基于 Midscene 的视觉驱动型安卓设备自动化，完全通过截图操作，无需 DOM 或无障碍标签，可通过自然语言控制安卓设备。
该技能利用 Midscene.js 框架，通过截图驱动的视觉识别实现 Android 设备自动化。它完全脱离传统 DOM 或无障碍标签依赖，能够与屏幕上任意可见元素（无论底层技术栈）进行交互。用户可使用自然语言通过 ADB 控制设备，执行点击、滑动、文本输入、应用启动、截图等操作。触发关键词包括 android、phone、tap、swipe、install app 等，适用于在真实设备上进行端到端测试、视觉验证及 QA 检查。该技能支持任何 Android 设备（需启用 ADB 调试），特别适合需要模拟用户真实操作场景的移动端自动化测试。支持的平台：Claude Code、Cursor 等兼容 Midscene 的 AI 代理工具。
npx skills add https://github.com/web-infra-dev/midscene-skills/tree/main/skills/android-device-automationInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
基于 Midscene 的视觉驱动型安卓设备自动化。完全通过截图操作——无需 DOM 或无障碍标签。能够与屏幕上所有可见元素（无论底层技术栈）进行交互。通过 ADB 使用自然语言控制安卓设备，执行点击、滑动、文本输入、应用启动、截图等操作。触发关键词：android、phone、mobile app、tap、swipe、install app、open app on phone、android device、mobile automation、adb、launch app、mobile screen、test android app、verify mobile app、QA on phone、check the app on android、test on device、see if the app works on phone、end-to-end test on android、visual verification on mobile。基于 Midscene.js (https://midscenejs.com)
This repo contains 5 individual skills — each has its own dedicated page.
Vision-driven browser automation using Midscene. Operates from screenshots — no DOM or accessibility labels needed. Runs in headless Puppeteer — does NOT take over the user's mouse or keyboard. Also supports CDP mode and Bridge mode to connect to an existing Chrome. Use this skill when the user wants to: - Browse, navigate, or open web pages - Scrape, extract, or collect data from websites - Fill out forms, click buttons, or interact with web elements - Verify, validate, test, or QA frontend UI behavior - Take screenshots of web pages - Automate multi-step web workflows - Test what was just built, see if it works in browser - Connect to Chrome via CDP, DevTools Protocol, or remote debugging - Connect to user's Chrome browser, control my browser, operate my Chrome Powered by Midscene.js (https://midscenejs.com)
Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows, Linux) or a remote Windows desktop over RDP with natural language commands. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. ⚠️ In local mode this takes over the user's real mouse and keyboard. For web apps, prefer "Browser Automation" instead. Only use this for desktop-native apps (Electron, Qt, native macOS/Windows/Linux) that cannot run in a browser, or for driving a remote Windows host via RDP. Triggers: open app, press key, desktop, computer, click on screen, type text, screenshot desktop, launch application, switch window, desktop automation, control computer, mouse click, keyboard shortcut, screen capture, find on screen, read screen, verify window, close app, test Electron app, rdp, remote desktop, windows server, connect via rdp Powered by Midscene.js (https://midscenejs.com)
Vision-driven HarmonyOS NEXT device automation using Midscene. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control HarmonyOS devices with natural language commands via HDC. Perform taps, swipes, text input, app launches, screenshots, and more. Trigger keywords: harmony, harmonyos, 鸿蒙, hdc, huawei device, harmony app, harmony automation, harmony phone, harmony tablet, test harmony app, verify on harmonyos, QA on 鸿蒙, check the app on harmony, test on huawei device, see if the app works on harmony, end-to-end test on harmonyos, visual verification on 鸿蒙 Powered by Midscene.js (https://midscenejs.com)
Vision-driven iOS device automation using Midscene CLI. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control iOS devices with natural language commands via WebDriverAgent. Triggers: ios, iphone, ipad, ios app, tap on iphone, swipe, mobile app ios, ios device, ios testing, iphone automation, ipad automation, ios screen, ios navigate, test ios app, verify on iphone, QA on ipad, check the app on ios, test on ios device, see if the app works on iphone, end-to-end test on ios, visual verification on ios Powered by Midscene.js (https://midscenejs.com)
Enhances Vitest with Midscene for AI-powered UI testing across Web (Playwright), Android (ADB), and iOS (WDA). Scaffolds new projects, converts existing projects, and creates/updates/debugs/runs E2E tests using natural-language UI interactions. Triggers: write test, add test, create test, update test, fix test, debug test, run test, e2e test, midscene test, new project, convert project, init project, 写测试, 加测试, 创建测试, 更新测试, 修复测试, 调试测试, 运行测试, 新建工程, 转化工程.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.