design-qa

Compare Figma prototypes with frontend implementations to detect visual design drift and generate prioritized fix lists.

8|12|Updated Sep 19, 2025
One-click install
npx skills add https://github.com/xpert-ai/xpert-plugins --skill design-qa-xpert-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-qa
Source: https://github.com/xpert-ai/xpert-plugins/tree/main/community/roles/product-design/skills/design-qa
Command: npx skills add https://github.com/xpert-ai/xpert-plugins --skill design-qa-xpert-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the risk of undetected visual design drift between product design prototypes and their built implementations, which causes costly rework and delays product handoff.

Core Features & Use Cases

It performs systematic, evidence-based visual QA comparing source design assets (Figma files, mockups, screenshots) to rendered implementations, validates all mandatory fidelity surfaces (typography, spacing, color, assets, copy, accessibility), generates prioritized fix lists ordered by user impact, and blocks handoff if critical mismatches remain. For example, after a product design team finalizes a new checkout flow prototype and engineering completes the build, run this skill to catch any font, spacing, or asset mismatches before approving handoff.

Quick Start

Use the design-qa skill to compare the attached Figma prototype of the new checkout flow against its deployed implementation and generate a prioritized list of required fixes.

Frequently Asked Questions about design-qa

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

FAQPage Schema
How do I catch visual design drift between a Figma prototype and its built frontend implementation?

To catch visual design drift, compare source prototypes against rendered frontend implementations using systematic fidelity checks. This validates typography, spacing, color, assets, copy, and accessibility, generating an evidence-based fix list ordered by user impact before handoff.

What is prototype-to-build handoff validation and when do I need it?

Prototype-to-build handoff validation is a pre-handoff QA workflow that eliminates undetected visual mismatches between product design prototypes and built implementations. You need it when finalizing builds to catch font, spacing, or asset mismatches before approving the handoff.

Can I validate URL-to-code or image-to-code outputs against source visual targets?

Yes, you can validate URL-to-code and image-to-code outputs by comparing available source visual targets against their rendered implementations. This checks mandatory fidelity surfaces and blocks handoff approval if critical visual mismatches remain.

How do I generate a prioritized fix list for frontend visual fidelity issues?

Generate a prioritized fix list by running systematic visual fidelity checks comparing source design assets to rendered builds. The resulting evidence-based list is ordered by user impact, covering typography, spacing, color, assets, copy, and accessibility discrepancies.

Does visual QA for pre-handoff product design require specific source files?

Visual QA for pre-handoff requires available source visual targets, such as Figma files, mockups, or screenshots, alongside the rendered frontend implementations. These inputs enable systematic comparison to detect design drift across all mandatory fidelity surfaces.