Is telemetry supported in this framework?

Yes, the framework and this skill emphasize enterprise features like OpenTelemetry integration for monitoring and debugging agentic workflows.

Does this skill support C# development?

Yes, it provides comprehensive implementation patterns and examples for both C# (.NET 8.0+) and Python 3.10+.

How does it handle human-in-the-loop requirements?

It includes specific patterns for tool approval workflows, ensuring that sensitive actions require manual verification before execution.

What is the Microsoft Agent Framework?

It is an open-source platform designed for building production-grade AI agents, unifying the simplicity of AutoGen with the enterprise features of Semantic Kernel.

Can I use this for multi-agent orchestration?

Absolutely. The skill specializes in graph-based orchestration, allowing for parallel execution, conditional routing, and complex state management between multiple agents.

Microsoft Agent Framework

Name: Microsoft Agent Framework
Author: rysweet

byrysweet

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데이터 과학 및 ML

Architects production-grade AI agents and multi-agent workflows using Microsoft's unified framework for Python and C#.

This skill provides Claude with deep technical expertise in the Microsoft Agent Framework, an open-source platform that combines the flexibility of AutoGen with the enterprise-ready features of Semantic Kernel. It enables developers to build sophisticated, stateful conversational agents, implement complex graph-based orchestrations with conditional routing, and integrate secure tool execution with human-in-the-loop approvals. Ideal for enterprise AI tasks, it covers cross-platform development, telemetry, and middleware, ensuring that agentic systems are robust, observable, and ready for production environments.

주요 기능

01Graph-based orchestration with parallel and conditional routing

02Cross-platform support for Python 3.10+ and C# (.NET 8.0+)

0320 GitHub stars

04Human-in-the-loop patterns for secure tool and function execution

05Stateful multi-turn conversation and context management

06Enterprise middleware for telemetry, logging, and authentication

사용 사례

01Developing cross-platform AI services requiring unified Python and C# implementations

02Migrating and scaling existing AutoGen workflows to production environments

03Building enterprise-ready multi-agent systems with complex orchestration logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rysweet/amplihack microsoft-agent-framework

For use in Claude.ai and ChatGPT

Download Skill