autogen-setup ยท diff
git:20260325.a6b3a88 to git:20260507.313363d
65 added, 62 removed. Audit A to A.
- ---
- name: autogen-setup
- description: Microsoft AutoGen multi-agent configuration for conversational AI systems
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- ---
-
- # 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
+ ---
+ name: autogen-setup
+ description: Microsoft AutoGen multi-agent configuration for conversational AI systems
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+
+ ---
+
+ # 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