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flow-nexus-swarm

Deploy and manage cloud-based AI agent swarms with event-driven workflows.

Updated Aug 23, 2026
Search Tags:#automation#workflow#agents#orchestration#cloud#message queue#swarm#flow nexus
One-click install
npx skills add https://github.com/ask-23/airflow-ecs --skill flow-nexus-swarm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flow-nexus-swarm
Source: https://github.com/ask-23/airflow-ecs/tree/main/context/.claude/skills/flow-nexus-swarm
Command: npx skills add https://github.com/ask-23/airflow-ecs --skill flow-nexus-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires flow-nexus.

What problem does it solve?

This Skill enables the deployment and management of cloud-based AI agent swarms with event-driven workflow automation, solving the challenge of orchestrating complex, scalable AI projects. It helps users leverage intelligent agent coordination and message queue processing to automate tasks, reduce operational overhead, and ensure robust, scalable execution in the cloud.

Core Features & Use Cases

  • Multi-topology Swarm Support: Deploy hierarchical, mesh, ring, or star architectures for optimal coordination and task execution in diverse scenarios.
  • Event-driven Workflows: Define and execute automated workflows triggered by events, with dependency management, parallel execution, and retry policies.
  • Intelligent Agent Assignment: Utilizes AI-powered vector similarity matching to find the optimal agent for each task based on capabilities, workload, and past performance.
  • Use Case: Orchestrate a full-stack development project in the cloud. Initialize a hierarchical swarm, spawn specialized agents (coder, architect, QA), and define a workflow that automatically progresses from requirements analysis to database design, backend/frontend development, and testing, all managed by Flow Nexus.

Quick Start

Initialize a hierarchical swarm in the cloud

mcp__flow-nexus__swarm_init({ topology: "hierarchical", maxAgents: 8, strategy: "balanced" })

Spawn a specialized researcher agent

mcp__flow-nexus__agent_spawn({ type: "researcher", name: "Lead Researcher", capabilities: ["web_search", "analysis", "summarization"] })