh, Ring, and Star structures

사용 사례

01Optimizing large-scale codebases through distributed analysis and parallel refactoring swarms

02Conducting deep market research by coordinating multiple researcher and analyst agents simultaneously

03Building complex REST APIs by delegating backend, authentication, and testing to specialized agents