Skill UI

Mastery of modern mobile development across multiple platforms, including React Native, Flutter, and native iOS/Android. Expertise covers the entire lifecycle, specializing in architectural patterns (Clean, MVVM), performance optimization, offline-first data synchronization (GraphQL, SQLite), advanced DevOps practices (CI/CD, Fastlane), and App Store Optimization (ASO). Ideal for building robust, scalable, and highly performant cross-platform applications.

This guide provides comprehensive principles for developing games specifically for mobile platforms. It covers essential technical constraints and best practices, including optimizing for touch input, managing battery life and thermal performance, adhering to platform-specific requirements (iOS/Android), and selecting appropriate monetization models. Use this when designing highly optimized, user-centric mobile gaming experiences.

This expert specializes in secure mobile development practices, covering areas like input validation, WebView security, secure data storage (KeyStore/Keychain), and advanced network security (Certificate Pinning). Use this skill to write secure, resilient mobile code for both iOS and Android, mitigating platform-specific vulnerabilities and ensuring sensitive data protection.

This comprehensive workflow guides the process of building and deploying new features that must maintain consistent functionality and design across multiple operating systems (web, mobile, and desktop). It strictly follows an API-first architecture, starting with defining shared API contracts (OpenAPI/GraphQL) and a unified design system. The process then guides parallel implementation across specialized stacks like React/Next.js, SwiftUI, and Jetpack Compose, ensuring high code consistency and faster time-to-market.

Builds and optimizes production-ready React Native and Expo mobile apps, covering navigation hierarchies, native module setup, FlatList performance tuning, SafeArea/keyboard handling, and multi-platform testing to ensure smooth iOS and Android releases.

A comprehensive tool for analyzing social media campaign performance. It calculates key metrics such as Engagement Rate, ROI, CTR, and provides industry benchmarks across major platforms (Instagram, Facebook, LinkedIn, etc.). Use this when auditing campaigns, optimizing ad spend, or measuring overall marketing effectiveness.

Execute end-to-end automated testing for mobile applications across both iOS and Android platforms. This skill simulates real user interactions, covering UI flows, gestures (swipe, pinch), form validation, and platform-specific behaviors (e.g., Safe Area handling, Android back button logic). It supports industry-standard frameworks like Appium, Detox, and Maestro, making it essential for ensuring cross-platform quality assurance and robust CI/CD pipelines.

A comprehensive, step-by-step guide detailing the process of upgrading Expo SDK versions in a React Native project. This resource covers dependency resolution, handling breaking changes (such as React 19 or New Architecture migrations), clearing native caches (iOS/Android), and updating deprecated packages to ensure a smooth and stable migration process.

A comprehensive guide for optimizing licensing costs associated with AI developer tools (like Windsurf). It provides structured methods for auditing seat utilization, matching feature tiers to specific team roles, calculating the ROI per seat, and implementing continuous usage monitoring to maximize cost efficiency and minimize wasteful spending.

Monitor the adoption, feature usage, and overall Return on Investment (ROI) of AI tools like Windsurf. This skill provides comprehensive analytics, including daily active users, completion acceptance rates, and estimated time saved. It allows teams to set up usage alerts, identify underutilized seats, and build custom extensions to measure deep usage patterns, ensuring maximum team efficiency and quantifying AI impact.

This skill provides comprehensive analytics for Windsurf deployments, allowing teams to track AI feature adoption, measure productivity gains, calculate Return on Investment (ROI), and identify key areas for optimization. Use this when analyzing team usage patterns, generating usage reports, or conducting ROI assessments for AI tools.

Manage microscopy data with the OMERO Python API: access projects/datasets/images, retrieve and analyze pixel data, handle ROIs and annotations, store results in tables, and automate batch workflows for high-content screening.