What problem does it solve? LLM-generated frontend code tends to fall back on the same templated aesthetic: purple gradients, centered heroes, three equal feature cards, and Inter on slate. This Skill forces the agent to read the brief first, infer the right design direction, and ship landing pages, portfolios, and redesigns 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 and Anti-Slop Rules: Selects real design systems (Fluent, Material, Carbon, shadcn/ui, Tailwind v4) when applicable, and enforces hard layout, typography, color, and accessibility rules plus a pre-flight check. - Use Case: Ask for a redesign of a premium consumer cookware landing page and receive a React/Next.js + Tailwind implementation with a deliberate palette, varied section layouts, real image assets, and no AI-default clichés. ## Quick Start Use the design-taste-frontend skill to build a landing page for my B2B SaaS product with a Linear-style minimalist feel.
