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autogen-guide

Build conversational multi-agent systems with AutoGen — agent types, group chats, and orchestration patterns.

skills/autogen-guide/SKILL.md

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## Overview

AutoGen structures multi-agent systems as conversations: agents are participants
that send and receive messages, and complex behavior emerges from their dialogue.
The core abstractions are conversable agents (LLM-backed agents that can chat, use
tools, and execute code), the two-agent patterns (assistant + user-proxy, where
the proxy represents human interests and can execute code), and group chat
(multiple agents with a manager selecting who speaks next). Code execution is a
first-class citizen — agents write code, a proxy executes it, and results flow
back into the conversation.

The framework's strength is flexibility: the same conversational substrate
supports pair programming, multi-agent debate, tool-use loops, and
human-in-the-loop workflows. The cost is that conversation is an undisciplined