279 skills
Guide for the visual style, structure, and shared building blocks used by Semantic Link Labs interactive UI tools (HTML widgets and anywidget-based widgets). Use this when adding a new interactive UI, modifying an existing one, or adding shared visual components.
Add dock band support to your Command Palette extension for persistent toolbar widgets. Use when asked to add dock support, toolbar buttons, persistent UI widgets, taskbar integration, live-updating status displays, quick-access buttons, or always-visible controls. Supports single buttons, multi-button strips, and live-updating content.
Create form-based UI for your Command Palette extension using Adaptive Cards. Use when asked to add forms, user input fields, toggle switches, text inputs, dropdown menus, data entry, surveys, configuration dialogs, or interactive content pages. Supports the Adaptive Cards Designer for visual form building.
Guide for migrating PowerToys modules from WPF to WinUI 3 (Windows App SDK). Use when asked to migrate WPF code, convert WPF XAML to WinUI, replace System.Windows namespaces with Microsoft.UI.Xaml, update Dispatcher to DispatcherQueue, replace DynamicResource with ThemeResource, migrate imaging APIs from System.Windows.Media.Imaging to Windows.Graphics.Imaging, convert WPF Window to WinUI Window, migrate .resx to .resw resources, migrate custom Observable/RelayCommand to CommunityToolkit.Mvvm source generators, handle WPF-UI (Lepo) to WinUI native control migration, or fix installer/build pipe
Microsoft FTE-only workflow for validating setup, queueing, autonomously waiting for, and stabilizing PowerToys UI Test Automation through an existing Azure CLI session and Azure DevOps REST APIs. Use after local VM suites pass, when asked to run UITests CI, perform a setup preflight/readiness check, diagnose repeated az login prompts or 401/403 permission failures, reuse a successful build, inspect recordings/artifacts, or manage the three-run limit. Includes an agent-owned foreground completion waiter. Keywords: FTE, az, Azure CLI, Azure DevOps, pipeline, UI Test Automation, UITests CI, buil
Migrate and stabilize PowerToys UI tests from WinAppDriver/Selenium to Microsoft.PowerToys.UITest.Next and winappcli. Use for ports, new UITest projects, flaky CI tests, persistent local-VM validation on Hyper-V, resettable clean-baseline runs, Settings IPC authentication/test signing, Explorer/Shell selection, preview handlers, thumbnail providers, hotkey activation, stateful process lifecycle, composed WinUI/WebView visual baselines, or cross-window/foreground failures. Covers APIs, scaffolding, test design, diagnostics, agentic execution, and CI hardening. Keywords: UI test, UITests, UITest
Set up and run PowerToys UITest.Next suites in persistent local Hyper-V VMs driven over PowerShell Direct, created unattended from Windows install media. A module is done only when the full suite is green on both Windows 10 LTSC and Windows 11, in separate VMs, plus Windows 11 ARM64 on Windows on ARM hosts. Use for fast agentic UI-test iteration, reusable interactive desktops, non-admin scenarios, payload staging and refresh, evidence export, VM customization, checkpoint-based clean baselines, or hosts without nested virtualization. Keywords: Hyper-V, local VM, virtual machine, PowerShell Dire
Capture a 2-3 line pitch from the user, draft a product overview (PRD.md) and a technical design (ARCHITECTURE.md) for a third-party `.ppmplugin` native control, then walk through every operation's iOS + Android implementation strategy with opinionated recommendations (library choice, hosting, key APIs, edge cases) and capture the agreed spec in ARCHITECTURE.md §3.<n>. The depth of ARCHITECTURE.md is what lets the scaffold skill generate complete working code instead of TODO placeholders. Iterates with the user until they approve both docs. Optionally seeds from a design doc / FRD URL. PRD.md
Creates the Tamagui brand system for an Expo/React Native Power Apps mobile app, including design-system.md, tokens.ts, and an HTML gallery.
Generate a brand-aligned design guide for a new code app instead of using the default template styling. Use when: the user wants to start a new app with their own brand identity, mentions 'design guide', 'brand guidelines', 'style guide', or wants to customize the look and feel before building. This skill runs BEFORE the code-apps plugin to establish brand tokens, then delegates app creation to /create-code-app.
