playwright-screenshot-inspector

Analyze Playwright screenshots to validate UI rendering accuracy semantically.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/viably-labs/vibegent --skill playwright-screenshot-inspector-viably-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: playwright-screenshot-inspector
Source: https://github.com/viably-labs/vibegent/tree/main/.agents/skills/curiositech-playwright-screenshot-inspector
Command: npx skills add https://github.com/viably-labs/vibegent --skill playwright-screenshot-inspector-viably-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Screenshots often fail to reveal whether a UI rendered correctly or adhered to the intended theme. This skill provides an LLM-assisted approach to semantically evaluate UI screenshots captured by Playwright, enabling reliable visual verification beyond pixel-perfect checks.

Core Features & Use Cases

  • Semantics-first visual testing: detects content rendering, theme correctness, and element visibility using multimodal analysis.
  • Cross-theme validation: verify dark and light mode consistency across pages and states.
  • Regression-ready reports: generate actionable insights from visual comparisons to support CI pipelines.

Quick Start

Run an automated visual test to capture and analyze UI screenshots for a sample page.

Frequently Asked Questions about playwright-screenshot-inspector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify UI rendering accuracy in Playwright beyond pixel-perfect visual regression?

You can verify UI rendering accuracy by applying LLM-based semantic analysis to Playwright screenshots. This approach evaluates content visibility, theme correctness, and element rendering to detect visual regressions that pixel comparisons often miss.

Can I check dark and light mode theme compliance using Playwright screenshots?

Yes, you can check dark and light mode theme compliance using cross-theme validation. The LLM-assisted analysis verifies visual consistency across multiple pages, states, and theme modes captured by Playwright.

How does LLM analysis work for visual testing of web applications?

LLM analysis for visual testing works by applying multimodal semantic evaluation to UI screenshots. It identifies content rendering issues, verifies element visibility, and checks theme correctness to generate actionable insights for regression reporting.

How do I generate visual regression reports for my CI pipeline from Playwright screenshots?

You can generate regression-ready visual reports by capturing UI screenshots with Playwright and processing them through LLM-based analysis. This produces structured, actionable insights designed to integrate seamlessly with existing CI test pipelines.

What is the best way to automate accessibility checks across multiple web pages?

The best way to automate accessibility checks across web pages is using semantics-first visual testing. By capturing multi-page coverage with Playwright and applying LLM analysis, you can validate UI rendering and accessibility compliance automatically.

Do I need existing test pipelines to use LLM-powered visual verification?

No, existing test pipelines are not strictly required, but the LLM-powered visual verification is designed to be extensible. It supports automated screenshot capture and structured reporting that easily integrates into your current CI workflows.