winui-search: Grounded WinUI Control Samples Before You Write XAML
winui-search is a native command-line tool that searches a curated corpus of WinUI 3 interface samples. Instead of recalling how a control is declared, you run a focused query and it returns matching controls with scenario identifiers, then fetches the full XAML and C# for the ones you pick. The corpus is drawn from the WinUI 3 Gallery, every Windows Community Toolkit scenario, and a set of platform integration patterns such as file pickers, sharing, and drag-and-drop. Its purpose is simple: ground every control choice in a shipping sample before markup is written, so property names, namespaces, and structure come from working code rather than memory.
The tool fits into a wider Windows development loop rather than replacing it. Where UI automation harnesses such as Windows Application Driver exercise an app that already runs, winui-search works earlier, at authoring time, and stays deliberately narrow: it covers WinUI 3 and toolkit material, not WPF or WinForms samples. It was built to be driven by coding agents as much as by people. Microsoft's WinUI agent plugin ships it alongside skills that require a catalogue lookup before any XAML is produced, which keeps generated interfaces consistent with the Fluent patterns the platform actually ships. Developers can run exactly the same queries by hand when reviewing a page or hunting for an unfamiliar control.
Benefits of Using winui-search
The clearest benefit of winui-search is fewer invented property names. Because every result traces back to a sample that compiles, you spend less time fixing XAML that looked plausible and more time on the interface itself. Focused queries also keep the workflow quick: batching several features into one search call and fetching up to three scenarios at once removes the back-and-forth of opening a gallery app or a browser tab. An embedded snapshot means the index works offline, with refreshes layered on top when a network is available, so a build machine or sandbox never stalls. Ranking behaviour rewards specific phrasing, which nudges users toward one control or pattern per query and produces noticeably sharper shortlists. For teams using agents, the payoff compounds: grounded lookups cut the retry loops that consume tokens and review time, and pitfall notes attached to fetch results flag the mistakes that are easy to repeat. The tool also gets out of the way once it has done its job, since it returns code to copy rather than a new process to maintain.
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