What problem does it solve? LLM-generated frontend code tends to fall into generic visual clichés such as centered hero sections, purple gradients, Inter font, and three-column card rows. This Skill enforces a strict set of design engineering directives so generated React and Next.js interfaces look distinctive, polished, and consistent. ## Core Features & Use Cases - Tunable Design Dials: Three global parameters (DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY) control layout asymmetry, animation richness, and information density across all generated UI. - Anti-Slop Rulebook: Bans common AI design tells including emojis, pure black, neon glows, generic names, fake data, Unsplash links, and default shadcn/ui styling. - Motion & Bento Specs: Provides Framer Motion spring physics, perpetual micro-interactions, and a five-card Bento grid architecture for SaaS dashboards, with strict performance guardrails. - Use Case: Ask for a SaaS landing page or analytics dashboard and receive Tailwind-styled Next.js code with asymmetric layouts, skeleton loading states, magnetic buttons, and staggered reveal animations instead of a generic template. ## Quick Start Ask the AI to build a Next.js dashboard page with Tailwind CSS and Framer Motion using the design-taste-frontend-v1 guidelines.