What is the role of MCP in this skill?

The Playwright MCP (Model Context Protocol) is used for real-time validation and reporting, ensuring every step of the automation is verified during execution.

What is the primary benefit of using this skill?

It automates the tedious process of replacing hardcoded values in Playwright scripts with dynamic lookups from Excel, making your automation more scalable.

How does it handle data loading?

It uses the Polars library to load Excel (.xlsx) data efficiently, ensuring high performance even with larger spreadsheets.

Can I use this for existing Playwright scripts?

Absolutely. It is specifically built to analyze existing codegen scripts and refactor them to use centralized configurations and external data.

Does it require a specific Python environment?

Yes, it is designed to work within a Conda environment named 'playwright' to ensure dependency consistency and avoid virtual environment conflicts.

Playwright Excel Automator

Name: Playwright Excel Automator
Author: Rukkha1024

byRukkha1024

0•

浏览器自动化

Transforms static Playwright scripts into dynamic, data-driven automations using Excel and centralized configurations.

This skill streamlines the transition from hardcoded Playwright codegen scripts to robust, Excel-backed automation workflows. By leveraging Polars for high-performance data loading and implementing centralized YAML configurations, it enables developers to manage test data and environmental variables outside of the codebase. The skill integrates seamlessly with the Playwright MCP for real-time validation and reporting, ensuring that automated browser tasks remain accurate and maintainable even as data sets grow.

主要功能

010 GitHub stars

02Integrated Playwright MCP validation for real-time reporting and error checking

03Automatic conversion of hardcoded Playwright values into Excel-driven lookups

04MD5 checksum verification for ensuring output consistency during logic refactoring

05Centralized configuration management via YAML for paths, patterns, and constants

06High-performance data loading utilizing the Polars library

使用场景

01Centralizing browser automation configurations for multi-environment deployments

02Automating repetitive web forms using bulk data stored in Excel spreadsheets

03Converting basic Playwright recordings into scalable data-driven test suites

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rukkha1024/post_auto_work playwright-excel

For use in Claude.ai and ChatGPT

Download Skill