Skill UI

This comprehensive guide covers universal coding standards, best practices, and architectural patterns for modern web development using TypeScript, JavaScript, React, and Node.js. It emphasizes fundamental principles like Readability, DRY, and Immutability, while providing detailed guidelines on component structure, state management, asynchronous programming, and designing robust REST APIs.

This skill provides comprehensive guidelines based on Clean Code principles, transforming merely functional code into highly readable, maintainable, and robust software. It covers best practices for naming conventions, function design (small, single responsibility), error handling (exceptions over return codes), formatting, and adhering to Test-Driven Development (TDD). Use this skill when writing new features, reviewing pull requests, or refactoring legacy systems to improve overall code quality.

Guidelines for building Convex backends with TypeScript, detailing syntax, validators, schema design, queries, mutations, actions, scheduling, and file storage so you can implement Convex database operations, real-time updates, and cron jobs consistently.

Guidelines for building scalable, maintainable Django apps covering REST API design with DRF, ORM best practices, caching, signals, middleware, and deployment-ready project layouts and settings.

This comprehensive guide establishes strict architectural and performance standards for senior frontend engineers working with React, TypeScript, and Suspense. It dictates best practices for component design, feature implementation, data fetching (useSuspenseQuery), and code structure (feature-based organization). Use this when building any new component, feature, or handling data mutation to ensure the resulting application is scalable, predictable, and maintainable.

Curated guidelines covering idiomatic Go error handling, interface design, concurrency patterns, context propagation, testing, and module management for reliable team codebases.

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for designing and implementing core content components (e.g., Charts, Collections, Image Views, Web Views). It provides best practices for cross-platform adaptation, accessibility, visual hierarchy, and performance optimization across iOS, macOS, tvOS, and visionOS.

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for integrating apps into system surfaces. Covers best practices for widgets, Live Activities, notifications, complications, App Clips, and other system components, ensuring apps provide glanceable, contextual utility outside the main app environment.

Provides comprehensive best practices for designing user interfaces that support diverse input methods across the Apple ecosystem. This guide covers everything from standard gestures, Apple Pencil interactions, keyboard shortcuts, to specialized inputs like the Digital Crown, eye tracking, and motion sensors, ensuring cross-platform consistency and optimal user experience.

This comprehensive guide outlines Apple's Human Interface Guidelines (HIG) for various technologies and user flows (e.g., Siri, Apple Pay, HealthKit, ARKit, Generative AI). It teaches developers how to ensure their applications feel natively integrated, respect user privacy, and adhere to established platform patterns across iOS, macOS, and other Apple devices. Essential reading for building high-quality, compliant, and seamless user experiences.

This SDK provides comprehensive, production-ready patterns for interacting with the OpenEvidence clinical evidence API. It enables developers to efficiently query medical literature, retrieve clinical guidelines, and generate evidence-based recommendations. Key features include a singleton client for consistent authentication, robust error wrappers (handling retries, invalid keys), and structured data models designed to ensure audit compliance and detailed citation provenance in complex healthcare applications.

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.