agent-workflow-designer

Generates pattern-based skeleton configurations for multi-agent workflows with operational guardrails.

Updated Nov 3, 2016
One-click install
npx skills add https://github.com/xleliberty/mydotfiles --skill agent-workflow-designer-xleliberty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-workflow-designer
Source: https://github.com/xleliberty/mydotfiles/tree/main/.config/.claude/plugins/cache/claude-code-skills/engineering-advanced-skills/2.1.2/agent-workflow-designer
Command: npx skills add https://github.com/xleliberty/mydotfiles --skill agent-workflow-designer-xleliberty

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity of building multi-agent systems by providing a structured, deterministic framework for designing workflows, preventing common pitfalls like over-orchestration and poor error handling.

Core Features & Use Cases

  • Pattern Scaffolding: Quickly generate boilerplate configurations for sequential, parallel, router, orchestrator, and evaluator patterns.
  • Operational Guardrails: Enforce cost controls, timeout policies, and validation loops to ensure system reliability.
  • Use Case: When building a complex content pipeline, use this tool to scaffold a robust orchestrator workflow that manages specialist agents for research, drafting, and quality review with built-in retry logic.

Quick Start

Use the agent-workflow-designer to generate a sequential workflow skeleton named content-pipeline by running the workflow scaffolder script.

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 multi-agent workflows with proper failure recovery?▼

Scaffold multi-agent workflows using pattern-based skeleton configurations that implement deterministic structures, explicit handoff contracts, and operational guardrails for specialist agent coordination and failure recovery.

What is the best way to prevent over-orchestration in multi-agent systems?▼

Prevent over-orchestration in multi-agent systems by applying structured, deterministic workflow frameworks that enforce cost-discipline controls, timeout policies, and operational guardrails.

How do I scaffold a sequential workflow for a content pipeline?▼

Scaffold a sequential content pipeline workflow by running the workflow scaffolder script to generate boilerplate configurations that manage research, drafting, and quality review specialist agents.

Can I generate boilerplate configurations for parallel and router agent patterns?▼

Yes, you can generate boilerplate configurations for sequential, parallel, router, orchestrator, and evaluator patterns to quickly establish production-grade multi-agent system architectures.

How do you manage dependencies and cost controls in AI orchestration?▼

Manage dependencies and costs in AI orchestration by enforcing operational guardrails, including cost-discipline controls, timeout policies, and validation loops within deterministic workflow structures.

When should I use an orchestrator pattern versus an evaluator pattern for AI agents?▼

Use an orchestrator pattern to manage specialist agent coordination with retry logic, while evaluator patterns suit quality review stages within complex content pipelines requiring validation loops.