What problem does it solve? LLM-generated frontend code tends to produce generic, clichéd interfaces with centered heroes, purple gradients, Inter font, and static states. This Skill enforces a strict set of design engineering directives so generated React/Next.js UI code avoids common AI design tells and follows consistent typography, color, layout, and motion standards. ## Core Features & Use Cases - Tunable Design Dials: Three global variables (DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY) drive layout asymmetry, animation intensity, and information density across all generated components. - Anti-Slop Rule Set: Bans generic patterns such as neon glows, pure black, 3-column card rows, Inter font, fake placeholder data, and Unsplash links, replacing them with concrete alternatives. - Motion & Bento Specs: Provides Framer Motion spring physics, staggered orchestration, perpetual micro-interactions, and a five-card Bento grid architecture for SaaS dashboards. - Use Case: Ask the AI to build a SaaS dashboard landing page, and it will produce a left-aligned asymmetric hero, a Bento grid with infinitely looping micro-animations, skeleton loading states, and Tailwind styling verified against your package.json. ## Quick Start Use the design-taste-frontend-v1 skill to build a pricing page for my Next.js app with Tailwind and Framer Motion.