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swarm-advanced

Orchestrate multi-agent swarms with mesh, hierarchical, star, or ring topologies.

Updated Mar 15, 2026
Search Tags:#agents#mcp#orchestration#distributed#swarm#coordination#claude-flow
One-click install
npx skills add https://github.com/yashurathod/Portfolio --skill swarm-advanced-yashurathod
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swarm-advanced
Source: https://github.com/yashurathod/Portfolio/tree/main/.github/skills/swarm-advanced
Command: npx skills add https://github.com/yashurathod/Portfolio --skill swarm-advanced-yashurathod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Advanced swarm orchestration patterns enable researchers and engineers to design, deploy, and manage distributed worker swarms for complex experiments, simulations, and coordinated tasks.

Core Features & Use Cases

  • Pattern-driven swarm orchestration for research, development, testing, and production-like experiments.
  • Supports multiple topologies (mesh, hierarchical, star, ring) and agent strategies to model real-world distributed systems.
  • Use Case: Build a scalable swarm to perform parallel experiments, monitor health, and auto-recover on failures across diverse workloads.

Quick Start

Initialize a swarm topology, spawn agents, and orchestrate tasks using Claude Flow commands.

Frequently Asked Questions about swarm-advanced

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent swarms for distributed experiments?▼

Multi-agent swarm coordination uses pattern-driven orchestration to define topologies, agent roles, and monitoring to run parallel experiments and simulations across distributed workers.

What distributed topologies are available for swarm agent orchestration?▼

Swarm orchestration supports mesh, hierarchical, star, and ring topologies to model real-world distributed systems and coordinate agents across diverse workloads.

Do I need MCP tooling to set up a distributed agent swarm?▼

Yes, MCP tooling and Claude Flow-compatible commands are required to initialize swarm topologies, spawn agents, and orchestrate coordinated tasks with memory and monitoring primitives.

How do I auto-recover failed agents in a distributed swarm?▼

Swarm orchestration includes monitoring and health-check primitives that track agent status and auto-recover failures across diverse workloads during parallel experiments.

When should I use hierarchical topology over mesh for agent coordination?▼

Use hierarchical topology for structured command-and-control agent roles, and mesh topology for peer-to-peer coordination where all workers communicate equally across the swarm.

Can I run production-like simulations using distributed swarm orchestration?▼

Yes, swarm orchestration supports research, development, testing, and production-like experiments by modeling distributed systems with adaptive agent strategies and defined topologies.

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