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Dotnet Ui

Organization
novotnyllc
dotnet-ui

Builds .NET UI apps across Blazor (Server, WASM, Hybrid, Auto), MAUI (XAML, MVVM, Shell, Native AOT), Uno Platform (MVUX, Extensions, Toolkit), WPF (.NET 8+, Fluent theme), WinUI 3 (Windows App SDK, MSIX, Mica/Acrylic, adaptive layout), and WinForms (high-DPI, dark mode) with JS interop, accessibility (SemanticProperties, ARIA), localization (.resx, RTL), platform bindings (Java.Interop, ObjCRuntime), and framework selection. Spans 20 topic areas. Do not use for backend API design or CI/CD pipelines.

Overview

Publishernovotnyllc
Repositorydotnet-artisan
Skill namedotnet-ui
Stars
235
Forks
14
Bundled files
21
LicenseMIT
Links
  • 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.

  • 21 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 Ui AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/novotnyllc/dotnet-artisan/tree/main/plugins/dotnet-artisan/skills/dotnet-ui
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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-ui .claude/skills/dotnet-ui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dotnet Ui 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 Ui 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 Ui 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-ui

Overview

.NET UI development across Blazor, MAUI, Uno Platform, WPF, WinUI 3, and WinForms. This skill covers framework selection, component architecture, XAML patterns, MVVM, platform-specific deployment, accessibility, and localization. Each framework area has a dedicated companion file with deep guidance.

Routing Table

TopicKeywordsDescriptionCompanion File
Blazor patternshosting model, render mode, routing, streaming, prerenderHosting models, render modes, routing, streaming, prerendering, AOT-safe patternsreferences/blazor-patterns.md
Blazor componentslifecycle, state, JS interop, EditForm, QuickGridLifecycle methods, state management, JS interop, EditForm, QuickGridreferences/blazor-components.md
Blazor authAuthorizeView, Identity UI, OIDC flowsLogin/logout flows, AuthorizeView, Identity UI, OIDC, role and policy authreferences/blazor-auth.md
Blazor testingbUnit, rendering, events, JS mockingbUnit component rendering, events, cascading params, JS interop mockingreferences/blazor-testing.md
MAUI developmentproject structure, XAML, MVVM, platform servicesProject structure, XAML/MVVM patterns, Shell navigation, platform servicesreferences/maui-development.md
MAUI AOTiOS/Catalyst, Native AOT, trimmingiOS/Catalyst Native AOT pipeline, size/startup gains, library compatibilityreferences/maui-aot.md
MAUI testingAppium, XHarness, platform validationAppium 2.x device automation, XHarness, platform validationreferences/maui-testing.md
Uno PlatformExtensions, MVUX, Toolkit, Hot ReloadExtensions ecosystem, MVUX pattern, Toolkit controls, Hot Reloadreferences/uno-platform.md
Uno targetsWASM, iOS, Android, macOS, Windows, LinuxPer-target guidance for WASM, iOS, Android, macOS, Windows, Linuxreferences/uno-targets.md
Uno MCPtool detection, search-then-fetch, initMCP tool detection, search-then-fetch workflow, init rules, fallbackreferences/uno-mcp.md
Uno testingPlaywright WASM, platform patternsPlaywright for WASM, platform-specific test patterns, runtime headsreferences/uno-testing.md
WPF modernHost builder, MVVM Toolkit, Fluent themeHost builder, MVVM Toolkit, Fluent theme, performance, modern C#references/wpf-modern.md
WPF migrationWPF/WinForms to .NET 8+, UWP to WinUIWPF/WinForms to .NET 8+, UWP to WinUI, Upgrade Assistantreferences/wpf-migration.md
WinUIWindows App SDK, XAML, MSIX/unpackagedWindows App SDK, x:Bind, x:Load, MSIX/unpackaged, UWP migrationreferences/winui.md
WinFormshigh-DPI, dark mode, DI, modernizationHigh-DPI scaling, dark mode, DI patterns, modernizationreferences/winforms-basics.md
AccessibilitySemanticProperties, ARIA, AutomationPeerSemanticProperties, ARIA attributes, AutomationPeer, per-platform testingreferences/accessibility.md
Localization.resx, IStringLocalizer, pluralization, RTL.resx resources, IStringLocalizer, source generators, pluralization, RTLreferences/localization.md
WinUI controls/stylingCommandBar, GridView, adaptive triggers, Mica, system brushes, iconsWinUI control selection, adaptive layout, theming, materials, typographyreferences/winui-controls-styling.md
UI chooserframework selection decision treeDecision tree across Blazor, MAUI, Uno, WinUI, WPF, WinFormsreferences/ui-chooser.md
Platform bindingsJava.Interop, ObjCRuntime, Android AAR, iOS XCFramework, Slim BindingCustom native SDK bindings for Android and Apple platformsreferences/platform-bindings.md

Scope

  • Blazor (Server, WASM, Hybrid, Auto) hosting models and components
  • MAUI mobile/desktop development and Native AOT
  • Uno Platform cross-platform development and MCP integration
  • WPF on .NET 8+ and migration from .NET Framework
  • WinUI 3 / Windows App SDK
  • WinForms modernization (high-DPI, dark mode, DI)
  • Accessibility across all UI frameworks
  • Localization (.resx, IStringLocalizer, pluralization, RTL)
  • UI framework selection decision tree

Out of scope

  • Server-side auth middleware and API security configuration -- see dotnet-api
  • Non-UI testing strategy (unit, integration, E2E architecture) -- see dotnet-testing
  • Cross-framework UI test patterns (page objects, selectors) -- see dotnet-testing
  • Playwright browser automation (non-framework-specific) -- see dotnet-testing
  • Backend API patterns and architecture -- see dotnet-api
  • Native AOT compilation (non-MAUI) -- see dotnet-tooling
  • Console UI (Terminal.Gui, Spectre.Console) -- see 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 Ui AI skill do?

Builds .NET UI apps across Blazor (Server, WASM, Hybrid, Auto), MAUI (XAML, MVVM, Shell, Native AOT), Uno Platform (MVUX, Extensions, Toolkit), WPF (.NET 8+, Fluent theme), WinUI 3 (Windows App SDK, MSIX, Mica/Acrylic, adaptive layout), and WinForms (high-DPI, dark mode) with JS interop, accessibility (SemanticProperties, ARIA), localization (.resx, RTL), platform bindings (Java.Interop, ObjCRuntime), and framework selection. Spans 20 topic areas. Do not use for backend API design or CI/CD pipelines.

Why use Dotnet Ui on TypingMind?

Because you install it once and use it with any model. Dotnet Ui 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 Ui 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-ui. 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 Ui?

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 Ui?

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

Is the Dotnet Ui 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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