Dotnet Testing

Organization

novotnyllc

dotnet-testing

Defines .NET test strategy and implementation patterns across xUnit v3 (Facts, Theories, fixtures, IAsyncLifetime), integration testing (WebApplicationFactory, Testcontainers), Aspire testing (DistributedApplicationTestingBuilder), snapshot testing (Verify, scrubbing), Playwright E2E browser automation, BenchmarkDotNet microbenchmarks, code coverage (Coverlet), mutation testing (Stryker.NET), UI testing (page objects, selectors), and AOT WASM test compilation. Spans 13 topic areas. Do not use for production API architecture or CI workflow authoring.

Overview

Publisher	novotnyllc
Repository	`dotnet-artisan`
Skill name	`dotnet-testing`
Stars	235
Forks	14
Bundled files	14
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
14 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by novotnyllc on GitHub. Read the source before you install it.

Installation

Install the Dotnet Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/novotnyllc/dotnet-artisan/tree/main/plugins/dotnet-artisan/skills/dotnet-testing
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/novotnyllc/dotnet-artisan/tree/main/plugins/dotnet-artisan/skills/dotnet-testing

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/novotnyllc/dotnet-artisan.git /tmp/dotnet-artisan
mkdir -p .claude/skills
cp -r /tmp/dotnet-artisan/plugins/dotnet-artisan/skills/dotnet-testing .claude/skills/dotnet-testing

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dotnet Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dotnet Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dotnet Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

dotnet-testing

Overview

Testing strategy, frameworks, and quality tooling for .NET applications. This consolidated skill spans 13 topic areas. Load the appropriate companion file from references/ based on the routing table below.

Baseline dependency: references/testing-strategy.md defines the unit vs integration vs E2E decision tree and test doubles selection that inform all testing decisions. Load it by default whenever a testing approach needs to be chosen.

Most-shared companion: references/xunit.md covers xUnit v3 framework features used by integration, snapshot, and UI testing companions.

Routing Table

Topic	Keywords	Description	Companion File
Strategy	unit vs integration vs E2E, test doubles	Unit vs integration vs E2E decision tree, test doubles selection	references/testing-strategy.md
xUnit	Facts, Theories, fixtures, parallelism	xUnit v3 Facts, Theories, fixtures, parallelism, IAsyncLifetime	references/xunit.md
Integration	WebApplicationFactory, Testcontainers, Aspire	WebApplicationFactory, Testcontainers, Aspire, database fixtures	references/integration-testing.md
Snapshot	Verify, scrubbing, API responses	Verify library, scrubbing, custom converters, HTTP response snapshots	references/snapshot-testing.md
Playwright	E2E browser, CI caching, trace viewer	Playwright E2E browser automation, CI caching, trace viewer, codegen	references/playwright.md
BenchmarkDotNet	microbenchmarks, memory diagnosers	BenchmarkDotNet microbenchmarks, memory diagnosers, baselines	references/benchmarkdotnet.md
CI benchmarking	threshold alerts, baseline tracking	CI benchmark regression detection, threshold alerts, baseline tracking	references/ci-benchmarking.md
Test quality	Coverlet, Stryker.NET, flaky tests	Coverlet code coverage, Stryker.NET mutation testing, flaky tests	references/test-quality.md
Add testing	scaffold xUnit project, coverlet, layout	Scaffold xUnit project, coverlet setup, directory layout	references/add-testing.md
Slopwatch	LLM reward hacking detection	Slopwatch CLI for LLM reward hacking detection	references/slopwatch.md
AOT WASM	Blazor/Uno WASM AOT, size, lazy loading	Blazor/Uno WASM AOT compilation, size vs speed, lazy loading, Brotli	references/aot-wasm.md
UI testing core	page objects, selectors, async waits	Page object model, test selectors, async waits, accessibility testing	references/ui-testing-core.md
Aspire testing	DistributedApplicationTestingBuilder, Aspire test host	Aspire test host, service HTTP clients, resource health	references/aspire-testing.md

Scope

Test strategy and architecture (unit, integration, E2E)
xUnit v3 test authoring
Integration testing (WebApplicationFactory, Testcontainers)
E2E browser testing (Playwright)
Snapshot testing (Verify)
Benchmarking (BenchmarkDotNet, CI gating)
Quality (coverage, mutation testing)
Cross-framework UI testing patterns
Test scaffolding

Out of scope

UI framework-specific testing (bUnit, Appium) -> dotnet-ui
CI/CD pipeline configuration -> dotnet-devops
Performance profiling -> dotnet-tooling

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dotnet Testing AI skill do?

Why use Dotnet Testing on TypingMind?

Because you install it once and use it with any model. Dotnet Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dotnet Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/novotnyllc/dotnet-artisan/tree/main/plugins/dotnet-artisan/skills/dotnet-testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dotnet Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dotnet Testing?

As many as you like. As long as a model supports skills, you can use Dotnet Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dotnet Testing AI skill free?

Yes. It is published on GitHub by novotnyllc under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

dotnet-testing

Overview

Routing Table

Scope

Out of scope

Bundled files

Frequently asked questions

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