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Winui App

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openai
winui-app

Bootstrap, develop, and design modern WinUI 3 desktop applications with C# and the Windows App SDK using official Microsoft guidance, WinUI Gallery patterns, Windows App SDK samples, and CommunityToolkit components. Use when creating a brand new app, preparing a machine for WinUI, reviewing, refactoring, planning, troubleshooting, environment-checking, or setting up WinUI 3 XAML, controls, navigation, windowing, theming, accessibility, responsiveness, performance, deployment, or related Windows app design and development work.

Overview

Publisheropenai
Repositoryskills
Skill namewinui-app
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27.8K
Forks
1.9K
Bundled files
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  • 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.

  • 19 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openai on GitHub. Read the source before you install it.

Installation

Install the Winui App 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/openai/skills/tree/main/skills/.curated/winui-app
  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/openai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/.curated/winui-app .claude/skills/winui-app
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Winui App 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 Winui App 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 Winui App 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.

WinUI App

Use this skill for WinUI 3 and Windows App SDK work that needs grounded setup guidance, app bootstrap, modern Windows UX decisions, or concrete implementation patterns.

Required Flow

  1. Classify the task as environment/setup, new-app bootstrap, design, implementation, review, or troubleshooting.
  2. If the task is about preparing a machine for WinUI, auditing readiness, or creating a brand new app, start with the bundled setup-and-scaffold flow in this skill before broader design, implementation, or troubleshooting work:
    • Pick the app name when the request is for a new app.
    • Use the exact name the user gave when it is already a safe folder name.
    • If the user did not give a name, derive a short PascalCase name from the request and state what you chose.
    • Create the project in the user's current workspace unless they asked for another location.
    • Do not use --force unless the user explicitly asked to overwrite existing files.
    • Run the bundled WinGet configuration from the skill directory so the relative path stays exactly config.yaml:
powershell
winget configure -f config.yaml --accept-configuration-agreements --disable-interactivity
  • Treat the configuration as intended to enable Developer Mode, install or update Visual Studio Community 2026, and install the Managed Desktop, Universal, and Windows App SDK C# components needed for WinUI development.
  • Assess the configuration result before continuing. Continue on success. If it fails, inspect the output instead of guessing. If the winui template is already available and the toolchain is usable, note the partial failure and continue. If prerequisites are still missing, stop and report the blocker clearly.
  • Verify the template is available before scaffolding:
powershell
dotnet new list winui
  • For diagnostics-only environment requests, explain that the bundled bootstrap may change the machine and get confirmation before running it. If the user declines changes, use the manual verification guidance in references/foundation-environment-audit-and-remediation.md and summarize readiness under present, missing, uncertain, and recommended optional tools.
  • For a brand new app, scaffold with dotnet new winui -o <name>. Add template options only when the user asked for them. Supported options: -f|--framework net10.0|net9.0|net8.0, -slnx|--use-slnx, -cpm|--central-pkg-mgmt, -mvvm|--use-mvvm, -imt|--include-mvvm-toolkit, -un|--unpackaged, -nsf|--no-solution-file, --force. Do not invent unsupported flags. If the user asks for packaged behavior, pass --unpackaged false. Otherwise keep the template default.
  • Verify a new scaffold by confirming the expected project file exists and running dotnet build against the generated .csproj.
  • Launch a newly scaffolded app through the correct path for its actual packaging model and confirm there is a real top-level window instead of relying only on the launcher process exit code.
  1. Read references/_sections.md, then load only the reference files that match the task.
  2. Make the packaging model explicit before creating or refactoring the app. Default to packaged for Store-like product workflows and Visual Studio deploy/F5 flows. Default to unpackaged when the user expects repeatable CLI build-and-run loops or direct .exe launches after each change.
  3. When the task is an opaque XAML compiler failure such as MSB3073 or XamlCompiler.exe, read references/foundation-template-first-recovery.md and simplify back toward the current dotnet new winui scaffold for the chosen packaging model before inventing custom recovery structure.
  4. For any work that creates or changes a WinUI app, make a complete but minimal edit set, then build the app and run it before responding to the user. Do this by default even when the user did not explicitly ask for verification. If a running app instance locks the output while more work remains, stop it, rebuild, relaunch, and continue verification. When the work is complete and launch verification succeeds, leave the final verified app instance running for the user unless they explicitly asked you not to.
  5. Treat launch verification as incomplete until the app shows objective success signals such as a responsive top-level window, expected window title, or other clear startup behavior. A spawned process by itself is not enough.
  6. Prefer Microsoft Learn for requirements, API expectations, and platform guidance.
  7. Prefer WinUI Gallery for concrete control usage, shell composition, and design details.
  8. Prefer WindowsAppSDK-Samples for scenario-level APIs such as windowing, lifecycle, notifications, deployment, and custom controls.
  9. Build toward WinUI and Fluent guidance first. Treat native WinUI shells, controls, interactions, and control chrome as the default implementation path.
  10. For grouped command surfaces such as document actions, editor formatting, view toggles, or page-level toolbars, favor a native CommandBar or other stock WinUI command surface before building a custom row with Grid, StackPanel, Border, or ad hoc button groupings.
  11. Do not invent app-specific controls, bespoke component libraries, or custom chrome to replace stock WinUI behavior unless the user explicitly asks for that customization, the existing product design system already requires it, or a verified platform gap leaves no clean native option.
  12. When customization is needed, first compose, template, or restyle built-in WinUI controls and system resources before adding CommunityToolkit dependencies or authoring a new custom control.
  13. Use CommunityToolkit only when built-in WinUI controls or helpers do not cover the need cleanly.
  14. Support both light and dark mode by default. Treat single-theme output as an exception that requires an explicit user request or an existing product constraint.
  15. Use theme-aware resources, system brushes, and WinUI styling hooks instead of hard-coded light-only or dark-only colors when building or revising UI.
  16. Make scroll ownership explicit for collection layouts. When a page already scrolls vertically, do not assume a nested GridView or other scroll-owning collection will still render a horizontal poster rail correctly.
  17. Do not add extra Border wrappers around sections, lists, or cards unless the border is doing distinct work that the contained control or parent surface does not already provide. Avoid "double-card" compositions where a section Border wraps child items that already render as cards.
  18. Treat responsiveness as a shell-plus-page problem, not only a control-resize problem. Plan explicit wide, medium, and phone-width behavior for navigation, padding, content density, and footer/tool regions, and simplify or hide nonessential UI as width shrinks.

