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。
| Skill | Description / 说明 | Invocation / 调用 |
|---|---|---|
| ------- | ----------- | ------------ |
navigate | Open URLs, read page content / 打开网页、读取内容 | Auto + /navigate |
screenshot | Capture visuals / 截图截屏 | Auto + /screenshot |
interact | Click, type, fill forms / 点击、输入、表单 | Auto + /interact |
scrape | Extract structured data / 数据抓取 | Auto + /scrape |
debug | Inspect network, console / 网页调试 | Auto + /debug |
test | Automated QA / 自动化测试 | /test only |
record | Record sessions / 录制操作 | /record only |
browser-context | API reference / API 参考 | Model only |
pip install playwrightchrome.exe --remote-debugging-port=9222python 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.
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