Community研究與資料分析github.com

web-infra-dev/browser-automation

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)

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/web-infra-dev/midscene-skills/tree/main/skills/browser-automation

Ask in your favorite AI

Open a new chat with this agent skill pre-loaded.

說明文件

web-infra-dev/browser-automation

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)

Individual skills in this repo

This repo contains 5 individual skills — each has its own dedicated page.

web-infra-dev/android-device-automation

Vision-driven Android 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 Android devices with natural language commands via ADB. Perform taps, swipes, text input, app launches, screenshots, and more. Trigger keywords: 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 Powered by Midscene.js (https://midscenejs.com)

web-infra-dev/desktop-computer-automation

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)

web-infra-dev/harmonyos-device-automation

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)

web-infra-dev/ios-device-automation

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)

web-infra-dev/vitest-midscene-e2e

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.

相關技能

adjfks/write-xiaohongshu

Research top-performing Xiaohongshu (小红书 / XHS) image posts, analyze titles/content/comments for patterns and emotional resonance, enrich background via Firecrawl MCP, then write and publish an XHS note via Xiaohongshu MCP. Enforce hard limits: title <= 20 characters, body <= 1000 characters. Use when the user asks for 小红书笔记/种草文案/爆款标题/发布到小红书.

community

KamaleshAshokkumarKowsalya/AI_agent_workflow

This project implements a simple AI-assisted File Analysis Agent that reads text files, computes word frequency statistics, and produces short extractive summaries.

community

nozomio-labs/nia

Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.

community

ComposioHQ/rosette-text-analytics-automation

Automate Rosette Text Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.

community

nextlevelbuilder/goclaw

Agent skill repository discovered by 10x-chat research.

community

github/threat-model-analyst

Full STRIDE-A threat model analysis and incremental update skill for repositories and systems. Supports two modes: (1) Single analysis — full STRIDE-A threat model of a repository, producing architecture overviews, DFD diagrams, STRIDE-A analysis, prioritized findings, and executive assessments. (2) Incremental analysis — takes a previous threat model report as baseline, compares the codebase at the latest (or a given commit), and produces an updated report with change tracking (new, resolved, still-present threats), STRIDE heatmap, findings diff, and an embedded HTML comparison. Only activate when the user explicitly requests a threat model analysis, incremental update, or invokes /threat-model-analyst directly.

community