Install and configure the Flowglad SDK for Next.js, Express, and React applications. Use this skill when adding billing to an app, setting up Flowglad for the first time, or configuring SDK providers and route handlers.
Automates interactions for Apple-platform apps (iOS, tvOS, macOS) and Android devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info across mobile, TV, and desktop targets.
`@expo/ui/jetpack-compose` package lets you use Jetpack Compose Views and modifiers in your app.
`@expo/ui/swift-ui` package lets you use SwiftUI Views and modifiers in your app.
Deploy Sky Map to the Google Play Store using fastlane. Trigger on "deploy to Play Store", "release to internal", "promote to beta/production", "upload metadata", or similar Play Store release requests.
Connects Mux mobile (Expo web/native) to an isolated dev-server sandbox with deterministic port setup, backend pairing, and Chrome MCP interaction. Use when implementing or validating mobile features against a sandboxed Mux backend.
Use when adding a new screen or modifying navigation in the Alkaa project — triggers on tasks like "add a new screen", "navigate to X", "add destination", "wire up navigation", or "create a navigation event". Also triggers when connecting UI actions to routes in NavGraph.
Use when creating a new Composable or modifying an existing one in the Alkaa project — screen structure, state handling, adaptive layouts, Kuvio usage, or previews.
Core infrastructure, hosting, DI, key-value stores, lifecycle hooks, and platform abstractions for Shiny on .NET MAUI, iOS, and Android
Guide for generating code that uses Shiny.NET HTTP Transfers for background uploads and downloads on iOS/Android
GPS tracking and geofence monitoring for .NET MAUI, iOS, and Android using Shiny.Locations
Cross-platform local notification management for .NET MAUI apps using Shiny, supporting scheduled, repeating, and geofence-triggered notifications with channels, badges, and interactive actions.
Guide for implementing push notifications in .NET MAUI apps using Shiny.Push (native FCM/APNs) and Shiny.Push.AzureNotificationHubs
Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.
Advanced Compose Multiplatform UI patterns for shared composables. Use when working with visual UI components, state management patterns (remember, derivedStateOf, produceState), recomposition optimization (@Stable/@Immutable visual usage), Material3 theming, custom ImageVector icons, or determining whether to share UI in commonMain vs keep platform-specific. Delegates navigation to android-expert/desktop-expert. Complements kotlin-expert (handles Kotlin language aspects of state/annotations).
Advanced Kotlin patterns for AmethystMultiplatform. Flow state management (StateFlow/SharedFlow), sealed hierarchies (classes vs interfaces), immutability (@Immutable, data classes), DSL builders (type-safe fluent APIs), inline functions (reified generics, performance). Use when working with: (1) State management patterns (StateFlow/SharedFlow/MutableStateFlow), (2) Sealed classes or sealed interfaces, (3) @Immutable annotations for Compose, (4) DSL builders with lambda receivers, (5) inline/reified functions, (6) Kotlin performance optimization. Complements kotlin-coroutines agent (async patterns) - this skill focuses on Amethyst-specific Kotlin idioms.
Advanced Kotlin coroutines patterns for AmethystMultiplatform. Use when working with: (1) Structured concurrency (supervisorScope, coroutineScope), (2) Advanced Flow operators (flatMapLatest, combine, merge, shareIn, stateIn), (3) Channels and callbackFlow, (4) Dispatcher management and context switching, (5) Exception handling (CoroutineExceptionHandler, SupervisorJob), (6) Testing async code (runTest, Turbine), (7) Nostr relay connection pools and subscriptions, (8) Backpressure handling in event streams. Delegates to kotlin-expert for basic StateFlow/SharedFlow patterns. Complements nostr-expert for relay communication.
Keep custom admin and vendor UI aligned with @medusajs/ui and Radix UI. Use when adding or modifying reusable UI, page-level interaction patterns, overlays, menus, form primitives, or any custom component in Mercur dashboards.
Keep custom admin and vendor UI in the Mercur basic starter aligned with local wrappers and @medusajs/ui. Use when adding reusable UI, interactive primitives, overlays, menus, selectors, or custom dashboard components.
Architecture guidance for Flutter apps using the flutter_it construction set (get_it, watch_it, command_it, listen_it). Covers Pragmatic Flutter Architecture (PFA) with Services/Managers/Views, feature-based project structure, manager pattern, proxy pattern with optimistic updates and override fields, DataRepository with reference counting, scoped services, widget granularity, testing, and best practices. Use when designing app architecture, structuring Flutter projects, implementing managers or proxies, or planning feature organization.
Expert guidance on get_it service locator and dependency injection for Flutter/Dart. Covers registration (singleton, factory, lazy, async), scopes with shadowing, async initialization with init() pattern, retrieval, testing with scope-based mocking, and production patterns. Use when working with get_it, dependency injection, service registration, scopes, or async initialization.
Automates interactions for iOS simulators/devices and Android emulators/devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info on mobile targets.
Integrate on-device AI into React Native apps using React Native ExecuTorch, which provides APIs for LLMs, computer vision, OCR, audio processing, and embeddings without cloud dependencies, as well as a variety of pre-exported models for common use cases. Use when user asks to build AI features into mobile apps - AI chatbots, image classification, object detection, style transfer, OCR, document parsing, speech processing, or semantic search - all running locally without cloud dependencies. Use when user mentions offline support, privacy, latency or cost concerns in AI-based applications.
Integrate on-device AI into React Native apps using React Native ExecuTorch, which provides APIs for LLMs, computer vision, OCR, audio processing, and embeddings without cloud dependencies, as well as a variety of pre-exported models for common use cases. Use when user asks to build AI features into mobile apps - AI chatbots, image classification, object detection, style transfer, OCR, document parsing, speech processing, or semantic search - all running locally without cloud dependencies. Use when user mentions offline support, privacy, latency or cost concerns in AI-based applications.
