Agent-Skills.md

Agent Skills: AutoGen Setup Skill

Microsoft AutoGen multi-agent configuration for conversational AI systems

UncategorizedID: a5c-ai/babysitter/autogen-setup

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/autogen-setup

Skill Files

Browse the full folder contents for autogen-setup.

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plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/autogen-setup/SKILL.md

Skill Metadata

Name
autogen-setup
Description
Microsoft AutoGen multi-agent configuration for conversational AI systems

AutoGen Setup Skill

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

  1. AssistantAgent: LLM-powered assistant
  2. UserProxyAgent: Human proxy with code execution
  3. GroupChatManager: Multi-agent orchestration
  4. 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