Design Multi-Agent Workflows Without the Guesswork

Where this fits

You are building a research brief tool that needs to gather sources, outline, draft, and fact-check. At first, a single prompt seems enough, but then context bloat sets in and agent handoffs fail. The agent-workflow-designer skill forces architecture decisions before implementation: choose a pattern, define handoff contracts, and plan failure paths. That turns a vague "add more agents" instinct into a concrete design step.

Why agents benefit

• It lets an agent compare single-agent versus multi-agent structures based on task complexity and context budget, rather than defaulting to more agents.
• It scaffolds handoff contracts so an agent can specify exactly what data and permissions move between stages, reducing unreliable transitions.
• It includes failure-handling templates—retries, fallbacks, escalation—so an agent can design recovery into the workflow instead of bolting it on later.
• It encodes cost and context discipline, prompting an agent to set context compaction and token budgets for long-running flows.
• It generates a skeleton config, giving an agent a concrete starting point for implementation instead of a generic architecture paragraph.

Practical scenarios

Content ops pipeline for a marketing team

You need research, draft, SEO-review, and legal-check agents. The skill helps you sequence research and drafting, then run SEO and legal checks in parallel with separate contracts for each reviewer's inputs and outputs.

Customer support triage with specialist handoffs

A triage agent must pass a ticket to billing, refunds, or technical support. Instead of an untyped "next agent" field, the skill defines a handoff contract for each specialist: required fields, accepted outputs, and escalation policies for ambiguous queries.

Refactoring a context-bloated monolith

One agent is trying to research, write, and validate at the same time. Context fills with irrelevant reasoning. Using the skill, an agent can analyze the task, choose a sequential workflow with isolated context windows, and generate a replacement architecture before any code changes.

Add it to your agent workflow

Install with:

npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer

Then ask your coding agent to use it when designing pipelines:

Use agent-workflow-designer to design a multi-step workflow.
The task: user uploads documents, an extraction agent pulls facts, a verification agent checks sources, then a summarizer writes a brief.
Output the pattern choice, handoff contracts, and failure handling for each step.

This turns a vague multi-agent idea into a structured plan you can implement.

Compare before adopting

Treat this skill as a design scaffold, not an orchestrator. Compare it to your current approach by looking at: quality signals like issue resolution and documentation updates; maintenance freshness—check whether the repo is actively updated; alternatives like plain diagrams or framework-specific SDKs; and workflow fit—does it match your stack and team conventions? The skill is most valuable when you need a fast, opinionated starting point that you can adapt.

Why it is worth tracking

With 25,000+ stars on GitHub and a clear pattern language for multi-agent systems, agent-workflow-designer has strong community momentum. It solves a real pain point: handoff reliability and context cost. The skill is worth re-evaluating whenever you start a new agent pipeline or refactor a failing LLM workflow. You can see the skill profile and star trajectory at OpenAgentSkill.