swarm-orchestration

Coordinate multi-agent swarms across mesh, hierarchical, and adaptive topologies.

Updated Sep 20, 2024
One-click install
npx skills add https://github.com/nahtonaj/dotfiles --skill swarm-orchestration-nahtonaj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm-orchestration
Source: https://github.com/nahtonaj/dotfiles/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/nahtonaj/dotfiles --skill swarm-orchestration-nahtonaj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates multi-agent swarms to coordinate tasks at scale across diverse topologies, reducing coordination overhead and manual wiring.

Core Features & Use Cases

  • Mesh, hierarchical, and adaptive topologies for flexible deployment
  • Automatic task distribution, load balancing, and fault tolerance
  • Shared memory coordination and hooks integration for seamless automation
  • Real-world scenarios: parallel computation, distributed testing, and scalable API development

Quick Start

Initialize a swarm with a mesh topology, spawn a few agents, and start parallel task orchestration.

Frequently Asked Questions about swarm-orchestration

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

FAQPage Schema
How do I coordinate multi-agent swarms for distributed task execution?

You coordinate multi-agent swarms using mesh, hierarchical, or adaptive topologies to enable scalable distributed task execution. This approach automates task distribution and load balancing across agents for parallel computation and testing workflows.

What is the best way to balance load and maintain fault tolerance across distributed agents?

Maintaining fault tolerance across distributed agents requires applying automatic task distribution and dynamic topology changes. This ensures load balancing and coordination continue seamlessly even when practical workflows encounter node failures.

Does multi-agent orchestration work with Node.js and agentic-flow v3.0.0-alpha.1?

Multi-agent orchestration works with agentic-flow v3.0.0-alpha.1+ and requires Node.js 18+. Compatibility with these environments ensures shared memory coordination and robust hooks integration for pre-task and post-task synchronization.

Can I change swarm topologies dynamically during parallel computation workflows?

You can change swarm topologies dynamically during parallel computation workflows. The orchestration supports adaptive topology changes, allowing flexible deployment across mesh or hierarchical structures as distributed task demands evolve.

Why use shared memory coordination and hooks integration in scalable API development?

Shared memory coordination and hooks integration in scalable API development automate pre-task coordination and post-task synchronization. This reduces manual wiring overhead and ensures seamless synchronization across multi-agent swarms.