Agent skill

Agent Workflow Designer

by alirezarezvani in alirezarezvani/claude-skills

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls.

MITAuto-check passedAgent Workflows

Install Agent Workflow Designer

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills agent-workflow-designer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/skills/agent-workflow-designer .claude/skills/agent-workflow-designer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-workflow-designer
GitHub stars
28k
Token cost
~681 tokens
SKILL.md length
233 words
Files
3 (incl. scripts, references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls.

  • Works in 5 steps: Select pattern based on dependency shape… → Scaffold config via… → Define handoff contract fields for every… → …
  • Architecting a multi-step agent pipeline
  • SKILL.md covers Overview, Core Capabilities, When to Use and Quick Start, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Agent Workflow Designer is an agent skill from alirezarezvani/claude-skills. 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.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/workflow-patterns.md` and `scripts/workflow_scaffolder.py`).

It sits in Agent Workflows, covering Multi-agent orchestration and Refactoring. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Architecting a multi-step agent pipeline
  • Choosing between single-agent vs multi-agent approaches
  • Refactoring an LLM workflow that suffers from context bloat
  • Unreliable handoffs

Example prompts

  • “/agent-workflow-designer”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Select pattern based on dependency shape and risk profile.
  2. Scaffold config via scripts/workflow_scaffolder.py.
  3. Define handoff contract fields for every edge.
  4. Add retry/timeouts and output validation gates.
  5. Dry-run with small context budgets before scaling.

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Workflow Designer loads about 681 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 233 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~681
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 233 words, ~681 tokens.

Download SKILL.mdSave it as .claude/skills/agent-workflow-designer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
agent-workflow-designer
description
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.

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 dependency chain
  • parallel: fan-out/fan-in for independent subtasks
  • router: dispatch by intent/type with fallback
  • orchestrator: planner coordinates specialists with dependencies
  • evaluator: generator + quality gate loop

Detailed templates: references/workflow-patterns.md


  1. Select pattern based on dependency shape and risk profile.
  2. Scaffold config via scripts/workflow_scaffolder.py.
  3. Define handoff contract fields for every edge.
  4. Add retry/timeouts and output validation gates.
  5. Dry-run with small context budgets before scaling.

Common Pitfalls

  • Over-orchestrating tasks solvable by one well-structured prompt
  • Missing timeout/retry policies for external-model calls
  • Passing full upstream context instead of targeted artifacts
  • Ignoring per-step cost accumulation

Best Practices

  1. Start with the smallest pattern that can satisfy requirements.
  2. Keep handoff payloads explicit and bounded.
  3. Validate intermediate outputs before fan-in synthesis.
  4. Enforce budget and timeout limits in every step.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in engineering/skills/agent-workflow-designer of alirezarezvani/claude-skills.

  • SKILL.md
  • references/workflow-patterns.md
  • scripts/workflow_scaffolder.py

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Agent Workflow Designer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Workflow Designer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Workflow Designer this skillalirezarezvani/claude-skills28k—~681Automated safety check: PassMIT
Orchestrationnumman-ali/n-skills1.1k—~7.7kAutomated safety check: PassApache-2.0
Swarmaiskillstore/marketplace4301 repos~2.2kAutomated safety check: PassNone
Optimize Protocol0x0funky/vibehq-hub195—~3.2kAutomated safety check: PassMIT
Swarm Orchestrationruvnet/ruflo74k—~261Automated safety check: PassMIT
Flow SwarmLeoYeAI/openclaw-master-skills2.2k—~5.3kAutomated safety check: PassMIT

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Questions about Agent Workflow Designer

What does Agent Workflow Designer do?

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Agent Workflow Designer is an agent skill from alirezarezvani/claude-skills. Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls.

When should I use Agent Workflow Designer?

Agent Workflow Designer fits situations like: architecting a multi-step agent pipeline; choosing between single-agent vs multi-agent approaches; refactoring an LLM workflow that suffers from context bloat; unreliable handoffs.

How do I install Agent Workflow Designer in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer -a claude-code`. Or copy the skill folder (engineering/skills/agent-workflow-designer in alirezarezvani/claude-skills) into .claude/skills/agent-workflow-designer in your project. Claude Code loads it when a task matches its description.

How do I install Agent Workflow Designer in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer -a codex`. Or copy the skill folder (engineering/skills/agent-workflow-designer in alirezarezvani/claude-skills) into .agents/skills/agent-workflow-designer in your project. Codex loads it when a task matches its description.

Can I use Agent Workflow Designer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill agent-workflow-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-workflow-designer, .gemini/skills/agent-workflow-designer, .github/skills/agent-workflow-designer and .opencode/skills/agent-workflow-designer in your project.

What does Agent Workflow Designer need to run?

Going by SKILL.md and its folder, Agent Workflow Designer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Agent Workflow Designer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Workflow Designer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Agent Workflow Designer use?

Agent Workflow Designer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Workflow Designer use?

About 681 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 380 tokens, read only when the agent opens those files.

What are the alternatives to Agent Workflow Designer?

Skills that share tags, products or a category with Agent Workflow Designer: Orchestration (numman-ali/n-skills, 1.1k stars), Swarm (aiskillstore/marketplace, 430 stars), Optimize Protocol (0x0funky/vibehq-hub, 195 stars) and Swarm Orchestration (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Workflow Designer?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.