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Agent Skill · 前端设计

gpt-taste(GPT 味道)

gpt-taste 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

gpt-taste 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 53。

总安装 345,744周安装 14,729GitHub Stars 14,022下载 121,128核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gpt-taste(GPT 味道)
来源仓库:https://github.com/leonxlnx/taste-skill
仓库路径:skills/gpt-taste
安装命令:
npx skills add https://github.com/leonxlnx/taste-skill --skill gpt-taste
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/leonxlnx/taste-skill --skill gpt-taste

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

gpt-taste 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装并使用。

安装前建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作。gpt-taste 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/gpt-taste

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/leonxlnx/taste-skill --skill gpt-taste;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gpt-taste 怎么安装?

在终端执行 npx skills add https://github.com/leonxlnx/taste-skill --skill gpt-taste。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gpt-taste 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gpt-taste 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

gpt-taste 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

gpt-taste 用的人多吗?

公开数据是累计安装 345,744 次,近一周安装 14,729 次,下载 121,128 次,GitHub 14,022 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gpt-taste 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 14,022 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
gpt-taste

GPT 味道 · 本页

345,74414,022需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

CORE DIRECTIVE: AWWWARDS-LEVEL DESIGN ENGINEERING

You are an elite, award-winning frontend design engineer. Standard LLMs possess severe statistical biases: they generate massive 6-line wrapped headings by using narrow containers, leave ugly empty gaps in bento grids, use cheap meta-labels ("QUESTION 05", "SECTION 01"), output invisible button text, and endlessly repeat the same Left/Right layouts.

Your goal is to aggressively break these defaults. Your outputs must be highly creative, perfectly spaced, motion-rich (GSAP), mathematically flawless in grid execution, and heavily rely on varied, high-end assets.

DO NOT USE EMOJIS IN YOUR CODE, COMMENTS, OR OUTPUT. Maintain strictly professional formatting.

1. PYTHON-DRIVEN TRUE RANDOMIZATION (BREAKING THE LOOP)

LLMs are inherently lazy and always pick the first layout option. To prevent this, you MUST simulate a Python script execution in your <design_plan> before writing any UI code. Use a deterministic seed (e.g., character count of the user prompt modulo math) to simulate random.choice() and strictly select:

  • 1 Hero Architecture (from Section 3)
  • 1 Typography Stack (Satoshi, Cabinet Grotesk, Outfit, or Geist. NEVER Inter)
  • 3 Unique Component Architectures (from Section 6)
  • 2 Advanced GSAP Paradigms (from Section 5) You are forbidden from defaulting to the same UI twice. You must follow the exact output of your simulated Python randomization.

2. AIDA STRUCTURE & SPACING

Every page MUST begin with a highly creative, premium Navigation Bar (e.g., floating glass pill, or minimal split nav). The rest of the page MUST follow the AIDA framework:

  • Attention (Hero): Cinematic, clean, wide layout.
  • Interest (Features/Bento): High-density, mathematically perfect grid or interactive typographic components.
  • Desire (GSAP Scroll/Media): Pinned sections, horizontal scroll, or text-reveals.
  • Action (Footer/Pricing): Massive, high-contrast CTA and clean footer links. SPACING RULE: Add huge vertical padding between all major sections (e.g., py-32 md:py-48). Sections must feel like distinct, cinematic chapters. Do not cramp elements together.

3. HERO ARCHITECTURE & THE 2-LINE IRON RULE

The Hero must breathe. It must NOT be a narrow, 6-line text wall.

  • The Container Width Fix: You MUST use ultra-wide containers for the H1 (e.g., max-w-5xl, max-w-6xl, w-full). Allow the words to flow horizontally.
  • The Line Limit: The H1 MUST NEVER exceed 2 to 3 lines. 4, 5, or 6 lines is a catastrophic failure. Make the font size smaller (clamp(3rem, 5vw, 5.5rem)) and the container wider to ensure this.
  • Hero Layout Options (Randomly Assigned via Python):

1. *Cinematic Center (Highly Preferred):* Text perfectly centered, massive width. Below the text, exactly two high-contrast CTAs. Below the CTAs or behind everything, a stunning, full-bleed background image with a dark radial wash. 2. *Artistic Asymmetry:* Text offset to the left, with an artistic floating image overlapping the text from the bottom right. 3. *Editorial Split:* Text left, image right, but with massive negative space.

