winui-code-review

Codequalitätsüberprüfung für WinUI 3-Apps — MVVM-Konformität, x:Bind-Korrektheit, Barrierefreiheit, Theming, Sicherheit und Leistung. Vor dem Commit verwenden, um … zu erkennen.

npx skills add https://github.com/microsoft/win-dev-skills --skill winui-code-review

When to Use

Run a code review after the app builds and before committing. This catches quality issues that aren't build errors and aren't visible in UI tests — patterns that compile and run but are wrong, fragile, or slow.

How to Review

Read through the project's XAML and C# files and check each section below. The Microsoft.WindowsAppSDK.Analyzers Roslyn analyzer ships with the winui-dev-workflow skill and is injected when BuildAndRun.ps1 calls project-mode winapp run. The wrapper supplies a temporary file through the environment-backed MSBuild CustomAfterDirectoryBuildProps hook, preserving SDK composition and each project's normal Directory.Build.props discovery (including referenced projects), then restores the environment and removes the temporary file. Plain winapp run, dotnet build, and Visual Studio do not load the analyzer automatically; to enable it outside the wrapper, add the <Analyzer Include="..." /> and <Import Project="..." /> entries to the project's own Directory.Build.props (or wait for the planned NuGet package).

The analyzer catches a curated set of WinUI 3 / Windows App SDK issues with categorized 4-digit IDs:

  • WUI0xxx — UWP → WinUI 3 API compatibility (UwpXamlNamespace, Window.Current, CoreDispatcher, GetForCurrentView)
  • WUI1xxx — Migration-table data-driven hints (UWP API has WinAppSDK equivalent, no equivalent, feature-area hint)
  • WUI2xxx — Runtime / layout / XAML pitfalls (raw TabView content, nested x:Bind without fallback, x:Bind without Mode, null Converter, missing AutomationId, attached-property syntax)
  • WUI3xxx — MVVM patterns (old [ObservableProperty] field syntax)
  • WUI4xxx — Interop (WebView2 not initialized, removed ONNX Runtime GenAI APIs WUI4101-WUI4103)

Every diagnostic ships at Warning severity (no rule is Error) and includes a helpLinkUri. Suppress noise with #pragma warning disable WUIxxxx or <NoWarn> as usual — the analyzer's SuppressionTests verify that pragma suppression round-trips correctly.

MVVM Compliance

  • ViewModels extend ObservableObject, use [ObservableProperty] partial properties (not fields)
  • Commands use [RelayCommand] attribute, not manual ICommand implementations
  • No UI types in ViewModels (SolidColorBrush, Visibility, BitmapImage) — these belong in converters or XAML
  • No business logic in code-behind — only navigation, dialog coordination, and event wiring
  • async Task for async methods, async void only for event handlers
  • Never replace ObservableCollection<T> — use .Clear() + re-add

x:Bind and Data Binding

  • All bindings use {x:Bind}, not {Binding}
  • Mode=OneWay or TwoWay set explicitly — OneTime default causes blank UI for dynamic data
  • x:DataType set on every DataTemplate — required for compiled x:Bind
  • No nested nullable paths (e.g., ViewModel.Selected.Name) without FallbackValue
  • Command bindings can use OneTime (commands don't change) — don't add Mode=OneWay to Command="{x:Bind}"

Accessibility

  • AutomationProperties.AutomationId on every interactive control (Button, TextBox, ComboBox, ToggleSwitch, ListView, NavigationViewItem)
  • AutomationProperties.Name on icon-only buttons and controls without visible text
  • Semantic controls (Button, HyperlinkButton) — not clickable Border/TextBlock
  • No information conveyed by color alone

Theming

  • All colors use {ThemeResource} brushes — no hardcoded #FF0000 or Color="Blue"
  • Typography uses built-in styles (TitleTextBlockStyle, SubtitleTextBlockStyle, BodyTextBlockStyle, CaptionTextBlockStyle) — no raw FontSize
  • Spacing uses 4px grid multiples (4, 8, 12, 16, 24, 32, 48)
  • Corner radius uses ControlCornerRadius / OverlayCornerRadius — not hardcoded values
  • Styles referenced with {StaticResource} not {ThemeResource} (except for brush usage sites)

Security

  • No secrets, API keys, or tokens in source code
  • No Process.Start with unsanitized user input
  • External input validated and sanitized before use
  • File paths from user input not used directly in File.Delete / File.WriteAllText without validation

Performance

  • Long or dynamic lists use ListView/GridView (virtualized), not StackPanel with foreach
  • x:Load for content that's not always visible (e.g., dialogs, secondary panels)
  • Heavy work off UI thread via Task.Run or async/await — never block UI
  • No .Result / .Wait() / .GetAwaiter().GetResult() — these deadlock the UI thread
  • using statements on all disposable objects (Model, Tokenizer, InferenceSession, Generator)

