<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Playwright on Top AI Skills</title><link>https://topaiskills.com/tags/playwright/</link><description>Recent content in Playwright on Top AI Skills</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 10 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://topaiskills.com/tags/playwright/index.xml" rel="self" type="application/rss+xml"/><item><title>Shopping Browser Automation</title><link>https://topaiskills.com/skills/automation/shopping-browser-automation/</link><pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate><guid>https://topaiskills.com/skills/automation/shopping-browser-automation/</guid><description>&lt;h2 id="what-it-is"&gt;What It Is&lt;/h2&gt;
&lt;p&gt;Shopping Browser Automation is an agent skill from the Open Agent Skills collection that teaches AI agents how to automate browser-based shopping workflows. It combines Playwright for browser control with the Model Context Protocol (MCP) to give agents the ability to search products, compare prices, add items to carts, and complete checkout flows without human supervision.&lt;/p&gt;
&lt;p&gt;This isn&amp;rsquo;t a standalone tool — it&amp;rsquo;s a skill that lives inside the Open Agent Skills framework, which provides a lightweight Python runtime for executing domain-specific agent skills. The project was built by the Project Q team at SII (a French IT services company) as part of their research into making AI agents more efficient by replacing raw MCP tool calls with structured skill instructions.&lt;/p&gt;</description></item></channel></rss>