Reactor essentials in one place — React-to-Reactor mental model, minimal app shape, hooks, the most-used factories, the critical gotchas, and project setup. This is the only skill you need loaded for typical Reactor work; load topical skills (`reactor-async`, `reactor-design`, etc.) only when the task explicitly calls for them.
Reactor docking windows — `DockManager`, `DockSplit`/`DockTabGroup`/`Document`/`ToolWindow`, drag-to-float/redock, roles (`DocumentArea`/`ToolWindowStrip`), persistence. Use when building IDE-/Office-shaped layouts with dockable, tear-out tool windows and document wells. READ THIS BEFORE wiring `DockManager` — the content-vs-shape ownership model is the #1 thing people get wrong.
Driving a running Reactor app via `mur devtools` — screenshot, inspect visual tree, click/type/scroll, read hook state. Use when diagnosing visible bugs (layout, contrast) or verifying a UI change landed.
Windows 11 design rules for Reactor — theme tokens, High Contrast, typography (`Heading`/`SubHeading`/`Caption`), 4px grid, acrylic surfaces, accessibility, animation, and a code-review checklist. Use when authoring, reviewing, or fixing visual styling.
Building Reactor apps and reading diagnostics — `mur check <path>` is the build (same exit code as `dotnet build`, never re-run to confirm) with one-line diagnostics, skill pointers, and `→ try:` did-you-mean suggestions to use verbatim. Covers iteration vs `--final` workflow, the common-build-errors cheat table mapping `REACTOR_HOOKS_*` / `REACTOR_DSL_*` / `REACTOR_THEME_*` / `REACTOR_A11Y_*` / `REACTOR_OPT_*` / `CS*` IDs to fixes, when single-file vs `.csproj` matters for analyzer coverage, build prerequisites. Use when a build fails, you see an analyzer warning, or you want a structured dia
Benchmark the Reactor data-grid stress harness in the microsoft/microsoft-ui-reactor repo and compare this branch against the `main` baseline. Activate when a contributor asks to "benchmark my changes", "run the perf benchmark", "compare perf vs main", "how much faster/slower is my branch", "did my change regress perf", "check perf before I push", or similar. Builds + runs StressPerf.ReactorOptimized on the current tree and on a clean `main` worktree, interleaved on one machine, captures the four headline metrics (Renders/sec, Avg Reconcile ms, Avg Diff ms, Avg Memory MB), and reports a direct
Author or remove Reactor "did-you-mean" / diagnostic analyzers and the matching `mur check` rules in the microsoft/microsoft-ui-reactor repo. Activate when a contributor asks to "add a REACTOR_ diagnostic", "add a did-you-mean for <mistake>", "add/remove a mur check rule", "suggest the right factory/argument", "write a Roslyn analyzer for Reactor", or "wire an in-build suggestion". Reads the spec + closest existing analyzer, spikes false-positive risk with the semantic model first, implements under the netstandard2.0 analyzer constraints, adds the AnalyzerReleases row, keeps the CLI mirror in
Experiment design reference for problem-class framing, Minimum Viable Experiment coaching, hypothesis formation, vetting and red flags, and experiment readiness. Use when translating a stated business outcome into candidate data-science problem classes, or when framing, vetting, scoping, or evaluating an experiment of any kind, including data feasibility, architecture, LLM, performance, use-case, UX, prototyping, and hardware experiments.
Coach a UX practitioner through problem framing, running a design critique, or making an evidence-backed case to a skeptical stakeholder. Use when the practitioner has a live UX task and wants to think it through rather than receive an answer.
Produce evidence-labelled UX needs, journey, structure, inclusion, and engineering-handoff assets. Use when a practitioner needs a durable UX artifact rather than coaching.
Design Thinking handoff knowledge for research-ready rpi-research inputs and DT-aware rpi-plan, rpi-implement, and rpi-review context
Design Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)
Design Thinking learning curriculum covering nine progressive modules across the full Problem, Solution, and Implementation Space methods plus a shared manufacturing reference scenario for teaching and practice
Design Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflow
