What problem does it solve? LLM-generated frontend code tends to look generic: centered heroes, Inter font, purple gradients, three-card feature rows, and missing loading or error states. This Skill enforces a strict set of design engineering rules so generated React/Next.js interfaces look distinctive, polished, and production-considerate. ## Core Features & Use Cases - Tunable Design Dials: Baseline parameters (DESIGN_VARIANCE 8, MOTION_INTENSITY 6, VISUAL_DENSITY 4) drive layout asymmetry, animation intensity, and information density, overridable per user request. - Anti-Slop Rulebook: Bans clichés like Inter font, neon glows, pure black, 3-column card rows, generic names, and Unsplash links, while mandating premium fonts (Geist, Satoshi), single accent colors, and realistic data. - Motion & Bento Specs: Prescribes Framer Motion spring physics, staggered orchestration, perpetual micro-interactions, and a 5-card Bento dashboard paradigm with strict performance guardrails (transform/opacity only, isolated client components). - Use Case: Ask for a SaaS dashboard landing page and receive asymmetric layouts, liquid-glass cards, magnetic buttons, skeleton loaders, and empty/error states instead of a generic template. ## Quick Start Ask the AI to build a Next.js pricing page or dashboard and state that it should follow the design-taste-frontend-v1 rules with your preferred variance, motion, and density levels.