🧠
AI EngineeringC#

Technology Selection

by dotnet

Technology Selection is an AI Engineering skill for Claude Code, published by dotnet in skills.

5.2K stars384 forkson dotnet/skillsAdded 2026/08/16Repository updated 2026/08/15
agent-skills
Install in seconds
Install Technology Selection
Copy Technology Selection into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/dotnet/skills/tree/main/plugins/dotnet-ai/skills/technology-selection ~/.claude/skills/technology-selection

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/dotnet/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
plugins/dotnet-ai/skills/technology-selection/SKILL.md in dotnet/skills
Installs to
~/.claude/skills/technology-selection
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Technology Selection does

Technology Selection helps developers choose the right .NET AI/ML stack (ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, ONNX Runtime, OllamaSharp) for classification, LLM integration, RAG, agentic workflows, and local inference in .NET 8+ projects.

Technology Selection is cataloged under AI Engineering on DirSkills. Technology Selection comes from a repository tagged agent-skills.

Documentation

README

.NET AI and Machine Learning

Inputs

Input Required Description
Task description Yes What the AI/ML feature should accomplish (e.g., "classify support tickets", "summarize documents")
Data description Yes Type and shape of input data (structured/tabular, unstructured text, images, mixed)
Deployment constraints No Cloud vs. local, latency SLO, cost budget, offline requirements
Existing project context No Current .csproj, existing packages, target framework

Workflow

Step 1: Classify the task using the decision tree

Evaluate the developer's task against this decision tree and select the appropriate technology. State which branch applies and why.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Technology Selection

  • What else does dotnet publish alongside Technology Selection?

    Technology Selection is one of 25 skills that DirSkills catalogs from dotnet/skills, the repository it ships in. Its siblings there include .NET P/Invoke, ASP.NET Core Web API and Agentic Workflows. Each one is a separate skill with its own page in this directory, installs the same way Technology Selection does, and is maintained by dotnet in that same repository. The rest of the collection is listed on the dotnet/skills page.

  • How does Technology Selection compare to other AI Engineering skills?

    Technology Selection ranks #497 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Technology Selection against them. Open each page to compare what they document and how they install.

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