skills.rest
zhangzhang-111-i
zhangzhang-111-iCOMMUNITY
Explore all skills by this author →
GitHub

agent-workflow-designer

Generate multi-agent workflow configuration skeletons using Python scripts.

2|Updated Mar 13, 2026
Search Tags:#workflow#design#scaffolding#agent#orchestration#multi-agent systems
One-click install
npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill agent-workflow-designer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-workflow-designer
Source: https://github.com/zhangzhang-111-i/claude-skills111/tree/main/engineering/agent-workflow-designer
Command: npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill agent-workflow-designer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity of designing and implementing multi-agent systems by providing structured patterns and scaffolding for workflow creation.

Core Features & Use Cases

  • Workflow Pattern Selection: Choose from predefined patterns like sequential, parallel, router, orchestrator, and evaluator.
  • Skeleton Generation: Quickly bootstrap workflow configurations using provided scripts.
  • Context & Cost Control: Tools and guidance for managing resource consumption in long-running flows.
  • Error Handling: Scaffolding for defining retry strategies and failure recovery.
  • Use Case: You need to build an AI system that first researches a topic, then drafts content, and finally reviews it. This Skill helps you define that sequential workflow structure.

Quick Start

Generate a sequential workflow skeleton named content-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 a content pipeline?▼

You scaffold a multi-agent workflow by selecting a predefined pattern like sequential or parallel, which then generates a configuration skeleton with handoff contracts and error handling.

What are the common patterns for multi-agent orchestration?▼

Common multi-agent orchestration patterns include sequential, parallel, router, orchestrator, and evaluator, each providing structured scaffolding for defining agent handoffs and managing long-running flows.

How do I bootstrap configuration for a multi-agent system?▼

You bootstrap multi-agent system configurations using provided Python scaffolding scripts that generate workflow skeletons, allowing you to quickly define structure and resource controls.

Can I define failure recovery and retry strategies in a multi-agent workflow?▼

Yes, multi-agent workflows include scaffolding for defining retry strategies and failure recovery, ensuring production-grade reliability for complex orchestration tasks.

How do I manage resource consumption in long-running agent flows?▼

You manage resource consumption in long-running agent flows using built-in context and cost control features that help define constraints within the generated workflow configuration.

Related Skills

Explore More Software Engineering Skills→
JoranHonigJoranHonig
63

summon

Create audit workspace directories and GRIMOIRE.md for new codebase engagements.

Community
Intermediate
xlelibertyxleliberty

agent-workflow-designer

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

Community
Advanced
maplin-comaplin-co

session-management

Monitor token usage, navigate historical sessions, and prune irrelevant context.

Official
Intermediate
vladm3105vladm3105
16

n8n

Design n8n workflows, custom nodes, and integrations across services.

Community
Advanced