Apply MCAF ML/AI delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems.
AI bundle
Install all 12 skills from the AI category in one command.
Install command
Run this command when you want the bundle to install every linked skill in one pass.
dotnet skills install bundle ai
What this bundle covers
Install all 12 skills from the AI category in one command.
Included skills
These are the exact skills installed by this bundle command.
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 .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 provider-agnostic .NET AI integrations with `Microsoft.Extensions.AI`, `IChatClient`, embeddings, middleware, structured output, vector search, and evaluation.
Work on C# and .NET-adjacent mixed-reality solutions around HoloLens, MRTK, OpenXR, Azure services, and integration boundaries where .NET participates in the stack.
Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations.
Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable.
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 skills are currently attached to this bundle.