Browser Automation Skills / 浏览器自动化技能包#

A set of Skills that teach AI models how to control the local Google Chrome browser. Works with any model — via built-in browser_subagent or the bundled Playwright CLI script.

一组教会 AI 模型控制本地 Google Chrome 的技能包。 适用于任何模型 — 通过内置 browser_subagent 或自带 Playwright CLI 脚本。

Included Skills / 包含的技能#

SkillDescription / 说明Invocation / 调用navigateOpen URLs, read page content / 打开网页、读取内容Auto + /navigate``screenshotCapture visuals / 截图截屏Auto + /screenshot``interactClick, type, fill forms / 点击、输入、表单Auto + /interact``scrapeExtract structured data / 数据抓取Auto + /scrape``debugInspect network, console / 网页调试Auto + /debug``testAutomated QA / 自动化测试/test onlyrecordRecord sessions / 录制操作/record onlybrowser-contextAPI reference / API 参考Model only

Prerequisites / 前提条件#

• Google Chrome installed locally / 本地安装 Chrome
• For Playwright CLI: pip install playwright
• Start Chrome: chrome.exe --remote-debugging-port=9222

Quick Start / 快速开始#

bash

python scripts/browser.py status
python scripts/browser.py navigate https://example.com
python scripts/browser.py screenshot
python scripts/browser.py lock      # Visual overlay, block user input
python scripts/browser.py unlock    # Remove overlay, restore input

See docs/api-reference.md for full API documentation.