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choosing-swarm-patterns

100 / 100 · Low risk

Fine to try.

By AgentWorkforce/relay (GitHub) · productivity · 1,119 stars · scanned at commit 4879e0a

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.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Other copies in this repository

AgentWorkforce/relay has 1 more folder with a skill named choosing-swarm-patterns. This page shows the lowest-scoring copy.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'choosing-swarm-patterns' ] || [ -L ~/.agents/skills/'choosing-swarm-patterns' ]; then echo 'A skill folder named choosing-swarm-patterns already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/AgentWorkforce/relay' "$d" && git -C "$d" checkout --quiet '4879e0a4a67fb8240b84322aadcbecbca6d4d363' -- '.agents/skills/choosing-swarm-patterns' && mkdir -p ~/.agents/skills && cp -R "$d"/'.agents/skills/choosing-swarm-patterns' ~/.agents/skills/'choosing-swarm-patterns' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'choosing-swarm-patterns' ~/.claude/skills/'choosing-swarm-patterns' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-144879e0a100
2026-11-1058faeca100
2026-11-084f2d49a100
2026-11-075d64f8f100