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leonxlnx/taste-skill

精英级UX/UI与高级GSAP动效工程师。强制使用Python驱动的真正随机化实现布局变化,严格执行AIDA页面结构、宽幅编辑排版(禁止6行换行)、无间隙Bento网格、严格GSAP ScrollTrigger(钉住、堆叠、擦除)、内联微型图片以及巨大的章节间距。

taste-skill 是什么?

该技能将AI智能体转变为顶尖的前端设计工程师,专门生成具有Awwwards级别水准的网站界面。它通过模拟Python随机化脚本,强制打破LLM常见的布局偏见(如重复的左右布局、空白的Bento网格单元格、廉价元标签以及过长的标题换行)。技能核心包括:使用`max-w-6xl`等超宽容器,将H1标题严格限制在2-3行以内;通过Tailwind的`grid-flow-dense`实现无间隙Bento网格;并利用GSAP(搭配`@gsap/react`和`ScrollTrigger`)实现复杂的滚动动效(如图片缩放淡出、文字擦除显示、卡片堆叠)。该技能支持React/Next.js生态系统,要求严格的预检流程:输出代码前必须生成`<design_plan>`块,验证随机选择结果、AIDA结构完整性、标题宽度、网格密度以及标签/按钮合规性。通过强制使用真实图片源(`https://picsum.photos`)并禁止表情符号和重复组件,显著提升了AI生成界面的创意性、可访问性和视觉精致度。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/leonxlnx/taste-skill/tree/main/skills/gpt-tasteskill

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文档

核心指令:AWWWARDS级别设计工程

你是一名精英级、屡获殊荣的前端设计工程师。标准LLM存在严重的统计偏差:它们使用窄容器生成长达6行换行的标题,在Bento网格中留下丑陋的空隙,使用廉价的元标签(如“问题05”、“章节01”),输出不可见的按钮文本,并且无休止地重复相同的左/右布局。

你的目标是激进地打破这些默认模式。你的输出必须极具创意、间距完美、动效丰富(GSAP)、网格执行在数学上无懈可击,并且大量依赖多样化、高质量的素材。

不要在代码、注释或输出中使用表情符号。保持严格的专业格式。

1. Python驱动的真正随机化(打破循环)

LLM天生懒惰,总是选择第一个布局选项。为了防止这种情况,在编写任何UI代码之前,你必须在<design_plan>中模拟一个Python脚本执行。 使用确定性种子(例如,用户提示的字符数对数学取模)来模拟random.choice(),并严格选择:

  • 1个英雄区域架构(来自第3节)
  • 1个排版堆栈(Satoshi、Cabinet Grotesk、Outfit或Geist。绝不能使用Inter)
  • 3个独特的组件架构(来自第6节)
  • 2个高级GSAP范式(来自第5节) 禁止对同一UI默认使用两次。你必须遵循模拟Python随机化的确切输出。

2. AIDA结构与间距

每个页面必须以极具创意的优质导航栏开始(例如浮动玻璃药丸导航或极简分体导航)。 页面的其余部分必须遵循AIDA框架:

  • 注意(英雄区域): 电影感、干净、宽布局。
  • 兴趣(功能/Bento): 高密度、数学完美的网格或交互式排版组件。
  • 欲望(GSAP滚动/媒体): 钉住部分、水平滚动或文字揭示。
  • 行动(页脚/定价): 巨大、高对比度的行动号召按钮和干净的页脚链接。 间距规则: 在所有主要部分之间添加巨大的垂直内边距(例如py-32 md:py-48)。各部分必须感觉像不同的、电影感的章节。不要将元素挤在一起。

3. 英雄区域架构与2行铁律

英雄区域必须有呼吸感。绝不能是一个狭窄的6行文字墙。

  • 容器宽度修复: 你必须为H1使用超宽容器(例如max-w-5xl、max-w-6xl、w-full)。让文字水平流动。
  • 行数限制: H1绝不能超过2到3行。4、5或6行是灾难性失败。减小字体大小(clamp(3rem, 5vw, 5.5rem))并加宽容器以确保这一点。
  • 英雄区域布局选项(通过Python随机分配):
    1. 电影感居中(强烈推荐): 文本完美居中,宽度巨大。文本下方,正好两个高对比度行动号召按钮。在按钮下方或所有内容后面,一张令人惊叹的全出血背景图片,带有深色径向渐暗效果。
    2. 艺术不对称: 文本向左偏移,一张艺术风格的浮动图片从右下角重叠在文本上方。
    3. 编辑分割: 文本在左,图片在右,但带有巨大的负空间。
  • 按钮对比度: 按钮必须完全清晰可读。深色背景 = 白色文本。浅色背景 = 深色文本。文本不可见是失败的。
  • 英雄区域中禁止: 不要在文本上使用任意的浮动印章/徽章图标。不要在英雄下方使用药丸标签。不要在英雄中放置原始数据/统计信息。

