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.