Globalization

  • User-facing strings use x:Uid in XAML and ResourceLoader in C# — not hardcoded
  • String resources in Strings/en-us/Resources.resw (not .resx)
  • Date/number formatting uses CultureInfo.CurrentCulture — not hardcoded formats
  • Layout supports RTL (FlowDirection inherited from root, no absolute positioning that breaks in RTL)
  • No string concatenation for user-facing messages — use string.Format or interpolation with resource strings

Review Report

After reviewing, summarize:

  1. Issues found: List each with file, line, and what's wrong
  2. Severity: Error (must fix), Warning (should fix), or Note (could improve)
  3. Suggested fixes: Specific code changes for each issue

References

For detailed rules with code examples, see references/quality-rules.md — covers performance deep dives (x:Phase, layout optimization), security (PasswordVault, DPAPI, WebView2 hardening), accessibility (keyboard nav, screen readers), code quality (.editorconfig, naming), and globalization (x:Uid patterns, RTL, pluralization).

Mehr Skills von microsoft

oss-growth
microsoft
OSS-Wachstums-Hacker-Persona
agent-framework-azure-ai-py
microsoft
Erstellen Sie Azure AI Foundry-Agents mit dem Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Verwenden Sie dies beim Erstellen persistenter Agents mit AzureAIAgentsProvider, bei der Nutzung gehosteter Tools (Code-Interpreter, Dateisuche, Websuche), bei der Integration von MCP-Servern, bei der Verwaltung von Konversationsthreads oder bei der Implementierung von Streaming-Antworten. Umfasst Funktionstools, strukturierte Ausgaben und Multi-Tool-Agents.
development
airunway-aks-setup
microsoft
Richte AI Runway auf AKS ein – vom leeren Cluster bis zum laufenden Modell. Umfasst Cluster-Überprüfung, Controller-Installation, GPU-Bewertung, Provider-Einrichtung und erste Bereitstellung. WANN: „AI Runway einrichten“, „AKS-Cluster onboarden“, „AI Runway installieren“, „airunway setup“, „Modell auf AKS bereitstellen“, „GPU-Inferenz auf AKS“, „KAITO-Setup auf AKS“, „LLM auf AKS ausführen“, „vLLM auf AKS“, „Modell-Serving auf AKS einrichten“, „AI Runway-Controller“.
devops
appinsights-instrumentation
microsoft
Leitfaden zur Instrumentierung von Webanwendungen mit Azure Application Insights. Bietet Telemetriemuster, SDK-Einrichtung und Konfigurationsreferenzen. WANN: wie man eine App instrumentiert, App Insights SDK, Telemetriemuster, was ist App Insights, Application Insights-Anleitung, Instrumentierungsbeispiele, APM-Best Practices.
devops
applicationinsights-web-ts
microsoft
Instrumentieren Sie Browser-/Web-Apps mit dem Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Verwenden Sie es für Real User Monitoring (RUM) – Seitenaufrufe, Klicks, AJAX/Fetch-Abhängigkeiten, Ausnahmen, benutzerdefinierte Ereignisse und browser-seitige GenAI-Agent-Traces, die mit Backend-OpenTelemetry-Traces korreliert werden. Umfasst SDK-Loader-Skript und npm-Setup, Framework-Erweiterungen (React, React Native, Angular), Click Analytics, Telemetrie-Initialisierer und OTel-GenAI-Semantik-Konventionen für Agent-/Tool-/Modell-Spans, die vom Browser ausgegeben werden.
devops
azure-ai-anomalydetector-java
microsoft
Erstellen Sie Anomalieerkennungsanwendungen mit dem Azure AI Anomaly Detector SDK für Java. Verwenden Sie dies bei der Implementierung von univariater/multivariater Anomalieerkennung, Zeitreihenanalyse oder KI-gestützter Überwachung.
development
azure-ai-language-conversations-py
microsoft
Implementieren Sie Conversational Language Understanding (CLU) mit dem azure-ai-language-conversations Python SDK. Verwenden Sie dies, wenn Sie mit ConversationAnalysisClient arbeiten, um Gesprächsabsichten und Entitäten zu analysieren, NLP-Funktionen zu erstellen oder Sprachverständnis in Anwendungen zu integrieren.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 für Python. Verwenden für ML-Workspaces, Jobs, Modelle, Datensätze, Compute und Pipelines. Auslöser: „azure-ai-ml“, „MLClient“, „Workspace“, „Modell-Registry“, „Trainings-Jobs“, „Datensätze“.
development