Does this skill require an external account?

Yes, it requires an active Flow Nexus account and the flow-nexus MCP server to manage cloud-based execution and message queues.

What is Flow Nexus Swarm?

Flow Nexus Swarm is a cloud-based orchestration system that allows multiple AI agents to work together using specific topologies to solve complex, multi-step tasks.

Can I run long-running tasks without blocking Claude?

Yes, the skill supports asynchronous execution through message queues, allowing you to trigger complex workflows that run in the background.

What architectures does the swarm support?

It supports Hierarchical (tree-based), Mesh (peer-to-peer), Ring (sequential), and Star (centralized hub) topologies to match various project structures.

How are agents assigned to tasks?

The platform uses AI-powered vector similarity matching to analyze task requirements and assign the agent with the best-matching capabilities and performance history.

Flow Nexus Swarm & Workflow Orchestration

Name: Flow Nexus Swarm & Workflow Orchestration
Author: zellycloud

byzellycloud

배포 및 DevOps

Orchestrates cloud-based AI agent swarms and event-driven workflows for complex automation and multi-agent coordination.

소개

Flow Nexus Swarm enables developers to deploy and manage sophisticated AI agent architectures using various topologies like hierarchical, mesh, and star patterns. It integrates seamlessly with a cloud-based execution environment to handle long-running, asynchronous workflows through a robust message queue system. This skill is ideal for complex multi-agent coordination, automated CI/CD pipelines, and large-scale research tasks, providing intelligent agent assignment based on vector similarity and real-time monitoring of swarm performance and audit trails.

주요 기능

Multi-topology support including Hierarchical, Mesh, Ring, and Star architectures
Event-driven workflow automation with async message queue processing
Intelligent agent assignment using vector similarity matching for optimal task allocation
Cloud-based infrastructure with auto-scaling and real-time performance monitoring
Extensive library of pre-built templates for Full-Stack, DevOps, and Research use cases
0 GitHub stars

사용 사례

Automating complex CI/CD pipelines with specialized testing, security, and deployment agents
Coordinating multi-agent research and data analysis swarms for market insights
Orchestrating full-stack development cycles from database design to frontend implementation

소개

주요 기능

Multi-topology support including Hierarchical, Mesh, Ring, and Star architectures
Event-driven workflow automation with async message queue processing
Intelligent agent assignment using vector similarity matching for optimal task allocation
Cloud-based infrastructure with auto-scaling and real-time performance monitoring
Extensive library of pre-built templates for Full-Stack, DevOps, and Research use cases
0 GitHub stars

사용 사례

Automating complex CI/CD pipelines with specialized testing, security, and deployment agents
Coordinating multi-agent research and data analysis swarms for market insights
Orchestrating full-stack development cycles from database design to frontend implementation