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choosing-swarm-patterns

Select among 10 orchestration patterns for coordinating AI agents.

7|Updated Feb 17, 2026
Search Tags:#workflow#patterns#multi-agent#orchestration#reflection#topology#decision-framework
One-click install
npx skills add https://github.com/AgentWorkforce/relayfile --skill choosing-swarm-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: choosing-swarm-patterns
Source: https://github.com/AgentWorkforce/relayfile/tree/main/.claude/skills/choosing-swarm-patterns
Command: npx skills add https://github.com/AgentWorkforce/relayfile --skill choosing-swarm-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple AI agents can be challenging without a structured guide. This skill provides a decision framework to select among 10 orchestration patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) and a reflection protocol to adapt workflows.

Core Features & Use Cases

  • A concise 10-pattern reference with topology, agents, and best-fit scenarios.
  • A pragmatic decision framework that guides when to apply each pattern.
  • Reflection protocol support to periodically reassess and adjust workflows.

Quick Start

Initialize a 2-agent or 5-agent workflow and apply the framework to determine the optimal pattern for your task.

Frequently Asked Questions about choosing-swarm-patterns

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

FAQPage Schema
What is the best way to orchestrate multiple AI agents in a workflow?▼

Multi-agent orchestration is best managed by selecting from 10 distinct workflow patterns like fan-out, pipeline, or mesh using a structured decision framework that matches your task topology to the most effective coordination model.

How do I choose between different multi-agent patterns for my task?▼

To choose a multi-agent pattern, apply a pragmatic decision framework that evaluates your specific scenario against 10 orchestration topologies, ensuring the selected pattern aligns with your operational requirements and agent roles.

When should I use a mesh topology versus a hub-spoke pattern for agent coordination?▼

Use a mesh topology for decentralized peer-to-agent interactions, whereas a hub-spoke pattern centralizes control through a single routing agent, with the decision framework providing exact best-fit scenarios for each.

Can I adapt multi-agent workflows dynamically during execution?▼

Yes, you can adapt multi-agent workflows during execution by configuring an optional reflection protocol that periodically reassesses the active orchestration pattern and adjusts the workflow to maintain optimal performance.

Do I need a large number of agents to use multi-agent orchestration patterns?▼

No, you do not need a large number of agents, as the orchestration decision framework supports initializing and optimizing workflows for small teams, including 2-agent or 5-agent configurations, across the 10 available patterns.

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