Microsoft Agent Type Implementation

关于

This skill provides Claude Code with expert patterns and implementation logic for the Microsoft Agent Framework. It guides developers through selecting and coding various agent architectures, including ChatAgents for conversational support, BaseAgents for low-level message control, WorkflowAgents for multi-step orchestration, and A2A agents for collaborative multi-agent environments. By leveraging this skill, developers can ensure best practices in model selection, memory management, and tool configuration while building resilient, production-ready AI agent systems.

主要功能

• Configuration guidance for memory management including Vector and Summary memory
• Advanced tool configuration with human-in-the-loop approval workflows
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• Agent-to-agent (A2A) communication and discovery protocol implementation
• Standard implementation patterns for ChatAgent, BaseAgent, and WorkflowAgent
• Lifecycle management and error handling strategies for resilient agent execution

使用场景

• Orchestrating multi-step document processing pipelines via specialized WorkflowAgents
• Building conversational customer support assistants with complex tool-calling requirements
• Designing collaborative agent ecosystems where specialized agents delegate tasks through A2A protocols