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AgentWorkforce
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writing-agent-relay-workflows

Design multi-agent workflows with the Relay broker-sdk across TypeScript, Python, or YAML.

7|Updated Feb 17, 2026
Search Tags:#automation#workflow#verification#agents#relay#dag#channel-management
One-click install
npx skills add https://github.com/AgentWorkforce/relayfile --skill writing-agent-relay-workflows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: writing-agent-relay-workflows
Source: https://github.com/AgentWorkforce/relayfile/tree/main/.claude/skills/writing-agent-relay-workflows
Command: npx skills add https://github.com/AgentWorkforce/relayfile --skill writing-agent-relay-workflows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multi-agent tasks across the Relay broker-sdk requires clear orchestration, deterministic task execution, and reliable communication patterns. This Skill provides a structured approach to designing and deploying DAG, pipeline, and swarm workflows with explicit step dependencies, per-step outputs, and robust channel management to enable scalable collaboration.

Core Features & Use Cases

  • Workflow orchestration using the WorkflowBuilder API across TypeScript, Python, or YAML.
  • DAG-based step dependencies, step output chaining via {{steps.X.output}}, and verification gates for reliable completion.
  • Dynamic channel management with dedicated leader/worker channels, event listeners, and support for real-time collaboration.
  • Suitable for building end-to-end orchestration in software engineering contexts such as code reviews, CI pipelines, and multi-agent automation.

Quick Start

Instantiate a new multi-agent workflow named my-workflow with a lead agent and two workers, then run it.

Frequently Asked Questions about writing-agent-relay-workflows

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

FAQPage Schema
How do I orchestrate multi-agent workflows with DAG step dependencies?▼

You can orchestrate multi-agent workflows by using the WorkflowBuilder API to define DAGs, establish step dependencies, and chain step outputs via template variables for deterministic task execution across TypeScript, Python, or YAML.

What is dynamic channel management for multi-agent collaboration?▼

Dynamic channel management is a communication pattern that uses dedicated leader and worker channels with event listeners to enable real-time, scalable collaboration and reliable message passing between agents in a workflow.

How do I pass data between steps in a multi-agent workflow?▼

You pass data between workflow steps by chaining outputs using template variables like {{steps.X.output}}, allowing downstream agents to consume the exact results produced by preceding tasks in the execution graph.

Can I configure verification gates for multi-agent task execution?▼

Yes, you can configure verification gates within your workflow to enforce reliable completion criteria, ensuring that each step meets its safety checks and validation requirements before dependent tasks are triggered.

Does the Relay broker-sdk support TypeScript, Python, and YAML for workflow design?▼

Yes, the Relay broker-sdk supports workflow design across TypeScript, Python, and YAML configurations, allowing you to define DAGs, steps, and channels in the language or format that best fits your software engineering context.

When should I use DAG-based workflows for agent automation?▼

You should use DAG-based workflows for agent automation when you need deterministic task execution, explicit step dependencies, and structured coordination for complex processes like code reviews, CI pipelines, or multi-agent automation.

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