What problem does it solve? AI-generated frontend code often falls into generic visual clichés such as centered hero sections, purple gradients, Inter font, and three-column card rows. This Skill encodes a strict set of design-engineering rules so generated React and Next.js interfaces avoid those patterns and follow consistent typography, color, layout, and motion standards. ## Core Features & Use Cases - Tunable design dials: DESIGN_VARIANCE, MOTION_INTENSITY, and VISUAL_DENSITY baselines drive layout asymmetry, animation depth, and information density per generation. - Bias-correction rules: Bans Inter font, neon glows, pure black, generic names, fake data, and 3-column card layouts while enforcing Tailwind version checks and dependency verification against package.json. - Motion and Bento patterns: Specifies Framer Motion spring physics, staggered orchestration, perpetual micro-interactions, and a five-card Bento dashboard archetype with performance guardrails. - Use Case: Ask for a SaaS dashboard landing page and receive a Next.js component using Geist typography, a single desaturated accent color, an asymmetric hero, skeleton loading states, and spring-animated Bento cards. ## Quick Start Ask the AI to build a landing page or dashboard component and let the design-taste-frontend-v1 rules shape the typography, layout, color, and motion of the generated code.