What problem does it solve? LLM-generated frontend code tends to fall back on the same templated aesthetic: AI-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 machine-generated. ## 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: Selects official packages (Fluent, Material, Carbon, Polaris, GOV.UK Frontend, shadcn/ui, Tailwind v4) when the brief matches a real system, and gives honest implementation guidance for aesthetics like glassmorphism, bento, and brutalism. - Anti-Slop Guardrails: Enforces hard rules on typography, color palettes, hero layout, eyebrows, CTA contrast, bento rhythm, and a mandatory pre-flight check before shipping. - Use Case: Ask the agent to redesign a portfolio homepage; it declares a design read, sets dials, picks fonts and an accent palette, builds the page with real images, and audits every section against the pre-flight checklist. ## Quick Start Ask the agent to design a landing page or portfolio from your brief, for example: build a minimalist landing page for my B2B SaaS product aimed at technical buyers.
