Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
UI/UX design intelligence and implementation guidance for building polished interfaces. Use when the user asks for UI design, UX flows, information architect...
UI/UX design intelligence and implementation guidance for building polished interfaces. Use when the user asks for UI design, UX flows, information architect...
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Ask only what you must to avoid wrong work: Target platform: web / iOS / Android / desktop Stack (if code changes): React/Next/Vue/Svelte, CSS/Tailwind, component library Goal and constraints: conversion, speed, brand vibe, accessibility level (WCAG AA?) What you have: screenshot, Figma, repo, URL, user journey If the user says "ε ¨ι¨ι½θ¦" (design + UX + code + design system), treat it as four deliverables and ship in that order.
Always be concrete: name components, states, spacing, typography, and interactions. UI concept + layout: Provide a clear visual direction, grid, typography, color system, key screens/sections. UX flow: Map the user journey, critical paths, error/empty/loading states, edge cases. Design system: Tokens (color/typography/spacing/radius/shadow), component rules, accessibility notes. Implementation plan: Exact file-level edits, component breakdown, and acceptance criteria.
This skill bundles data you can cite for inspiration/standards. Design intelligence data: Read from skills/ui-ux-pro-max/assets/data/ when you need palettes, patterns, or UI/UX heuristics. Upstream reference: If you need more phrasing/examples, consult skills/ui-ux-pro-max/references/upstream-skill-content.md.
If you need to quickly generate tokens and page-specific overrides, use the bundled script: python3 skills/ui-ux-pro-max/scripts/design_system.py --help Prefer running it when the user wants a structured token output (ASCII-friendly).
Default to ASCII-only tokens/variables unless the project already uses Unicode. Include: spacing scale, type scale, 2-3 font pair options, color tokens, component states. Always cover: empty/loading/error, keyboard navigation, focus states, contrast.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.