Agent Workflow Builder

The Agent Workflow Builder skill guides you through designing and implementing multi-agent AI systems that can plan, reason, use tools, and collaborate to accomplish complex tasks. Modern AI applications increasingly rely on agentic architectures where LLMs act as reasoning engines that orchestrate actions rather than just generate text.

This skill covers agent design patterns, tool integration, state management, error handling, and human-in-the-loop workflows. It helps you build robust agent systems that can handle real-world complexity while maintaining safety and controllability.

Whether you are building autonomous assistants, workflow automation, or complex reasoning systems, this skill ensures your agent architecture is well-designed and production-ready.

Core Workflows

Workflow 1: Design Agent Architecture

1. Define the agent's scope:
   • What tasks should it handle autonomously?
   • What requires human approval?
   • What is explicitly out of scope?
2. Choose architecture pattern:

   Pattern	Description	Use When
   Single Agent	One LLM with tools	Simple tasks, clear scope