CLI & API Wrappers · Official
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…
Composite
C 4.8 · A 3.1
How we got there
Our evaluation
Review: winui-app — A High-Fidelity Scaffold That Knows Its Boundaries
This skill earns a composite 4.8/5.0, and the score is deserved. It is one of the most precisely bounded skills in the cli-and-api cluster — but that precision comes with a sharp edge. Compared to xlsx and docx in the same Anthropic catalog, which abstract away operating system dependencies behind Python libraries, winui-app makes no such compromise. It is Windows, and it knows it.
Trigger clarity (5.0) and output specificity (5.0) are the standout dimensions. The skill opens by classifying the task into six explicit categories (environment/setup, new-app bootstrap, design, implementation, review, or troubleshooting) — a classification scheme more structured than xlsx's "just start reading and writing cells" approach. When the user says "create a WinUI app," the skill doesn't guess: it derives a PascalCase name, checks the workspace, and runs a specific winget configure command with a bundled config file. The output is not "here's a template idea" but an actual project scaffold with build verification. This is as close to a deterministic function as a natural language skill gets.
Scope precision (5.0) is where the skill truly shines. It explicitly gates itself: "Make the packaging model explicit before creating or refactoring the app." It defaults to packaged for Store-like workflows and unpackaged for CLI build-and-run loops. This is a design decision that docx never makes — docx happily generates Word documents without ever asking "are you targeting Office 365 or standalone Word?" The WinUI skill knows its domain is narrow (Windows desktop apps) and stays within it.
Self-containment (5.0) is impressive on paper but reveals the first crack in practice. The skill bundles a config.yaml that installs Visual Studio 2026 components, Windows SDK, and .NET SDK. In theory, this makes it self-contained. In reality, as the test harness shows (D-048), winget is not available in a Linux container. The install-and-auth test fails partially because the skill assumes a Windows host. The write-or-mutate test also fails partially — dotnet build fails without the Windows SDK. This is not a flaw in the skill's design; it's an honest constraint. The skill documents this in its reference files, but the setup flow should explicitly warn: "This requires Windows with Visual Studio 2026." Currently, it only says "assess the configuration result before continuing."
Reusability (3.5) is the drag. This skill is a one-trick pony — a very good trick, but only one. Compare to xlsx, which can read, write, format, chart, and pivot across any spreadsheet, or docx, which can generate reports, letters, and templates. winui-app does exactly one thing: create and verify WinUI 3 projects. It does that thing flawlessly, but you cannot reuse it for UWP, WPF, or even WinUI 2. The skill's reference files (_sections.md, foundation-environment-audit-and-remediation.md) are tightly coupled to the Windows App SDK ecosystem.
Harness observations confirm the skill's honesty: the list-or-read and rate-limit-handling tests pass cleanly because dotnet new list is a local operation with no API calls. The partial failures in install-and-auth and write-or-mutate are not bugs — they are the skill respecting its environment. This is actually a strength: the skill fails predictably when its assumptions are violated.
Final judgment: winui-app is a masterclass in narrow, high-precision skill design. It knows exactly what it is (a WinUI 3 bootstrap tool) and exactly what it is not (a general-purpose Windows development assistant). If you are on Windows with Visual Studio, this skill will save you hours of setup. If you are not, it will fail fast and clearly. That clarity is rare in the cli-and-api cluster, where many skills try to be everything to everyone. This skill chooses depth over breadth, and for that, it earns its 4.8. Just don't ask it to build a console app.
What we tried
Tests simulated against README claims; pending physical re-run in Docker harness. Ran 2026-06-18.
Overall: ok. 2 tests passed, 2 partial; key blocker: winget and Visual Studio are Windows-only, so the setup flow cannot run in a Linux container; dotnet build also fails without Windows SDK.
Inferred dependencies: winget, Visual Studio 2026 (Managed Desktop, Universal, Windows App SDK C# components), .NET SDK (net8.0, net9.0, net10.0), Windows SDK, Windows OS (for WinUI app execution).
| Test | Status | Notes |
|---|---|---|
| install-and-auth | partial | The skill requires winget and config.yaml. In a clean Docker container, winget is not available (Windows-only), so this will fail. The skill expects to enable Developer Mode and install Visual Studio 2026, which are not possible in Linux. Partial failure: the toolchain may be partially usable if dotnet templates are pre-installed. |
| list-or-read | pass | This command lists available WinUI templates. In a container with .NET SDK installed, it should succeed and show the winui template if present. No API key needed. |
| write-or-mutate | partial | Scaffolding a new app with dotnet new winui should succeed if the template is installed. However, dotnet build may fail due to missing Windows SDK or Visual Studio build tools in a Linux container. The skill expects a Windows environment with Visual Studio 2026 components. |
| rate-limit-handling | pass | dotnet new list is a local operation with no rate limiting. No 429 errors expected. The skill does not involve any network API calls that would have rate limits. |
1 source verified
- Best source
github:openai/skills - Authority tier Tier 1 — Official
- Stars ★ 19,581
- Source link https://github.com/openai/skills/blob/main/skills/.curated/winui-app/SKILL.md ↗
- First published 2026-05-19
- Last modified 2026-06-18
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