autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
Resources
1Install
npx skillscat add a5c-ai/babysitter/autogen-setup Install via the SkillsCat registry.
About this skill
This skill provides configuration for Microsoft AutoGen agents, enabling setup of multi‑agent conversations, code execution, and human‑in‑the‑loop interactions. It is used to design and manage autonomous task planning systems that require coordinated agent behavior.
SKILL.md
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
- 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
Install
npx skillscat add a5c-ai/babysitter/autogen-setup Install via the SkillsCat registry.