AI Color System
Description
从品牌情感关键词生成完整 UI 色彩系统 · AI Skill for Cursor / Codex / Claude / Copilot / OpenClaw
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
AI Color System
**从品牌情感关键词生成完整 UI 色彩系统** **Generate a full UI color system from brand emotion keywords**
[](color-system/LICENSE.txt)
适用于 Cursor · Codex · Claude · ChatGPT · Copilot · Cline Works with Cursor · Codex · Claude · ChatGPT · Copilot · Cline
简介 · Overview
从品牌情感出发,由 AI 生成完整 UI 色彩系统:品牌色 / 背景 / 文字 / 语义色、亮色与深色双模式、10 级色阶、WCAG 2.1 AA 对比度校验,以及 iOS / Android Token 命名与可交互 HTML 色板。连接 Figma MCP 时,可将色值直接写入 Variables。
Starting from brand emotion keywords, the AI generates a production-ready UI color system: brand / background / text / semantic colors, light & dark modes, 10-step scales, WCAG 2.1 AA contrast checks, iOS & Android token mapping, and an interactive HTML palette widget. With Figma MCP connected, tokens can be written directly to Variables.
效果预览 · Preview
| 输出 · Output | 说明 · Description |
|---|---|
| 情感映射分析 · Emotion mapping | 每个关键词 → 色相、饱和度、明度、质感、对比度策略 / Each keyword → hue, saturation, lightness, texture, contrast strategy |
| HTML 色板 · Palette widget | 亮/暗切换、色阶展示、WCAG pass/fail 表 / Light/dark toggle, scale display, WCAG pass/fail table |
| Token 映射 · Token mapping | Figma → iOS Asset Catalog → Android Material 3 |
| Figma Variables(可选 · optional) | 双 Mode 写入 Primitive + Semantic 层 / Dual-mode write to Primitive + Semantic layers |
📄 完整示例 · Full example: [Stillness 冥想 App](color-system/references/example-output.md)
快速开始 · Quick Start
git clone https://github.com/yuqizhang1228-blip/AI-color-system.git
cd AI-color-system
在 AI 工具中发送 / Send to your AI agent:
帮我为「夜语」做一个色彩系统:
- 定位:面向年轻人的夜间阅读 App
- 情感:安静、神秘、专注
- 平台:iOS,夜间使用为主
Create a color system for "Nocturne":
- A night-reading app for young adults
- Emotions: calm, mysterious, focused
- Platform: iOS, night-first usage
Agent 会先收集品牌名、定位、情感词与平台,再输出分析 + HTML widget + Token 建议。 The agent collects brand name, positioning, emotion keywords, and platform, then outputs an
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