agent-workflow

Design AI agent workflows using Meta's 9-step process and 8-layer architecture.

3|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/alunadev/ald-skills --skill agent-workflow-alunadev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-workflow
Source: https://github.com/alunadev/ald-skills/tree/main/skills/agent-workflow
Command: npx skills add https://github.com/alunadev/ald-skills --skill agent-workflow-alunadev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured methodology for designing and architecting AI agent workflows, ensuring robust and scalable solutions.

Core Features & Use Cases

  • Agent Architecture Design: Utilizes an 8-layer framework for comprehensive system planning.
  • Workflow Development: Guides users through a 9-step process for building agents from scratch.
  • Use Case: When tasked with building a new AI agent for customer support, this Skill helps define its purpose, structure its inputs/outputs, enable reasoning, and integrate necessary tools.

Quick Start

Use the agent-workflow skill to design an AI agent that can process customer support tickets.

Frequently Asked Questions about agent-workflow

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

FAQPage Schema
How do I design an AI agent workflow from scratch?

Design an AI agent workflow by following a structured 9-step building process to define purpose, structure inputs/outputs, enable reasoning, and integrate necessary tools. This methodology ensures robust and scalable solutions from initial concept to implementation.

What is the 8-layer architecture framework for multi-agent systems?

The 8-layer architecture framework is a comprehensive system planning model for multi-agent systems. It structures modular agent architecture and provides a clear implementation path for translating business needs into agentic solutions.

How to translate business needs into agentic solutions for customer support?

Translate business needs into agentic solutions by using a structured agent design methodology to process customer support tickets. The workflow defines the agent's purpose, structures its inputs and outputs, and enables reasoning for specific tasks.

Can I use this agent architecture framework for tool integration?

Yes, the agent architecture framework supports tool integration as a core component of building AI agents. It addresses problems related to integrating necessary tools within the 8-layer architecture during the 9-step building process.

What's the best way to structure inputs and outputs for AI agents?

The best way to structure inputs and outputs for AI agents is through the 8-layer architecture framework. This comprehensive system planning approach ensures modular architecture and clear implementation paths for robust agent design.

When do I need a structured methodology for building AI agents?

You need a structured methodology for building AI agents when tasked with creating new agentic solutions like customer support processors. It ensures scalable solutions by guiding you through a 9-step process for workflow development and architecture design.