Common Routes

RequestRead first
Check whether this PC can build WinUI appsreferences/foundation-environment-audit-and-remediation.md
Install missing WinUI prerequisitesreferences/foundation-environment-audit-and-remediation.md
Start a new packaged or unpackaged appreferences/foundation-setup-and-project-selection.md
Recover from opaque XAML compiler or startup failures while staying anchored to the template scaffoldreferences/foundation-template-first-recovery.md
Build, run, or verify that a WinUI app actually launchedreferences/build-run-and-launch-verification.md
Review app structure, pages, resources, and bindingsreferences/foundation-winui-app-structure.md
Choose shell, navigation, title bar, or multi-window patternsreferences/shell-navigation-and-windowing.md
Choose controls or responsive layout patternsreferences/controls-layout-and-adaptive-ui.md
Apply Mica, theming, typography, icons, or Fluent stylingreferences/styling-theming-materials-and-icons.md
Improve accessibility, keyboarding, or localizationreferences/accessibility-input-and-localization.md
Diagnose responsiveness or UI-thread performancereferences/performance-diagnostics-and-responsiveness.md
Decide whether to use CommunityToolkitreferences/community-toolkit-controls-and-helpers.md
Handle lifecycle, notifications, or deploymentreferences/windows-app-sdk-lifecycle-notifications-and-deployment.md
Run a review checklistreferences/testing-debugging-and-review-checklists.md

Environment Rules

  • Do not guess whether the machine is ready for WinUI development. Verify it.
  • Use the bundled setup-and-scaffold flow in this skill for fresh setup, remediation, and first-project scaffolding instead of delegating to another skill.
  • Treat config.yaml in this skill directory as the bundled bootstrap source of truth.
  • Treat uncertain environment signals as uncertain, not as success.
  • If the task is audit-only and the user declines machine changes, use the manual verification guidance in references/foundation-environment-audit-and-remediation.md and keep uncertain signals explicit instead of implying success.
  • If config.yaml is missing, say so clearly and fall back to the official Microsoft workflow instead of pretending the bundled path exists.
  • Keep environment readiness, packaging choice, and application startup verification as separate checks. Passing one does not prove the others.
  • Fail closed on ambiguous launch results. If the app did not clearly open, keep debugging.
  • After creating or editing a WinUI app, do not stop at a successful build. Launch the app, confirm objective startup behavior, and leave the final verified app instance running before returning control to the user unless they explicitly say not to run it.

Reference Rules

  • Keep C# as the primary path. Mention C++ or C++/WinRT only when the difference is material.
  • Preserve the conventions of an existing codebase instead of forcing a generic sample structure onto it.
  • Treat WinUI design guidance and native controls as the baseline. Do not drift into bespoke component systems or app-specific replacements for standard controls unless the user explicitly requests them or the existing codebase already depends on them.
  • Support light and dark mode by default for app UI work unless the user explicitly asks for a single-theme result or the product already enforces one.
  • Favor built-in WinUI controls and system styling hooks before adding CommunityToolkit dependencies, custom controls, or app-specific surface systems.
  • Put detailed control, theming, shell, scrolling, responsiveness, packaging, and recovery guidance in the matching reference files instead of duplicating those rules here.

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 Winui App AI skill do?

Bootstrap, develop, and design modern WinUI 3 desktop applications with C# and the Windows App SDK using official Microsoft guidance, WinUI Gallery patterns, Windows App SDK samples, and CommunityToolkit components. Use when creating a brand new app, preparing a machine for WinUI, reviewing, refactoring, planning, troubleshooting, environment-checking, or setting up WinUI 3 XAML, controls, navigation, windowing, theming, accessibility, responsiveness, performance, deployment, or related Windows app design and development work.

Why use Winui App on TypingMind?

Because you install it once and use it with any model. Winui App 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 Winui App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openai/skills/tree/main/skills/.curated/winui-app. 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 Winui App?

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 Winui App?

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

Is the Winui App AI skill free?

It is published on GitHub by openai. Check the repository for licensing terms. 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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