frontend-inspector

Name: frontend-inspector
Availability: InStock
Author: JansenAnalytics

Analyze frontend screenshots to detect visual defects and generate structured reports.

5|Updated Apr 8, 2026

Search Tags:#frontend #screenshot #analyze #visual QA #vision-model #layout-bugs

Ready to run

npx skills add https://github.com/JansenAnalytics/claudex --skill frontend-inspector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: frontend-inspector
Source: https://github.com/JansenAnalytics/claudex/tree/main/skills/frontend-inspector
Command: npx skills add https://github.com/JansenAnalytics/claudex --skill frontend-inspector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, bash, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Analyze frontend visuals by applying vision-model analysis and automated checks to detect layout bugs, alignment issues, overflow, z-index problems, spacing inconsistencies, and color-contrast issues.

Core Features & Use Cases

Vision-model based screenshot analysis to QA frontend UIs.
Automated checks for layout, typography, color contrast, and component consistency.
Use Case: Validate UI implementations during design handoff, QA cycles, and visual regression testing to ensure pixel-perfect alignment across breakpoints.

Quick Start

Provide a frontend screenshot as input to trigger automatic vision-model analysis and generate a visual QA report.

Frequently Asked Questions about frontend-inspector

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

FAQPage Schema

How do I detect frontend visual bugs from a screenshot?▼

You can detect frontend visual bugs from a screenshot by applying vision-model analysis and automated checks to identify layout issues, alignment problems, and overflow. The Skill orchestrates these checks and emits a structured report with severity and recommendations.

Can I use this for visual regression testing during UI review?▼

Yes, you can use it for visual regression testing during UI review and design handoff. It validates UI implementations across breakpoints to ensure pixel-perfect alignment by detecting spacing inconsistencies and z-index conflicts.

What specific layout issues can automated screenshot analysis identify?▼

Automated screenshot analysis identifies alignment problems, overflow, z-index conflicts, spacing inconsistencies, and color-contrast gaps. It applies vision-model prompts to orchestrate deterministic checks for these common visual defects.

Do I need python3 and bash to run visual QA checks on frontend UIs?▼

Yes, you need python3 and bash installed to run these visual QA checks on frontend UIs. The deterministic analysis is implemented via scripts that require these dependencies to orchestrate the vision-model prompts.

What is the best way to check color contrast and typography in frontend screenshots?▼

The best way to check color contrast and typography in frontend screenshots is using automated vision-model analysis. The Skill applies automated checks for component consistency and generates a structured report of detected issues.

Why does frontend visual QA require both vision-model analysis and automated checks?▼

Frontend visual QA requires both because automated scripts orchestrate deterministic checks for precise layout bugs, while the vision-model identifies complex visual defects like spacing inconsistencies and color-contrast gaps that rule-based checks might miss.