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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

484 GitHub starsUpdated yesterday

Directory evidence

Runtimes
Codex and Claude Code
Parsed components
1 skill or MCP entry
Source updated
Sep 23, 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 IchenDEV/agent-plugin-mkt
codex plugin marketplace upgrade agent-plugin-marketplace
codex plugin add dotnet-ai@agent-plugin-marketplace

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

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/managedcode/dotnet-skills

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

Plugin files

external-sources/upstreams/dotnet-skills/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

external-sources/upstreams/dotnet-skills/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/"
  ]
}
external-sources/upstreams/dotnet-skills/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/"
  ]
}

For maintainers

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)