Relay Workflows

Relay Workflows is an AI Engineering skill for Claude Code, published by AgentWorkforce in relay.

801 stars64 forkson AgentWorkforce/relayAdded 2026/08/23+1% in starsRepository updated 2026/08/22

agentagent-collaborationagent-communicationagent-skillsagentic-aiagentsheadlessorchestrationorchestration-systemsreal-timeslack

Install in seconds

Install Relay Workflows

Copy Relay Workflows into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-agent-relay-workflows ~/.claude/skills/writing-agent-relay-workflows

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/AgentWorkforce/relay.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .agents/skills/writing-agent-relay-workflows/SKILL.md in AgentWorkforce/relay
Installs to: ~/.claude/skills/writing-agent-relay-workflows
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Relay Workflows does

Relay Workflows helps build multi-agent workflows with @relayflows/core using DAG steps, agent coordination, and output chaining. Use it for review/fix loops, verification gates, and chat-native or pipeline-style orchestration.

Relay Workflows is cataloged under AI Engineering on DirSkills. Relay Workflows comes from a repository tagged agent, agent-collaboration, agent-communication, agent-skills and agentic-ai.

Documentation

README

Excerpt

Overview

The @relayflows/core workflow system orchestrates multiple AI agents (Claude, Codex, Gemini, Aider, Goose) through typed DAG-based workflows. Workflows can be written in TypeScript (preferred), Python, or YAML.

Language preference: TypeScript > Python > YAML. Use TypeScript unless the project is Python-only or a simple config-driven workflow suits YAML.

Pattern selection: Do not default to dag blindly. If the job needs a different swarm/workflow type, consult the choosing-swarm-patterns skill when available and select the pattern that best matches the coordination problem.

When to Use

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Relay Workflows

What else does AgentWorkforce publish alongside Relay Workflows?
Relay Workflows is one of 25 skills that DirSkills catalogs from AgentWorkforce/relay, the repository it ships in. Its siblings there include Agent Relay, Agent Relay and Animation Review. Each one is a separate skill with its own page in this directory, installs the same way Relay Workflows does, and is maintained by AgentWorkforce in that same repository. The rest of the collection is listed on the AgentWorkforce/relay page.
How does Relay Workflows compare to other AI Engineering skills?
Relay Workflows ranks #1615 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Relay Workflows against them. Open each page to compare what they document and how they install.