Microsoft Agent Framework Router
Microsoft Agent Framework routing agent for agent-vs-workflow decisions, agent types, AgentThread or AgentSession state, tools, workflows, hosting…
Also works: dotnet agents install agent-framework-router
Agent frameworks, provider abstractions, MCP, Semantic Kernel, ML.NET, and other modern .NET AI building blocks.
Top-level routing agents that sit above the skill catalog and hand work to the right .NET guidance.
Microsoft Agent Framework routing agent for agent-vs-workflow decisions, agent types, AgentThread or AgentSession state, tools, workflows, hosting…
Also works: dotnet agents install agent-framework-router
AI-focused orchestration agent for Microsoft Agent Framework, Microsoft.Extensions.AI, Semantic Kernel, MCP, and ML.NET.
Also works: dotnet agents install ai
Browse every catalog entry tagged under AI. These cards link to dedicated skill pages and still support quick-view popups.
Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations.
Build .NET AI agents and multi-agent workflows with Microsoft Agent Framework using the right agent type, threads, tools, workflows, hosting protocols, and enterprise guardrails.
Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable.
Build or consume Model Context Protocol (MCP) servers and clients in .NET using the official MCP C# SDK, including stdio, Streamable HTTP, tools, prompts, resources, and…
Build provider-agnostic .NET AI integrations with `Microsoft.Extensions.AI`, `IChatClient`, embeddings, middleware, structured output, vector search, and evaluation.
Apply MCAF ML/AI delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems.
Work on C# and .NET-adjacent mixed-reality solutions around HoloLens, MRTK, OpenXR, Azure services, and integration boundaries where .NET participates in the stack.
Create MCP servers using the C# SDK and .NET project templates.
Run and debug C# MCP servers locally.
Publish and deploy C# MCP servers.
Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub…
No AI skills match this search.