What problem does it solve? Designing consistent, professional UI requires recalling hundreds of style rules, color palettes, font pairings, and framework-specific best practices, which is slow and error-prone when done from memory. ## Core Features & Use Cases - Searchable design database: BM25 keyword search across 8 domains (style, color, typography, chart, landing, product, UX, prompt) stored as CSV files. - Stack-specific guidelines: Best-practice rules with good/bad code examples for html-tailwind, React, Next.js, Vue, Svelte, SwiftUI, React Native, and Flutter. - Use Case: When asked to build a landing page for a beauty service, run several search.py queries for product, style, typography, color, and UX domains, then synthesize the results into a complete design system and implementation. ## Quick Start Ask the AI to design a landing page for your product and it will search the UI/UX database for matching styles, palettes, fonts, and stack guidelines before writing the code.