What problem does it solve? LLM-generated frontend code tends to fall into generic, clichéd patterns: centered heroes, purple gradients, Inter font, three-column card rows, and static UIs with no 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-grade. ## Core Features & Use Cases - Design Bias Correction: Bans common AI tells (Inter font, neon glows, pure black, generic names like "John Doe", Unsplash links) and enforces deterministic typography, single-accent color calibration, and asymmetric layouts. - Tunable Design Dials: Three global variables (DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY) drive layout asymmetry, animation intensity, and information density across all generated components. - Motion & Bento Specs: Provides Framer Motion spring physics, perpetual micro-interactions, staggered orchestration, and a 5-card Bento grid paradigm for SaaS dashboards, with strict performance guardrails (transform/opacity only, isolated client components). - Use Case: Ask for a SaaS landing page or analytics dashboard and receive Tailwind-styled Next.js code with split-screen heroes, magnetic buttons, skeleton loaders, and empty/error states instead of a generic centered template. ## Quick Start Ask the agent to build a React dashboard or landing page and it will apply these design rules, motion specs, and anti-cliché constraints to the generated code.