Skill UI

This skill guides the development of production-grade APIs, MCP servers, and enterprise backends using modern C#/.NET best practices. It covers essential architectural components such as dependency injection (DI), advanced caching strategies (e.g., Redis), data access optimization with EF Core/Dapper, and implementing resilience patterns, ensuring robust and scalable software design.

This skill enables deploying Expo applications to production using Expo Application Services (EAS). It covers building and submitting apps to iOS App Store, Google Play, and TestFlight. Users can configure build profiles, manage version numbers, and publish metadata. Additionally, it supports deploying web bundles and API routes via EAS Hosting, facilitating CI/CD automation for cross-platform mobile development workflows.

This guide covers creating and writing Expo native modules and views using the Expo Modules API. It supports Swift for iOS, Kotlin for Android, and TypeScript. Topics include module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Ideal for adding native functionality like camera or sensors to Expo apps.

This skill enables developers to build Android-native user interfaces within Expo applications using the @expo/ui/jetpack-compose package. It allows integration of Jetpack Compose views and modifiers, mirroring the Compose API for Material Design 3 components. Users must wrap Jetpack Compose trees in Host components and follow specific installation steps for Expo SDK 55. It supports scrollable lists via LazyColumn and icons via XML vector drawables, facilitating native Android UI patterns in cross-platform development.

Master building high-performance asynchronous APIs using FastAPI, SQLAlchemy 2.0, and Pydantic V2. Covers microservices, WebSockets, security, testing, and deployment strategies for production-ready Python backend systems. Includes async patterns, database optimization, and observability.

Build mobile and web backends using Firebase managed services including Auth, Firestore, and Cloud Functions. Ideal for serverless APIs, real-time data sync, and rapid prototyping with minimal backend code.

This skill orchestrates full-stack feature development across backend, frontend, and infrastructure layers using an API-first approach. It guides users through architecture design, parallel implementation, and integration testing phases, coordinating specialized agents to deliver cohesive, production-ready systems with proper separation of concerns and comprehensive testing.

Build applications using Google Gemini API hosted models including Gemini and Gemma 4. Covers multimodal content handling (text, images, audio, video), function calling, structured outputs, and current model specifications. Includes SDK usage for Python, JavaScript/TypeScript, Go, and Java with installation instructions.

Build real-time bidirectional streaming applications using the Gemini Live API. Supports WebSocket-based audio/video/text streaming, voice activity detection, function calling, and session management. Includes SDKs for Python and JavaScript for low-latency AI interactions.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

Gradio is a Python library for creating interactive web user interfaces and machine learning demos. This skill covers building Gradio applications, including components, event listeners, layouts, and chatbots. It includes guides on Interface, Blocks, and ChatInterface patterns, along with key component signatures like Textbox, Number, and Slider for rapid prototyping and deployment.

Master modern Julia 1.10+ development with performance optimization, multiple dispatch, and production-ready practices. Covers tooling, testing, scientific computing, machine learning, web APIs, package development, and DevOps.