Agent skill · software engineering · aiskillstore
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Why this skill is useful
Adds executable scripts for swarm management and event-driven workflow automation that are not publicly documented.
What it needs
Requires flow-nexus installed locally. Requires flow-nexus account access. About 7k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Flow Nexus Swarm & Workflow Orchestration Deploy and manage cloud-based AI agent swarms with event-driven workflow automation, message queue processing, and intelligent agent coordination. 📋 Table of Contents 1. Overview 2. Swarm Management 3. Workflow Automation 4. Agent Orchestration 5. Templates & Patterns 6. Advanced Features 7. Best Practices Overview Flow Nexus provides cloud-based orchestration for AI agent swarms with: Multi-topology Support: Hierarchical, mesh, ring, and star architectures Event-driven Workflows: Message queue processing with async execution Template Library: Pre-built swarm configurations for common use cases Intelligent Agent Assignment: Vector similarity matching for optimal agent selection Real-time Monitoring: Comprehensive metrics and audit trails Scalable Infrastructure: Cloud-based execution with auto-scaling Swarm Management Initialize Swarm Create a new swarm with specified topology and configuration: Topology Guide: Hierarchical: Tree structure with coordinator nodes (best for complex projects) Mesh: Peer-to-peer collaboration (best for research and analysis) Ring: Circular coordination (best for sequential workflows) Star: Centralized hub (best for simple delegation) Strategy Guide: Balanced: Equal distribution of workload across agents Specialized: Agents focus on specific expertise areas Adaptive: Dynamic adjustment based on task complexity Spawn Agents Add specialized agents to the swarm: Agent Types: Researcher: Information gathering, web search, analysis Coder: Code generation, refactoring, implementation Analyst: Data analysis, pattern recognition, insights Optimizer: Performance tuning, resource optimization Coordinator: Task delegation, progress tracking, integration Orchestrate Tasks Distribute tasks across the swarm: Execution Strategies: Parallel: Maximum concurrency for independent subtasks Sequential: Step-by-step execution with dependencies Adaptive: AI-powered strategy selection based on task analysis Monitor & S …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/flow-nexus-swarm