dotnet-ai
By dotnet
Build, debug, test, and deploy C# MCP servers that expose .NET tools to AI agents and LLMs for agentic workflows, RAG pipelines, and classic ML with ML.NET. Select optimal .NET 8+ AI/ML technologies like ONNX Runtime and OllamaSharp via guided decision trees.
Component Overview
Install
npx claudepluginhub dotnet/skills --plugin dotnet-aiComponent Details
Skills (5)
Create MCP servers using the C# SDK and .NET project templates. Covers scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP. USE FOR: creating new MCP server projects, scaffolding with dotnet new mcpserver, adding MCP tools/prompts/resources, choosing stdio vs HTTP transport, configuring MCP hosting in Program.cs, setting up ASP.NET Core MCP endpoints with MapMcp. DO NOT USE FOR: debugging or running existing servers (use mcp-csharp-debug), writing tests (use mcp-csharp-test), publishing or deploying (use mcp-csharp-publish), building MCP clients, non-.NET MCP servers.
Run and debug C# MCP servers locally. Covers IDE configuration, MCP Inspector testing, GitHub Copilot Agent Mode integration, logging setup, and troubleshooting. USE FOR: running MCP servers locally with dotnet run, configuring VS Code or Visual Studio for MCP debugging, testing tools with MCP Inspector, testing with GitHub Copilot Agent Mode, diagnosing tool registration issues, setting up mcp.json configuration, debugging MCP protocol messages, configuring logging for stdio and HTTP servers. DO NOT USE FOR: creating new MCP servers (use mcp-csharp-create), writing automated tests (use mcp-csharp-test), publishing or deploying to production (use mcp-csharp-publish).
Publish and deploy C# MCP servers. Covers NuGet packaging for stdio servers, Docker containerization for HTTP servers, Azure Container Apps and App Service deployment, and publishing to the official MCP Registry. USE FOR: packaging stdio MCP servers as NuGet tools, creating Dockerfiles for HTTP MCP servers, deploying to Azure Container Apps or App Service, publishing to the MCP Registry at registry.modelcontextprotocol.io, configuring server.json for MCP package metadata, setting up CI/CD for MCP server publishing. DO NOT USE FOR: publishing general NuGet libraries (not MCP-specific), general Docker guidance unrelated to MCP, creating new servers (use mcp-csharp-create), debugging (use mcp-csharp-debug), writing tests (use mcp-csharp-test).
Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via MCP protocol, testing HTTP MCP servers with WebApplicationFactory, mocking dependencies in tool tests, creating evaluations for MCP servers, writing eval questions, measuring tool quality. DO NOT USE FOR: testing MCP clients (this is server testing only), load or performance testing, testing non-.NET MCP servers, debugging server issues (use mcp-csharp-debug).
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 Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
README
.NET Agent Skills
This repository contains the .NET team's curated set of core skills and custom agents for coding agents. For information about the Agent Skills standard, see agentskills.io.
What's Included
| Plugin | Description |
|---|---|
| dotnet | Collection of core .NET skills for handling common .NET coding tasks. |
| dotnet-data | Skills for .NET data access and Entity Framework related tasks. |
| dotnet-diag | Skills for .NET performance investigations, debugging, and incident analysis. |
| dotnet-msbuild | Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization. |
| dotnet-nuget | NuGet and .NET package management: dependency management and modernization. |
| dotnet-upgrade | Skills for migrating and upgrading .NET projects across framework versions, language features, and compatibility targets. |
| dotnet-maui | Skills for .NET MAUI development: environment setup, diagnostics, and troubleshooting. |
| dotnet-ai | AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET. |
| dotnet-template-engine | .NET Template Engine skills: template discovery, project scaffolding, and template authoring. |
| dotnet-test | Skills for running, diagnosing, and migrating .NET tests: test execution, filtering, platform detection, and MSTest workflows. |
| dotnet-aspnet | ASP.NET Core web development skills including middleware, endpoints, real-time communication, and API patterns. |
Installation
🚀 Plugins - Copilot CLI / Claude Code
- Launch Copilot CLI or Claude Code
- Add the marketplace:
/plugin marketplace add dotnet/skills - Install a plugin:
/plugin install <plugin>@dotnet-agent-skills - Restart to load the new plugins
- View available skills:
/skills - View available agents:
/agents - Update plugin (on demand):
/plugin update <plugin>@dotnet-agent-skills
VS Code / VS Code Insiders (Preview)
[!IMPORTANT]
VS Code plugin support is a preview feature and subject to change. You may need to enable it first.
// settings.json
{
"chat.plugins.enabled": true,
"chat.plugins.marketplaces": ["dotnet/skills"]
}
Once configured, type /plugins in Copilot Chat or use the @agentPlugins filter in Extensions to browse and install plugins from the marketplace.
Codex CLI
Skills in this repository follow the agentskills.io open standard and are compatible with OpenAI Codex.
Install individual skills using the skill-installer CLI with the GitHub URL:
$ skill-installer install https://github.com/dotnet/skills/tree/main/plugins/<plugin>/skills/<skill-name>
⚡ Agentic Workflows
Some plugins include GitHub Agentic Workflow templates for CI/CD automation:
- Install the
gh awCLI extension - Copy the desired workflow
.mdfiles and theshared/directory to your repository's.github/workflows/ - Compile and commit:
gh aw compile - Commit both the
.mdand generated.lock.ymlfiles
Contributing
See CONTRIBUTING.md for contribution guidelines and how to add a new plugin.
License
See LICENSE for details.
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