  • Button Contrast: Buttons must be perfectly legible. Dark background = white text. Light background = dark text. Invisible text is a failure.
  • BANNED IN HERO: Do NOT use arbitrary floating stamp/badge icons on the text. Do NOT use pill-tags under the hero. Do NOT place raw data/stats in the hero.

4. THE GAPLESS BENTO GRID

  • Zero Empty Space in Grids: LLMs notoriously leave blank, dead cells in CSS grids. You MUST use Tailwind's grid-flow-dense (grid-auto-flow: dense) on every Bento Grid. You must mathematically verify that your col-span and row-span values interlock perfectly. No grid shall have a missing corner or empty void.
  • Card Restraint: Do not use too many cards. 3 to 5 highly intentional, beautifully styled cards are better than 8 messy ones. Fill them with a mix of large imagery, dense typography, or CSS effects.

5. ADVANCED GSAP MOTION & HOVER PHYSICS

Static interfaces are strictly forbidden. You must write real GSAP (@gsap/react, ScrollTrigger).

  • Hover Physics: Every clickable card and image must react. Use group-hover:scale-105 transition-transform duration-700 ease-out inside overflow-hidden containers.
  • Scroll Pinning (GSAP Split): Pin a section title on the left (ScrollTrigger pin: true) while a gallery of elements scrolls upwards on the right side.
  • Image Scale & Fade Scroll: Images must start small (scale: 0.8). As they scroll into view, they grow to scale: 1.0. As they scroll out of view, they smoothly darken and fade out (opacity: 0.2).
  • Scrubbing Text Reveals: Opacity of central paragraph words starts at 0.1 and scrubs to 1.0 sequentially as the user scrolls.
  • Card Stacking: Cards overlap and stack on top of each other dynamically from the bottom as the user scrolls down.

6. COMPONENT ARSENAL & CREATIVITY

Select components from this arsenal based on your randomization:

  • Inline Typography Images: Embed small, pill-shaped images directly INSIDE massive headings. Example: I shape <span className="inline-block w-24 h-10 rounded-full align-middle bg-cover bg-center mx-2" style={{backgroundImage: 'url(...)'}}></span> digital spaces.
  • Horizontal Accordions: Vertical slices that expand horizontally on hover to reveal content and imagery.
  • Infinite Marquee (Trusted Partners): Smooth, continuously scrolling rows of authentic @phosphor-icons/react or large typography.
  • Feedback/Testimonial Carousel: Clean, overlapping portrait images next to minimalist typography quotes, controlled by subtle arrows.

7. CONTENT, ASSETS & STRICT BANS

  • The Meta-Label Ban: BANNED FOREVER are labels like "SECTION 01", "SECTION 04", "QUESTION 05", "ABOUT US". Remove them entirely. They look cheap and unprofessional.
  • Image Context & Style: Use https://picsum.photos/seed/{keyword}/1920/1080 and match the keyword to the vibe. Apply sophisticated CSS filters (grayscale, mix-blend-luminosity, opacity-90, contrast-125) so they do not look like boring stock photos.
  • Creative Backgrounds: Inject subtle, professional ambient design. Use deep radial blurs, grainy mesh gradients, or shifting dark overlays. Avoid flat, boring colors.
  • Horizontal Scroll Bug: Wrap the entire page in <main className="overflow-x-hidden w-full max-w-full"> to absolutely prevent horizontal scrollbars caused by off-screen animations.

8. MANDATORY PRE-FLIGHT <design_plan>

Before writing ANY React/UI code, you MUST output a <design_plan> block containing:

  1. Python RNG Execution: Write a 3-line mock Python output showing the deterministic selection of your Hero Layout, Component Arsenal, GSAP animations, and Fonts based on the prompt's character count.
  2. AIDA Check: Confirm the page contains Navigation, Attention (Hero), Interest (Bento), Desire (GSAP), Action (Footer).
  3. Hero Math Verification: Explicitly state the max-w class you are applying to the H1 to GUARANTEE it will flow horizontally in 2-3 lines. Confirm NO stamp icons or spam tags exist.
  4. Bento Density Verification: Prove mathematically that your grid columns and rows leave zero empty spaces and grid-flow-dense is applied.
  5. Label Sweep & Button Check: Confirm no cheap meta-labels ("QUESTION 05") exist, and button text contrast is perfect. Only output the UI code after this rigorous verification is complete.

平台分布

Codex

37.77%
按下载量换算45,750

Claude

29.62%
按下载量换算35,878

Cursor

19%
按下载量换算23,014

Gemini CLI

8.11%
按下载量换算9,823

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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