ReddRadar
Agent skill
autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/ai-agents-conversational/skills/autogen-setup
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?