This skill simplifies the creation of end-to-end web testing workflows by bridging the gap between natural language requirements and executable automation scripts. It generates comprehensive Playwright test harnesses in Python that interface with Gemini 2.5's Computer Use capabilities, allowing for complex UI interactions like clicking, typing, and scrolling based on human-readable instructions. Whether you are performing visual regression testing, validating multi-step forms, or ensuring UI fidelity across modern web applications, this skill provides the templates, validation tools, and best practices needed to build resilient, AI-driven browser automation workflows.
主な機能
01Built-in goal file validation and automated troubleshooting scripts
02Natural-language goal file generation for human-readable test scenarios
03Playwright-based Python test harness scaffolding with API integration
04Automated visual regression and UI fidelity validation
05Interactive requirements analysis for structured test mapping
060 GitHub stars
ユースケース
01Building AI-driven form automation and complex data entry validation workflows
02Creating visual regression suites to detect UI glitches and layout shifts
03Automating end-to-end QA testing for React, Vue, and Angular applications
