Are there templates for common development tasks?

Yes, it includes pre-built templates for full-stack development, research teams, automated code reviews, data pipelines, and security audits.

Can I run long-running tasks without blocking my terminal?

Yes, Flow Nexus supports asynchronous execution modes using cloud-based message queues, allowing workflows to run in the background.

What swarm topologies does Flow Nexus support?

Flow Nexus supports Hierarchical (best for complex projects), Mesh (for research), Ring (for sequential tasks), and Star (for simple delegation) architectures.

What are the prerequisites for using this skill?

You must have the flow-nexus MCP server installed and an active account registered at flow-nexus.ruv.io.

How does the intelligent agent assignment work?

The skill uses vector similarity matching to analyze task requirements and match them with the most capable agent based on their specific expertise, past performance, and availability.

Flow Nexus Swarm Orchestrator

Name: Flow Nexus Swarm Orchestrator
Author: ellisapotheosis

byellisapotheosis

Cloud Infrastructure

Orchestrates cloud-based AI agent swarms and event-driven workflows for complex automated task execution.

About

Flow Nexus Swarm is a powerful orchestration tool that enables developers to deploy and manage sophisticated AI agent swarms using various topologies like hierarchical, mesh, and star. It leverages the Flow Nexus platform to provide event-driven workflow automation, message queue processing, and intelligent agent assignment through vector similarity matching. Whether you are building a full-stack development pipeline, conducting deep collaborative research, or managing complex ETL processes, this skill provides the infrastructure to coordinate multiple specialized AI agents with auto-scaling cloud resources and real-time monitoring.

Key Features

Intelligent agent assignment using AI-powered vector similarity matching
0 GitHub stars
Event-driven workflow automation with integrated message queue processing
Multi-topology swarm support including Hierarchical, Mesh, Ring, and Star architectures
Cloud-based execution with automated scaling and real-time monitoring metrics
Extensive library of pre-built templates for CI/CD, research, and development

Use Cases

Coordinating collaborative research swarms to analyze market trends and generate data insights
Automating multi-step CI/CD pipelines with specialized testing and deployment agents
Managing complex ETL and data processing workflows across a distributed agent network

About

Key Features

Intelligent agent assignment using AI-powered vector similarity matching
0 GitHub stars
Event-driven workflow automation with integrated message queue processing
Multi-topology swarm support including Hierarchical, Mesh, Ring, and Star architectures
Cloud-based execution with automated scaling and real-time monitoring metrics
Extensive library of pre-built templates for CI/CD, research, and development

Use Cases

Coordinating collaborative research swarms to analyze market trends and generate data insights
Automating multi-step CI/CD pipelines with specialized testing and deployment agents
Managing complex ETL and data processing workflows across a distributed agent network