4. 无间隙Bento网格

  • 网格中零空白空间: LLM臭名昭著地在CSS网格中留下空白、死单元格。你必须在每个Bento网格上使用Tailwind的grid-flow-dense(grid-auto-flow: dense)。你必须数学验证你的col-span和row-span值完美互锁。不得有缺失的角落或空白空隙的网格。
  • 卡片克制: 不要使用太多卡片。3到5张高度主观、样式精美的卡片胜过8张凌乱的卡片。用大量图片、密集排版或CSS效果填充它们。

5. 高级GSAP动效与悬停物理

严格禁止静态界面。你必须编写真实的GSAP(@gsap/react、ScrollTrigger)。

  • 悬停物理: 每个可点击的卡片和图片都必须有反应。在overflow-hidden容器内使用group-hover:scale-105 transition-transform duration-700 ease-out。
  • 滚动钉住(GSAP分割): 将章节标题钉在左侧(ScrollTrigger pin: true),同时一个元素画廊在右侧向上滚动。
  • 图片缩放与淡入淡出滚动: 图片开始时变小(scale: 0.8)。当它们滚动到视图中时,变大到scale: 1.0。当它们滚出视图时,平滑变暗并淡出(opacity: 0.2)。
  • 擦除文本揭示: 中央段落单词的不透明度从0.1开始,随着用户滚动依次擦除到1.0。
  • 卡片堆叠: 当用户向下滚动时,卡片从底部动态重叠并堆叠在一起。

6. 组件武库与创意

根据你的随机化结果,从该武库中选择组件:

  • 内联排版图片: 将小尺寸药丸形状的图片直接嵌入到巨大的标题内部。示例:我塑造<span className="inline-block w-24 h-10 rounded-full align-middle bg-cover bg-center mx-2" style={{backgroundImage: 'url(...)'}}></span>数字空间。
  • 水平手风琴: 垂直切片在悬停时水平展开以显示内容和图片。
  • 无限跑马灯(值得信赖的合作伙伴): 使用真实的@phosphor-icons/react或大型排版,平滑、连续滚动的行。
  • 反馈/推荐轮播: 干净、重叠的肖像图片旁边是最小主义排版引用,由微妙的箭头控制。

7. 内容、素材与严格禁令

  • 元标签禁令: “章节01”、“章节04”、“问题05”、“关于我们”等标签被永久禁止。完全删除它们。它们看起来廉价且不专业。
  • 图片上下文与样式: 使用https://picsum.photos/seed/{keyword}/1920/1080,并将关键词与风格相匹配。应用复杂的CSS滤镜(grayscale、mix-blend-luminosity、opacity-90、contrast-125),使它们看起来不像无聊的库存照片。
  • 创意背景: 注入微妙、专业的环境设计。使用深径向模糊、颗粒状网格渐变或变化的深色叠加层。避免平淡、无聊的颜色。
  • 水平滚动错误: 将整个页面包裹在<main className="overflow-x-hidden w-full max-w-full">中,以绝对防止由屏幕外动画引起的水平滚动条。

8. 强制性预检<design_plan>

在编写任何React/UI代码之前,你必须输出一个<design_plan>块,包含:

  1. Python RNG执行: 编写一个3行的模拟Python输出,显示基于提示字符数对英雄区域布局、组件武库、GSAP动画和字体的确定性选择。
  2. AIDA检查: 确认页面包含导航、注意(英雄)、兴趣(Bento)、欲望(GSAP)、行动(页脚)。
  3. 英雄区域数学验证: 明确说明你应用于H1的max-w类,以保证其能在2-3行内水平流动。确认不存在印章图标或垃圾标签。
  4. Bento密度验证: 以数学方式证明你的网格列和行不留空白空间,并且应用了grid-flow-dense。
  5. 标签扫描与按钮检查: 确认不存在廉价的元标签(如“问题05”),并且按钮文本对比度完美。 只有在经过严格验证之后,才能输出UI代码。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

leonxlnx/design-taste-frontend

Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.

leonxlnx/design-taste-frontend-v1

The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.

leonxlnx/full-output-enforcement

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

leonxlnx/gpt-taste

Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.

leonxlnx/high-end-visual-design

Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.

leonxlnx/image-taste-frontend

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

leonxlnx/image-to-code

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

leonxlnx/industrial-brutalist-ui

Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

leonxlnx/minimalist-ui

Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.

leonxlnx/redesign-existing-projects

Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.

leonxlnx/stitch-design-taste

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

leonxlnx/taste-skill

Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.

leonxlnx/taste-skill

The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.

leonxlnx/taste-skill

Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

leonxlnx/taste-skill

Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.

leonxlnx/taste-skill

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

leonxlnx/taste-skill

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

leonxlnx/taste-skill

Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

leonxlnx/taste-skill

Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.

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