Skill UI

This comprehensive tool performs an architectural audit of a codebase, mapping module dependencies, checking layering integrity, and flagging structural decay. Drawing on classic engineering principles (like Conway's Law and Testability Seams), it provides a deep assessment of the project's health and structure. Ideal for large-scale code reviews or onboarding new developers.

This skill provides a comprehensive set of core UI components (e.g., Box, Button, Input, Card) and implements a structured design system. It guides developers on using design tokens (like `$textPrimary` or `$4`) instead of hard-coded values, ensuring visual consistency and scalability across applications. Ideal for any project requiring standardized, maintainable UI development.

This comprehensive guide provides structured frameworks and best practices for all developer advocacy activities. Use it to plan conference talks (including CFP templates), prepare live coding demos with the 10-3-1 rule, and strategize for podcast appearances and building in public. It covers everything from audience context to presentation polish.

This comprehensive guide provides strategies for optimizing the developer onboarding experience. Learn how to get developers to their "first value" (Time-to-First-Value) as quickly as possible using optimized quickstarts, tutorials, and structured sample apps. It covers measuring TTFV, identifying common blockers (like hidden prerequisites), and determining the best mix of interactive vs. static documentation to maximize product adoption rates.

Learn how to transform your technical documentation from a mere resource into a powerful marketing and conversion channel. This skill covers optimizing information architecture, structuring compelling quickstarts, and applying developer-centric principles to attract, convert, and retain developers, enhancing overall product adoption.

This guide details how to integrate Expo and React Native into existing native iOS or Android applications (brownfield development). It addresses the core challenge of adopting new technology incrementally, outlining two distinct approaches: Isolated (consuming prebuilt AAR/XCFramework) and Integrated (adding sources directly to existing build systems like Gradle/CocoaPods).

A comprehensive guide for developers on creating and writing native modules and views using the Expo Modules API. It covers platform-specific implementation details for Swift (iOS), Kotlin (Android), and TypeScript. Use this when integrating system APIs, wrapping platform SDKs, or building complex native functionality that goes beyond standard React Native components.

EAS Observe is a comprehensive tool for monitoring performance metrics in production Expo applications. It tracks critical performance data, including app startup time, navigation performance across routes, and custom user events. Developers can integrate it into their Expo project using the `expo-observe` package and query detailed reports via the EAS CLI, ensuring optimal user experience and stability.

Use this comprehensive skill for interacting with the Gemini API. It supports a wide range of advanced AI tasks, including text generation, multi-turn chat, multimodal understanding, image/video creation, function calling, and structured output. Provides modern SDKs for robust application development in Python and JavaScript/TypeScript.

This skill guides developers on building real-time, bidirectional, and multimodal streaming applications using the Gemini Live API. It covers low-latency voice, video, and text streaming over WebSockets, incorporating advanced features like Voice Activity Detection (VAD), function calling, and secure session management. Ideal for conversational AI, interactive video conferencing, and complex real-time user experiences.

This skill provides comprehensive access to the Hugging Face Hub ecosystem via MCP server tools. Users can search for state-of-the-art models, datasets, and research papers, retrieve detailed repository information, fetch documentation, run compute jobs on GPU/CPU, and interact with Gradio Spaces as fully functional AI tools. Ideal for ML development, research, and application prototyping.

This skill provides comprehensive guidance on choosing and creating the appropriate Neon Postgres branch for development and testing workflows. Users must decide between a 'Normal' branch (for realistic migration testing with live data) or a 'Schema-Only' branch (for highly sensitive data environments). It details the decision rules, tool selection (CLI/MCP), and procedures for branch creation and resetting.