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dotnet-ai

v0.1.6

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

CodexClaude Code1 Skill

5.6k GitHub starsUpdated 4 hours ago

Directory evidence

Runtimes
Codex and Claude Code
Parsed components
1 skill or MCP entry
Source updated
Oct 4, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install dotnet-ai for Codex and Claude Code

Installs for the current user
codex plugin marketplace add dotnet/skills
codex plugin marketplace upgrade dotnet-agent-skills
codex plugin add dotnet-ai@dotnet-agent-skills

Paste and run these commands in a terminal with Codex. They add and refresh the dotnet-agent-skills catalog, then install this plugin.

Compatibility: the page URL and API slug “dotnet-ai-2” remain stable.

  • Codex: dotnet-ai-2@agent-plugin-marketplace → dotnet-ai@dotnet-agent-skills

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/dotnet/skills

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/dotnet-ai/.

Plugin files

plugins/dotnet-ai/
├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
└── skills/technology-selection/SKILL.md

Included Skills1

technology-selectionskills/technology-selection/SKILL.md

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).

Plugin manifests2

plugins/dotnet-ai/.codex-plugin/plugin.json
{
  "name": "dotnet-ai",
  "version": "0.1.6",
  "description": "AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.",
  "skills": [
    "./skills/"
  ]
}
plugins/dotnet-ai/.claude-plugin/plugin.json
{
  "name": "dotnet-ai",
  "version": "0.1.6",
  "description": "AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.",
  "skills": [
    "./skills/"
  ]
}

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[dotnet-ai on Agent Plugins Marketplace](https://pluginsmp.com/plugins/dotnet-ai-2)