Skill UI

An expert skill designed for writing, reviewing, and refactoring SwiftUI code for iOS and macOS. It provides deep insights into modern state management (@Observable), optimizing view composition, handling data flow, and improving performance. The skill also assists with interpreting Instruments traces and adhering to Apple's latest Human Interface Guidelines.

A comprehensive guide covering modern best practices for building high-performance, declarative user interfaces in SwiftUI. Topics include using the advanced @Observable framework for state management, achieving type-safe navigation with NavigationStack, effective view composition, and optimizing rendering performance for iOS and macOS platforms.

Automated guidance for Teams Webhook Sender scenarios within business automation, offering best-practice patterns, ready-to-use configurations, and validation steps for workflow, email, spreadsheet, and process optimization tasks.

Automates TensorFlow SavedModel deployment support with step-by-step guidance, best-practice patterns, production-ready code/config generation, and validation for serving, monitoring, and optimization scenarios.

Automates help with test parallelizer workflows, offering guided best practices, configuration tips, and code snippets for parallelized unit and integration testing scenarios.

Validates Claude Code plugin activation by reading files, executing commands, and ensuring trigger phrases and tool permissions work as expected during E2E testing scenarios.

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.

Automated guidance for thread dump analyst tasks within performance testing, offering best practices, configuration templates, code snippets, and validation support when working on load, stress, benchmark, or monitoring scenarios.

Automates throughput calculator tasks for Performance Testing by offering step-by-step guidance, industry best practices, and production-ready code for load, stress, benchmarking, and monitoring scenarios.

Configure a comprehensive local development environment for integrating the TwinMind API. This guide walks you through setting up a project structure, configuring environment variables, and building a reusable client class using TypeScript and Axios. It is ideal for developers building applications that require local testing of transcription, summary generation, or meeting automation workflows.

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.

This comprehensive runbook provides rapid, structured procedures for incident response on Vast.ai cloud GPU instances. It covers common failure scenarios like spot preemption, training job crashes, and GPU hardware issues. Users can follow the steps for triage, mitigation, recovery, and postmortem analysis to minimize downtime and ensure computational continuity.