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.