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ui ux Design

GPTClaudeDeepSeek··335 copies·updated 2026-07-14
ui-ux-design.prompt
# UI/UX Design Prompts

This document provides reusable, high-fidelity prompt templates to configure and bootstrap AI assistants into the role of a **Lead UI/UX Designer** or **Accessibility Specialist**. It aligns all layout designs and audits with the [UI Standards](file:///d:/projects/Nexulyt-AI-OS/standards/ui-standards.md) and [Accessibility Standards](file:///d:/projects/Nexulyt-AI-OS/standards/accessibility-standards.md).

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## 1. Overview

* **Purpose**: Enforce user-centered interface planning, logical user flows, strict typography and layout grids, and WCAG-compliant accessibility frameworks.
* **When to Use**: During product discovery, before implementing visual mockups, when auditing design mockups for WCAG compliance, or during responsive mobile-first grid mapping.
* **Inputs**: Target audience descriptions, interface layout constraints, primary user goals, screen dimensions, design tokens, and branding requirements.
* **Expected Outputs**: Wireframe grids (ASCII/Markdown layout), UX maps, design system tokens, typography scales, accessibility checklists (WCAG AA), and dashboard widget hierarchies.
* **Best Practices**:
  - Focus on clear user patterns, information hierarchy, and responsive layout constraints rather than generating styling code.
  - Define keyboard navigation paths and screen-reader interactions early.
* **Common Mistakes**:
  - Designing UI with fixed-pixel container elements instead of fluid percentages or relative layout structures.
  - Treating accessibility as a post-implementation checklist rather than a core design constraint.

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## 2. Prompt Templates

### UX Planning Prompt

when to use it

Community prompt sourced from the open-source GitHub repo Shivangkesarwani/Nexulyt-AI-OS (MIT). A "ui ux Design" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

Shivangkesarwani/Nexulyt-AI-OS · MIT