Swarm Orchestration

Name: Swarm Orchestration
Availability: InStock
Author: ethansuttor

Orchestrate multi-agent swarms with mesh, hierarchical, and adaptive topologies.

Updated Apr 1, 2026

Search Tags:#orchestration #swarm #distributed-systems #agentic-flow #topology #fault-tolerance #load-balancing

Ready to run

npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill swarm-orchestration-ethansuttor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Swarm Orchestration
Source: https://github.com/Ethansuttor/QUANTIFIED/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill swarm-orchestration-ethansuttor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates multi-agent swarms to coordinate complex workflows, enabling scalable delegation, dynamic topologies, and fault-tolerant task distribution across many agents.

Core Features & Use Cases

Deterministic coordination of many agents using agentic-flow with mesh, hierarchical, and adaptive topologies.
Dynamic task distribution and load balancing across agents to scale workflows beyond a single process.
Fault tolerance and recovery through resilient coordination and state sharing to maintain progress in distributed environments.

Quick Start

Initialize a swarm with a mesh topology, spawn roles for coder, tester, and reviewer, and begin parallel tasks.

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 systems for parallel task execution?▼

To coordinate multi-agent systems, you can orchestrate distributed tasks across scalable topologies like mesh, hierarchical, or adaptive swarms to enable parallelism and dynamic task distribution.

What is the best way to implement fault tolerance in distributed AI workflows?▼

Fault tolerance in distributed AI workflows is implemented through resilient coordination and state sharing, ensuring progress is maintained and recovered during failures across distributed environments.

How does load balancing work across distributed agents in a swarm topology?▼

Load balancing across distributed agents works by dynamically distributing tasks throughout the swarm topology, allowing workflows to scale beyond a single process and prevent individual agent overload.

Can I use adaptive swarm topologies for large-scale software workflows?▼

Yes, you can use adaptive swarm topologies for large-scale software workflows, as the orchestration supports deterministic coordination, memory sharing, and scalable delegation across many agents.

When do I need dynamic topology orchestration for agentic flows?▼

Dynamic topology orchestration is needed when building large-scale AI workflows requiring parallelism, deterministic task delegation, and failure recovery across mesh or hierarchical distributed environments.