Dotnet AI

by @dotnet · plugin · 5 skills

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

Install the whole plugin (CLI)

npx skillmds add dotnet/mcp-csharp-test
npx skillmds add dotnet/mcp-csharp-debug
npx skillmds add dotnet/mcp-csharp-create
npx skillmds add dotnet/mcp-csharp-publish
npx skillmds add dotnet/technology-selection

⬇ Download

Skills in this plugin

▌
mcp-csharp-test · dotnet bundle
Test C# MCP servers at unit and integration levels using xUnit, Moq, and the MCP client SDK.

4k
repo stars
▌
mcp-csharp-debug · dotnet bundle
Run, debug, and interactively test C# MCP servers locally with IDE configuration, MCP Inspector, and GitHub Copilot Agent Mode integration.

4k
repo stars
▌
mcp-csharp-create · dotnet bundle
Create MCP servers using the C# SDK and .NET project templates, covering scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP.

4k
repo stars
▌
mcp-csharp-publish · dotnet bundle
Publish and deploy C# MCP servers to NuGet, Docker, Azure, and the MCP Registry.

4k
repo stars
▌
technology-selection · dotnet
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, GitHub Copilot SDK, ONNX Runtime, and OllamaSharp.

4k
repo stars