Does this skill require external setup?

Yes, it requires an active Flow Nexus account registered at flow-nexus.ruv.io and the installation of the flow-nexus MCP server.

What is a swarm topology in Flow Nexus?

Topology defines how agents communicate; options include Hierarchical (tree-based), Mesh (peer-to-peer), Ring (sequential), and Star (centralized hub) architectures.

How are agents selected for specific tasks?

Flow Nexus uses vector similarity matching to analyze task requirements against the specific capabilities and past performance history of available agents.

Can I run long-running tasks without blocking Claude?

Yes, the skill supports asynchronous execution using a cloud-based message queue, allowing Claude to monitor progress without waiting for completion.

What specialized agent types are available?

You can spawn several specialized roles including Researchers, Coders, Analysts, Optimizers, and Coordinators to handle different aspects of a project.

Flow Nexus Swarm Orchestrator

Name: Flow Nexus Swarm Orchestrator
Author: whrit

bywhrit

0•

생산성 및 워크플로

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

Flow Nexus Swarm is a comprehensive orchestration skill that enables Claude to deploy and manage sophisticated AI agent swarms using diverse topologies like mesh, hierarchical, and star. It allows for the creation of event-driven workflows with message queue processing, intelligent agent assignment via vector similarity, and real-time monitoring of cloud-based operations. This skill is ideal for developers needing to scale AI tasks beyond a single agent, providing pre-built templates for full-stack development, research cycles, and CI/CD pipelines while maintaining high-level control over task delegation and resource scaling.

주요 기능

01Intelligent agent assignment utilizing vector similarity matching for optimal task allocation

02Extensive template library for common patterns like ETL, CI/CD, and collaborative research

03Cloud-based execution with auto-scaling capabilities and real-time audit trails

04Event-driven workflow automation with complex dependency management and retry policies

05Multi-topology swarm support including Hierarchical, Mesh, Ring, and Star architectures

060 GitHub stars

사용 사례

01Conducting deep-dive research projects using peer-to-peer collaborative mesh topologies

02Managing complex full-stack development cycles by coordinating specialized coder and analyst agents

03Automating multi-step data processing and ETL pipelines with event-driven triggers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add whrit/agent-flow flow-nexus-swarm

For use in Claude.ai and ChatGPT

Download Skill