Skip to content
Automation
Skill

/choosing-swarm-patterns

Use when coordinating multiple AI agents with Agent Relay's workflow engine and need to pick the right orchestration pattern - covers the 10 core patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) plus 14 specialized ones, with

From plugin
relay
1.1k18 skills39 agents1 MCP

Claude Code

$ npx -y skills add AgentWorkforce/relay --skill choosing-swarm-patterns --agent claude-code

SKILL.md

choosing-swarm-patterns.SKILL.md
name: choosing-swarm-patterns
description: Use when coordinating multiple AI agents with Agent Relay's workflow engine and need to pick the right orchestration pattern - covers the 10 core patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) plus 14 specialized ones, with decision framework and accurate SDK/YAML examples.

Overview

The Agent Relay SDK (`@agent-relay/sdk`) supports 24 swarm patterns via a single `swarm.pattern` field. Patterns are configured declaratively in YAML — there are no standalone `fanOut(...)` / `hubAndSpoke(...)` helpers. Pick the simplest pattern that solves the problem; add complexity only when the system proves it's insufficient.

Run a pattern

TypeScript SDK runner

import { runWorkflow } from '@agent-relay/sdk/workflows';

const run = await runWorkflow('workflows/feature-dev.yaml', {
  vars: { task: 'Add OAuth login' },
});

Quick Decision Framework

Is the task independent per agent?
  YES → fan-out (parallel workers, hub collects)

Does each step need the previous step's output?
  YES → Is it strictly linear?
    YES → pipeline
    NO  → dag (parallel where possible, `dependsOn` edges)

Does a coordinator need to stay alive and adapt?
  YES → hub-spoke (single-level hub + workers)
        hierarchical (structurally identical in current impl; use for naming/intent)

Is the task about making a decision?
  YES → Do agents need to argue opposing sides?
    YES → debate (adversarial, full mesh)
    NO  → consensus (cooperative, full mesh + coordination.consensusStrategy)

Does the right specialist emerge during processing?
  YES → handoff (sequential chain, one active at a time)

Do all agents need to freely collaborate?
  YES → mesh (full peer-to-peer edges)

Is cost the primary concern?
  YES → cascade (chain of increasingly capable agents; each step's prompt
        decides whether to pass through or redo the prior output)

Pattern Reference (Core 10)

| # | Pattern | Topology (actual edges) | Best For | | --- | ---------------- | ------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | | 1 | **fan-out** | Hub broadcasts to N workers; workers reply to hub only | Independent subtasks (reviews, research, tests) | | 2 | **pipeline** | Linear chain (`agent_i` → `agent_{i+1}`) | Ordered stages (design → implement → test) | | 3 | **hub-spoke** | Hub ↔ spokes (bidirectional); no spoke-to-spoke | Dynamic coordination, lead reviews/adjusts | | 4 | **consensus** | Full mesh; decision via `coordination.consensusStrategy` | Architecture decisions, approval gates | | 5 | **mesh** | Full mesh (every agent ↔ every other) | Brainstorming, collaborative debugging | | 6 | **handoff** | Chain; passes control forward | Triage, specialist routing | | 7 | **cascade** | Chain of `dependsOn` steps; all run on success, downstream skipped on upstream failure (no built-in "fall through") | Cost optimization: cheap first, each step's prompt passes through or redoes | | 8 | **dag** | Edges from step `dependsOn` | Mixed dependencies, parallel where possible | | 9 | **debate** | Full mesh (same topology as mesh; roles drive behavior) | Rigorous adversarial examination | | 10 | **hierarchical** | Hub + subordinates (single-level in current impl) | Large teams; semantic distinction from hub-spoke |

> **Heads up:** `hierarchical` resolves to the same edge structure as `hub-spoke` in `coordinator.ts:313-319`. Multi-level tree topology is not currently implemented — use pattern name for intent, but expect the same runtime graph.

Additional Patterns (role-driven)

These 14 additional patterns exist in `SwarmPattern` (types.ts:114-139). The coordinator has role-based auto-selection heuristics (`coordinator.ts:51-165`), but they only fire when `swarm.pattern` is **omitted** — YAML validation requires it (`runner.ts:2105-2117`), so auto-selection is effectively a programmatic-API feature. In YAML, set `swarm.pattern` explicitly.

Topology is still resolved per-pattern once selected; the "Triggering roles" column reflects what the coordinator looks for to shape edges (per `coordinator.ts:250-450`):

| Pattern | Roles the topology keys off | Topology | | ----------------- | ------------------------------------------------------- | ---------------------------------------------- | | `map-reduce` | `mapper` + `reducer` | coordinator → mappers → reducers → coordinator | | `scatter-gather` | — | hub → workers → hub

Read more
@agentworkforce
Ships withrelay

Tired of copy/pasting from Claude Code into Slack so your coworker can paste it into their agent? Ever put an important rule in a skill or AGENTS.md, only for the agent to completely ignore it? You and your teammates agents ever build the same thing?

1.1k18 skills39 agents1 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
1.1k
Star history of AgentWorkforce/relay on GitHub, a chart by star-history.com

Other skills on relay.

creating-skills-skill

creating-skills-skill

Use when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective…

More skills from other plugins.

agent-builder

agent-builder

Load immediately after an Agent intent, before the first agent_builder_* call. Governs how you create, configure, test, and…

n8n11d209k
@n8n-io@n8n-ioInstall Skill
browser-use

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…

@browser-use@browser-useInstall Skill
agent-browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…

@vercel-labs-2@vercel-labs-2Install Skill
add-anydoc

add-anydoc

Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when…

@nanocoai@nanocoaiInstall Skill

Questions about choosing-swarm-patterns.

Which coding agents can use choosing-swarm-patterns?
choosing-swarm-patterns installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.