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ios-qa

Automate iOS QA for SwiftUI apps by capturing screenshots and simulating user interactions.

Updated Jun 19, 2026
Search Tags:#automated testing#SwiftUI#iOS QA#live device testing#vision-driven agent
One-click install
npx skills add https://github.com/moogieon/kadera --skill ios-qa-moogieon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ios-qa
Source: https://github.com/moogieon/kadera/tree/main/.claude/skills/gstack/ios-qa
Command: npx skills add https://github.com/moogieon/kadera --skill ios-qa-moogieon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencv-python, numpy, pillow, pyautogui, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the QA process for SwiftUI apps, allowing you to test on real devices with minimal setup.

Core Features & Use Cases

  • Live Device Testing: Conduct QA directly on real iOS devices connected via USB.
  • Vision-Driven Agent Loop: Automatically captures screenshots, analyzes them, and performs actions like tapping, swiping, and typing.
  • Remote Access: Optionally expose the device over Tailscale for remote testing without physical access.
  • Use Case: When you need to perform comprehensive QA on a SwiftUI app, this Skill can help you identify bugs and issues without manually testing on each device.

Quick Start

To begin testing your app, connect a device and run the command: ios-qa start.

Frequently Asked Questions about ios-qa

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate iOS QA for SwiftUI apps on a live device?▼

To automate iOS QA for SwiftUI apps, you can use a vision-driven agent that captures and analyzes screenshots to simulate user interactions like tapping, swiping, and typing. This allows you to validate results directly on real iOS devices connected via USB.

What Python libraries are required for automated iOS live device testing?▼

Automated iOS live device testing requires opencv-python, numpy, pillow, and pyautogui. These Python libraries handle the image processing and screen control needed to simulate interactions and validate results on the connected device.

Can I run remote testing on iOS devices without physical access?▼

Yes, you can run remote testing on iOS devices without physical access by optionally exposing the device over Tailscale. This allows you to conduct SwiftUI QA and identify bugs without needing to be physically connected to the device.

How does a vision-driven agent validate SwiftUI app interfaces?▼

A vision-driven agent validates SwiftUI app interfaces by automatically capturing screenshots, analyzing the visual output, and performing actions based on the analysis. It simulates user interactions to identify bugs and issues without manual testing.

What is the best way to start automated testing for a SwiftUI app?▼

The best way to start automated testing for a SwiftUI app is to connect your device and run the command `ios-qa start`. This initiates the vision-driven agent loop to capture screenshots, analyze them, and perform simulated interactions.

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