AutoGen Setup Skill

SkillAI & models

Microsoft AutoGen multi-agent configuration for conversational AI systems

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the AutoGen Setup Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/autogen-setup/SKILL.md and read by ahel’s review.

Capabilities

Configure AutoGen agents (AssistantAgent, UserProxyAgent)
Set up agent conversations and group chats
Implement code execution capabilities
Design human-in-the-loop patterns
Configure nested agent architectures
Implement custom reply functions

Target Processes

multi-agent-system
autonomous-task-planning

Implementation Details

Agent Types

AssistantAgent: LLM-powered assistant
UserProxyAgent: Human proxy with code execution
GroupChatManager: Multi-agent orchestration
ConversableAgent: Base class for custom agents

Configuration Options

LLM configuration (models, temperatures)
Code execution settings
Human input mode
Max consecutive auto-replies
Function calling configuration

Patterns

Two-agent conversations
Group chats with selection
Nested conversations
Teachable agents

Best Practices

Proper termination conditions
Safe code execution sandboxing
Clear agent system messages
Monitor conversation flow

Dependencies

pyautogen

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: autogen-setup
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter