Skill UI

This skill generates a comprehensive spacing and layout token system for Figma. It establishes foundational design rules, including a scalable spacing scale (e.g., 4px/8px base), responsive grid definitions for various breakpoints, and component-specific spacing conventions. It ensures design consistency and provides clear guidelines for developer handoff.

A comprehensive design and implementation guide for achieving Controlled Maximalism. This style is ideal when the content is extremely dense, rich, and contains numerous elements, but requires an underlying highly structured, elegant, and curated presentation. Includes detailed CSS Grid, SwiftUI, Flutter, and React Native examples.

A comprehensive guide to implementing the Swiss Design (International Typographic Style). This style emphasizes absolute mathematical grids, clean sans-serif typography (like Helvetica), and asymmetrical layouts. It is ideal for users requiring highly structured, minimal, and objective visual communication across web and mobile platforms.

This guide details the principles and technical implementation of widget-based user interfaces, mimicking the aesthetic of modern mobile operating systems (like iOS Home Screen). It covers core design principles such as strict aspect ratios, glanceability, and corner radius matching. Practical code examples are provided for Web (CSS Grid), iOS (SwiftUI), and Cross-platform (Flutter) development, enabling designers to create modular, highly functional mini-apps.

A sophisticated and print-friendly presentation template designed for explaining complex system architectures and data pipelines. Featuring a blueprint grid, cream background, and rust red accents, this deck is ideal for technical deep dives in engineering and system design.

This guide provides critical structuring advice for authors submitting ML Systems papers, focusing on the strategic division of content between the mandatory 10-page body and the unlimited supplementary appendix. It outlines which material belongs in the main text (claims that must be believed) versus what belongs in the appendix (material that must be verifiable evidence, such as full hyperparameter grids or deep ablations).