What problem does it solve? Designing professional frontend interfaces requires choosing the right style, colors, typography, and layout patterns, which is time-consuming without a structured reference. This Skill provides a searchable design database so AI agents can ground UI/UX decisions in curated guidelines before writing code. ## Core Features & Use Cases - BM25 Design Search: Query 8 domains (style, color, typography, chart, landing, product, UX, prompt) via a Python CLI backed by CSV datasets. - Stack-Specific Guidelines: Retrieve best practices for 8 stacks including React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, and html-tailwind. - Pre-Delivery Quality Rules: Built-in checklists for icons, hover states, light/dark mode contrast, layout spacing, and accessibility. - Use Case: When asked to build a landing page for a beauty spa, the agent searches product, style, typography, color, and landing domains, then synthesizes the results into a complete design system before implementing the page. ## Quick Start Ask the AI to design a landing page or dashboard and it will search the ui-ux-pro-max database for matching styles, palettes, and fonts before generating the code.