Agent Workflow Designer
FreeStreamline complex multi-agent workflows with precision.
Free · Opens the source repo
What Agent Workflow Designer does
The Agent Workflow Designer is a powerful tool designed for creating production-grade workflows that involve multiple agents. It provides a structured approach to selecting workflow patterns, including sequential, parallel, and hierarchical designs. This skill is particularly useful when architecting multi-step pipelines where a single prompt is insufficient due to task complexity. By defining clear handoff contracts and implementing robust failure handling, users can ensure reliable communication between agents and maintain control over context and costs throughout the workflow.
With the included workflow_scaffolder.py script, users can quickly generate skeleton configurations for various workflow patterns. This allows for rapid bootstrapping of workflows, enabling developers and designers to focus on the logic and functionality rather than the underlying boilerplate code. The skill also emphasizes the importance of error recovery strategies and validation loops, which are essential for maintaining quality and safety in agent interactions.
The documentation provides pointers on operational pattern trade-offs, helping users make informed decisions based on their specific requirements. This skill is ideal for those who need to manage complex interactions between specialist agents, ensuring that each agent operates within its defined boundaries while contributing to the overall workflow. Whether you are refactoring an existing LLM workflow or designing a new multi-agent system, the Agent Workflow Designer offers the necessary tools to create efficient and effective workflows.
When to use it
Use this skill when dealing with complex tasks that require multiple agents and explicit control over their interactions and dependencies.
When not to use it
This skill may not be suitable for simple tasks that can be effectively handled with a single prompt or where the overhead of managing multiple agents is unnecessary.
What you can build with it
Creating a Content Pipeline
Generate a sequential workflow for content generation that involves multiple steps, ensuring each stage is clearly defined.
Incident Triage System
Design an orchestrator workflow that coordinates various specialist agents to handle incidents efficiently.
Quality Assurance Loop
Implement an evaluator pattern to create a feedback loop that validates outputs before proceeding to the next step.
How to install Agent Workflow Designer
View source1. Install with the skills CLI
npx skills add alirezarezvani/claude-skills/agent-workflow-designer --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by alirezarezvaniAgent 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
# 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 chainparallel: fan-out/fan-in for independent subtasksrouter: dispatch by intent/type with fallbackorchestrator: planner coordinates specialists with dependenciesevaluator: generator + quality gate loop
Detailed templates: references/workflow-patterns.md
Recommended Workflow
- Select pattern based on dependency shape and risk profile.
- Scaffold config via
scripts/workflow_scaffolder.py. - Define handoff contract fields for every edge.
- Add retry/timeouts and output validation gates.
- 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
- Start with the smallest pattern that can satisfy requirements.
- Keep handoff payloads explicit and bounded.
- Validate intermediate outputs before fan-in synthesis.
- Enforce budget and timeout limits in every step.
Frequently asked questions about Agent Workflow Designer
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