automating-mobile-app-testing
About
This skill automates mobile app testing for iOS and Android using frameworks like Appium, Detox, XCUITest, and Espresso. It generates end-to-end tests, creates page object models, and handles platform-specific elements. Use it when you need to set up automated testing, configure device farms, or work with mobile testing frameworks.
Documentation
Overview
This skill empowers Claude to automate mobile app testing across iOS and Android, leveraging popular frameworks. It handles test generation, device configuration, and platform-specific adjustments, streamlining the mobile testing process.
How It Works
- Test Generation: Claude creates end-to-end tests based on user-defined flows and requirements.
- Page Object Modeling: The skill sets up page object models to represent mobile screens and their elements.
- Device Configuration: It configures simulators, emulators, or device farms (e.g., AWS Device Farm, BrowserStack) for testing.
- Platform Adaptation: The skill handles platform-specific differences between iOS and Android for robust cross-platform testing.
When to Use This Skill
This skill activates when you need to:
- Automate mobile app testing for iOS and/or Android.
- Generate end-to-end tests for mobile applications.
- Configure testing environments, including simulators, emulators, and device farms.
Examples
Example 1: Automating iOS App Testing
User request: "Create Appium tests for my iOS app."
The skill will:
- Generate Appium tests tailored for the iOS app.
- Configure an iOS simulator for test execution.
Example 2: Generating Detox Tests for a React Native App
User request: "Generate Detox tests for my React Native app's login flow."
The skill will:
- Create Detox tests specifically targeting the login flow of the React Native app.
- Set up the necessary environment for Detox testing.
Best Practices
- Specificity: Provide detailed information about the app's functionality and desired test coverage.
- Framework Selection: Specify the preferred testing framework (Appium, Detox, XCUITest, Espresso) if you have a preference.
- Platform Targeting: Clearly indicate the target platforms (iOS, Android, or both).
Integration
This skill can be used in conjunction with other skills related to code generation and deployment to create a comprehensive mobile app development workflow.
Quick Install
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus/tree/main/mobile-app-testerCopy and paste this command in Claude Code to install this skill
GitHub 仓库
Related Skills
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.
webapp-testing
TestingThis Claude Skill provides a Playwright-based toolkit for testing local web applications through Python scripts. It enables frontend verification, UI debugging, screenshot capture, and log viewing while managing server lifecycles. Use it for browser automation tasks but run scripts directly rather than reading their source code to avoid context pollution.
