Design Qa

Builds out the full design QA pyramid so you can catch regressions before they ship. It wires up token and hardcoded-value linting first, then layers on automated accessibility audits with axe-core, a real-render contrast checker that catches what static token checks miss, and visual regression across variants, states, themes, and RTL. The manual accessibility checklist covers keyboard nav, screen readers, and reflow at 400%. Honest take: this is the unglamorous scaffolding that prevents your design system from slowly rotting. If you've ever shipped a component only to discover it breaks in dark mode or has 2.8:1 contrast somewhere, these gates stop that from happening again.

skills.sh installs: 560
GitHub stars: 3.1K
last updated: Jun 11, 2026

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Install

$ npx -y skills add plugin87/ux-ui-agent-skills --skill design-qa --agent claude-code

Installs into .claude/skills of the current project.

Files

Skill: Design QA

Requirements

This skill needs the full UX/UI Agent Skills kit: the gates, the references and the design-system library. Install it with npx ux-ui-agent-skills@3.1.0 init or as the Claude Code plugin. npx skills@1.7.6 add copies the skill folder and nothing else. Installed that way, this skill runs in guidance-only mode: no gate runs, so it gives no verdict.

Step 0: is the kit here? Check once: ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING On KIT_MISSING, open your reply with: "Guidance-only mode: the UX/UI Agent Skills kit is not installed here, so no gate ran and nothing below is measured." Then work from this file and general practice, under three rules. Do not guess or cite the contents of a kit file you could not open. State no measured number (no contrast ratio, no N/N, no "passes WCAG"): write "not verified" where one would go. End with a line Skipped (kit not installed): that names every gate script this file tells you to run, then the install command above.

Stand up the automated + manual gates that stop quality from regressing.

SKILL.md on GitHub