plugin87/ux-ui-agent-skills
Turn Claude into a Senior Design Architect — DTCG design tokens, 42 components, WCAG 2.2 accessibility, any-framework code, 138 design systems, and runnable skills.
What it solves
This project provides a comprehensive knowledge and instruction layer to transform AI agents (specifically Claude) into senior UX/UI design architects. It solves the problem of inconsistent, non-accessible, or "slop" AI-generated UI by providing structured design tokens, accessibility standards (WCAG 2.2), and a library of 138 design systems to ensure production-ready, token-driven outputs across any frontend framework.
How it works
The kit functions as a pure instruction and knowledge layer that integrates with Claude Code or Claude-powered IDEs via a CLAUDE.md file. It uses a Request Router to load specific rules and knowledge on demand. The system is built around three primary drivers:
- Knowledge Layers: A massive library of design tokens (DTCG format), component specs following Atomic Design, and a "taste" layer containing aesthetic archetypes.
- Runnable Skills: 17 invocable
/skills(e.g.,/brandkit,/a11y-audit,/design-code) that orchestrate complex design workflows. - Objective Gates: A suite of Python and Node.js scripts that programmatically validate token validity, WCAG contrast ratios in light and dark modes, and accessibility requirements to ensure correctness.
Who it’s for
Frontend developers, product designers, and teams using AI agents to generate UI code who need professional-grade design systems, strict accessibility compliance, and framework-agnostic implementation.
Highlights
- Framework Agnostic: Uses an Adapter Protocol to target any stack, including React, Next.js, SwiftUI, Vue, Svelte, and Flutter.
- Accessibility First: Built-in WCAG 2.2 AA/AAA auditing and automated contrast validation scripts.
- Design Token Architecture: Implements a 3-tier hierarchy (Primitive $\rightarrow$ Semantic $\rightarrow$ Component) using the DTCG standard.
- Extensive Library: Includes 138 brand-grade design systems for visual direction and 50 detailed component specifications.
- Adversarial Review: Features a
/critiqueskill powered by adesign-criticagent that renders work and argues for rejection based on senior design evidence.
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