Agent skill · Design & Presentation

agent-workflow-designer

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.

Alireza Rezvani23,369★ · +428/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: yes
Path: engineering/skills/agent-workflow-designer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 23,791 · +422 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent Workflow Designer **Tier:** POWERFUL **Category:** Engineering **Domain:** Multi-Agent Systems / AI Orchestration --- ## Overview Design production-grade multi-agent workflows with clear pattern choice, handoff contracts, failure handling, and cost/context controls. ## Core Capabilities - Workflow pattern selection for multi-step agent systems - Skeleton config generation for fast workflow bootstrapping - Context and cost discipline across long-running flows - Error recovery and retry strategy scaffolding - Documentation pointers for operational pattern tradeoffs --- ## When to Use - A single prompt is insufficient for task complexity - You need specialist agents with explicit boundaries - You want deterministic workflow structure before implementation - You need validation loops for quality or safety gates --- ## Quick Start ```bash # Generate a sequential workflow skeleton python3 scripts/workflow_scaffolder.py sequential --name content-pipeline # Generate an orchestrator workflow and save it python3 scripts/workflow_scaffolder.py orchestrator --name incident-triage --output workflows/incident-triage.json ``` --- ## Pattern Map - `sequential`: strict step-by-step dependen

What's inside
Steps it walks through
  1. Overview
  2. Core Capabilities
  3. When to Use
  4. Quick Start
  5. Pattern Map
  6. Recommended Workflow
  7. Common Pitfalls
  8. Best Practices
Ships with 2 files
  • references/workflow-patterns.md
  • scripts/workflow_scaffolder.py
Commands it runs
Generate a sequential workflow skeleton
python3 scripts/workflow_scaffolder.py sequential --name content-pipeline
Generate an orchestrator workflow and save it
python3 scripts/workflow_scaffolder.py orchestrator --name incident-triage --output workflows/incident-triage.json
More from claude-skills
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About this skill
What does the agent-workflow-designer skill do?

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.

How do I install it?

Run `npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going