What problem does it solve? LLM-generated frontend code tends to look templated: AI-purple gradients, centered heroes, three equal feature cards, and generic glassmorphism. This Skill forces the agent to read the brief first, infer the right design direction, and ship interfaces that do not look like default AI output. ## Core Features & Use Cases - Brief Inference and Design Read: Analyzes page kind, vibe words, references, audience, and constraints, then declares a one-line design read before writing any code. - Three-Dial Configuration: Tunes DESIGN_VARIANCE, MOTION_INTENSITY, and VISUAL_DENSITY based on the brief, with presets for SaaS landings, portfolios, editorial sites, and public-sector services. - Design System Mapping: Routes briefs to official packages (Fluent, Material, Carbon, Polaris, GOV.UK, shadcn/ui, Tailwind v4) instead of hand-rolled imitations, with honesty rules for aesthetics like glassmorphism and bento grids. - Hard Layout and Pre-Flight Rules: Enforces hero viewport fit, eyebrow restraint, CTA contrast and wrap checks, palette locks, and section-layout diversity to catch broken design before shipping. - Use Case: Ask for a premium consumer cookware landing page and get a React/Tailwind build with a non-default palette, real image assets, asymmetric layout, and a passing pre-flight audit instead of beige-and-brass slop. ## Quick Start Redesign my SaaS landing page so it looks like a deliberate Linear-style design rather than a generic AI template.
