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一个功能强大的浏览器自动化技能,基于 Playwright 构建,通过 MCP 协议为 OpenClaw 提供 101 完整的浏览器操作能力。OpenClaw skill for browser automation using Playwright - 101 tools for complete browser control

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89% credibility
Found Mar 01, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
PowerShell
AI Summary

This repository provides a browser automation extension for the OpenClaw AI assistant, enabling it to perform comprehensive web interactions like navigation, form filling, data extraction, and screenshots via simple chat commands.

How It Works

1
🔍 Discover the browser skill

While chatting with your AI helper OpenClaw, you learn about a handy add-on that lets it control web browsers to visit sites and grab info for you.

2
📥 Grab the easy package

You download the ready-made bundle for your computer, no complicated setup needed.

3
🛠️ Run one-click setup

Double-click the simple installer, and it automatically adds the browser powers to your AI helper's folder.

4
🔄 Restart your AI helper

Close and reopen OpenClaw so it notices the new abilities.

5
💬 Tell your AI to use it

In a chat, you say 'Use the browser skill to visit a website,' and it understands right away.

🎉 Browse the web together

Now your AI can open pages, click buttons, read content, take screenshots, and help with any web task effortlessly.

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AI-Generated Review

What is playwright-browser-skill?

This TypeScript project wraps Playwright into an OpenClaw skill, exposing 101 browser automation tools via the MCP protocol. It lets AI agents like Claude control full browser sessions—launching Chromium/Firefox/WebKit, emulating devices, scraping content, handling forms, and mocking networks—without devs writing custom scripts. Users get a plug-and-play playwright mcp server for seamless browser ops in AI workflows.

Why is it gaining traction?

It stands out with one-click auto-deploy scripts that handle builds, MCP config, and OpenClaw integration across Windows/Mac/Linux, skipping npm hassles. The 101 tools cover 88% of Playwright scenarios, from screenshots/PDFs to geolocation and coverage metrics, making it a ready playwright mcp bridge for claude code or cursor setups. Devs dig the self-contained packages for quick playwright mcp install in vscode or docker.

Who should use this?

OpenClaw users automating web tasks via AI, like scraping sites or testing UIs without manual Playwright github workflows. AI builders integrating browser skills into claude/copilot pipelines, or teams needing playwright github ci with mcp claude codex for agentic flows. Skip if you're deep into custom playwright github actions cache/reporter setups.

Verdict

Grab it if you're in the OpenClaw ecosystem—solid docs and 101 tools make it practical despite 12 stars and 0.9% credibility signaling early maturity. Test the auto-deploy first; pair with playwright mcp docker for prod.

(187 words)

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