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agentic-workflow-design

Design multi-agent AI systems with orchestration patterns, tool interfaces, and error handling.

2|Updated Jan 15, 2026
Search Tags:#tool integration#error handling#memory management#orchestration#multi-agent systems#agent design
One-click install
npx skills add https://github.com/DTMC-marketplace/governance --skill agentic-workflow-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentic-workflow-design
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/agentic-workflow-design
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill agentic-workflow-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and templates for designing robust and efficient multi-agent AI systems, addressing challenges in orchestration, tool integration, memory management, and error handling.

Core Features & Use Cases

  • Orchestration Patterns: Explore and implement various patterns like ReAct, Plan-and-Execute, Multi-Agent Collaboration, and Hierarchical Multi-Agent systems.
  • Tool Design: Learn best practices for defining tool interfaces, schemas, and result handling.
  • Memory Management: Understand different memory architectures (working, episodic, semantic, procedural) and their implementation.
  • Error Handling & Recovery: Implement strategies for retries, fallbacks, and self-correction in agentic workflows.
  • Use Case: Design a complex AI system to autonomously research a market trend, identify key competitors, analyze their strategies, and generate a comprehensive report, ensuring each step is handled by specialized agents with robust error recovery.

Quick Start

Use the agentic-workflow-design skill to generate a template for a hierarchical multi-agent system.

Frequently Asked Questions about agentic-workflow-design

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

FAQPage Schema
How do I design orchestration patterns for multi-agent AI systems?▼

Multi-agent AI systems use orchestration patterns like ReAct, Plan-and-Execute, and Hierarchical Multi-Agent to coordinate tasks. This Skill generates structured design templates and code examples detailing agent architecture, specialized task delegation, and collaboration workflows.

What is the best way to implement memory management for autonomous agents?▼

Memory management for autonomous agents involves implementing working, episodic, semantic, and procedural memory architectures. This Skill provides design principles and structured templates to define memory strategies that retain context and procedural knowledge effectively.

How do I handle error recovery and retries in agentic workflows?▼

Error handling in agentic workflows requires implementing strategies for retries, fallbacks, and self-correction. This Skill outlines resilience mechanisms and design principles to ensure autonomous agents recover from execution failures robustly.

How do I define tool interfaces and schemas for AI agent integration?▼

Tool integration for AI agents requires defining clear tool interfaces, schemas, and result handling mechanisms. This Skill provides best practices and design templates to structure tool integration, ensuring agents can call external functions reliably.

Does this approach support creating hierarchical multi-agent systems for complex research tasks?▼

Hierarchical multi-agent systems support complex research tasks by assigning specialized agents to research, analyze, and report. This Skill generates templates for these architectures, ensuring each step is handled by specialized agents with robust error recovery.

When should I use Plan-and-Execute instead of ReAct for agent orchestration?▼

Plan-and-Execute orchestration separates planning from execution, suitable for complex multi-step tasks, while ReAct interleaves reasoning and acting for dynamic responses. This Skill details these orchestration patterns to help choose the appropriate design.

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