UI Design AI Tool Plus

Problem

When building UI for a mobile app, WeChat mini program, or Windows desktop, the hard part is not simply generating a page. It is making the page match the target platform's design language: iOS typography and corner-radius rules, Android Material You, Windows Fluent materiality and mouse-and-keyboard interaction, and WeChat ecosystem constraints. Relying on generic web templates often produces UI that feels like a responsive website rather than a platform-specific product.

How It Works

ui-design-aitool-plus starts by locking three key constraints: target style, color direction, and device scope. This prevents the model from assuming a visual direction when the user's intent is unclear. After confirmation, it follows a structured workflow:

• Style routing: selects a base specification from 11 platform styles, including iOS, Android, HarmonyOS, One UI, Fluent, and WeUI, and can layer in brand design language.
• Design tokens: outputs CSS variables for color, typography, spacing, radius, shadow, and motion, creating a shared parameter set for components and pages.
• Component specs: covers navigation, buttons, inputs, cards, modals, and other components across default, hover, disabled, and loading states, with attention to light/dark themes and touch targets.
• Prototype and delivery: prioritizes interactive HTML prototypes, with optional outputs for Figma, MasterGo, Pixso, JsDesign, MockingBot, Lanhu, or Markdown documentation.

Rather than treating style as vague mood-board language, it converts platform or brand specifications into inspectable design parameters, reducing subjective judgments such as “it should feel like iOS.”

Boundaries

This skill fits high-fidelity UI generation when the page goal is already clear, such as home, list, detail, settings, or form pages. Users still need to provide business modules, fields, and interaction priorities. If style, color, or device scope is missing, the skill asks first instead of guessing. The output can support frontend prototyping, design collaboration, and specification docs, but production use still requires real assets, brand resources, and an engineering component system.