agent-workflow-designer

Design and govern multi-agent workflows with pattern selection and skeleton generation.

Updated Nov 28, 2025
One-click install
npx skills add https://github.com/moshesham/Economic-Dashboard-API --skill agent-workflow-designer-moshesham
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-workflow-designer
Source: https://github.com/moshesham/Economic-Dashboard-API/tree/main/.github/skills/agent-workflow-designer
Command: npx skills add https://github.com/moshesham/Economic-Dashboard-API --skill agent-workflow-designer-moshesham

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Agent Workflow Designer helps engineering teams design and govern complex multi-agent pipelines, reducing ambiguity and integration risk.

Core Features & Use Cases

  • 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

Quick Start

Generate a sequential workflow scaffold for a new incident-handling pipeline.

Frequently Asked Questions about agent-workflow-designer

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

FAQPage Schema
How do I design a multi-agent workflow for reliable orchestration?▼

Design multi-agent workflows by applying pattern selection, skeleton generation, and clear handoff contracts. This ensures deterministic, auditable executions across sequential, parallel, and orchestrated agent patterns for production-grade reliability.

What is the best way to scaffold error recovery and retry strategies in agent pipelines?▼

The best way to scaffold error recovery is by generating workflow skeletons with built-in retry strategy scaffolding and cost discipline. This approach governs complex agent pipelines and reduces integration risk during real-world tasks.

How do you handle context and cost discipline across long-running agent flows?▼

Maintain context and cost discipline across long-running agent flows by implementing governance frameworks with clear handoff contracts. This ensures deterministic execution and prevents resource exhaustion in complex multi-step pipelines.

When do I need to use sequential versus parallel patterns in multi-agent orchestration?▼

You need sequential, parallel, or orchestrated agent patterns when designing multi-step agent systems requiring reliable task execution. Pattern selection depends on workflow dependencies and the need for deterministic, auditable executions.

Can I generate a skeleton config for fast workflow bootstrapping in multi-agent systems?▼

Yes, you can generate skeleton configurations for fast workflow bootstrapping. This automates the design of multi-agent pipelines by providing initial scaffolding, documentation pointers, and operational pattern tradeoffs.

Why does multi-agent orchestration require clear handoff contracts for deterministic execution?▼

Multi-agent orchestration requires clear handoff contracts to ensure deterministic, auditable executions. Defining these contracts reduces ambiguity and integration risk across sequential, parallel, and orchestrated agent patterns.