Taste Skill
Taste Skill is a design skill pack for AI coding tools. It writes design decisions like layout variation, typography hierarchy, and motion rules into instruction files, allowing AI to make decisions by rules rather than generating interfaces based on the default patterns in its training data.
What is the "AI flavor" in AI-generated interfaces
When using Claude Code or Cursor to write front-end code, after describing the desired effect for a long time, the generated interface usually looks like this: a large centered heading, followed by a subtitle, and a CTA button below.
The color scheme is either blue-white or dark gray. Cards are divided into four equal columns, spacing is uniform, and border radius is moderate.
It looks clean overall, but you can't quite put your finger on what's wrong — it just feels like a template.
Generate it for another project, and the output is highly similar to the last time. Switch again, and it's still more or less the same.
It's not that the code has problems — it runs perfectly fine. It's just that visually it's too "AI-flavored"; you can tell at a glance it was machine-generated.
Why does AI always generate "AI-flavored" interfaces
AI generates interfaces by extracting patterns from training data, so what it writes naturally tends towardthe most frequently occurring patterns。
Developer tutorials, component library examples, open-source projects on GitHub — the most common interfaces in this data are those with correct functionality and conventional layouts.
What AI learns is"how to write an interface without problems,"rather than "how to write an interface with design sensibility."
The result: the output is functionally complete but visually ordinary. Every decision is the safest one: centered layout carries the least risk, standard spacing is the easiest, and mainstream color schemes are the least likely to go wrong.
This problem is hard to fundamentally solve with prompts. You can describe "modern," "premium," or "designed," but these words are too vague for AI, and the result is usually the same old thing with a bit of gradient added.
Taste Skill's solution approach
Taste Skill's approach is straightforward: it takes concrete design decisions like layout variation, typography hierarchy, motion rules, and spacing logicconcrete design decisionsand writes them into instruction files AI can understand (SKILL.md).
It lets AI load these rules before generating interfaces and make decisions according to the rules, rather than following the most common patterns in training data.
It's equivalent to giving AI a set ofdesign preferences,pushing the generated results from "functionally correct" toward "visually interesting."
| Project | Info |
|---|---|
| GitHub Repository | https://github.com/Leonxlnx/taste-skill |
| License | MIT |
| Supported Tools | Claude Code、Cursor、Codex、ChatGPT |
Installation
Install all skill packs with a single command.
# 安装全部技能包 npx skills add https://github.com/Leonxlnx/taste-skill
If you only need a specific skill pack, add--skilla parameter to specify it.
# 只安装默认主技能 npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"
After installation, the AI tool will automatically load the corresponding SKILL.md file when generating interfaces. You don't need to modify project configuration or write additional prompts.
Quick Start
After installation, just have AI generate interfaces as usual — no need to change prompts.
# 像平时一样描述需求即可 做一个 SaaS 产品的落地页，有导航、Hero 区域、功能介绍和定价表
At this point, AI will first read Taste Skill's rules, then generate code.
Compared to what was generated before installation, layout variation, typography hierarchy, and motion handling will all be different.
Skill pack categories and selection
Taste Skill is split into several independent skill packs, each doing one thing. Choose based on your needs; you don't need to install all of them.
Interface generation
These skill packs directly affect AI's design decisions when generating interfaces and are the most commonly used.
| Skill pack | Installation parameter | Style characteristics | Applicable scenarios |
|---|---|---|---|
| design-taste-frontend | --skill "design-taste-frontend" | Automatically infers design language, generates based on three dimensions: layout variation, motion depth, and information density | Most projects; the default first choice |
| high-end-visual-design | --skill "high-end-visual-design" | Restrained contrast, generous whitespace, refined typography, springy motion | Brand-heavy product landing pages, marketing pages |
| minimalist-ui | --skill "minimalist-ui" | Restrained color palette, clear structure, no unnecessary decoration, close to Notion / Linear style | Internal tools, admin dashboards |
| industrial-brutalist-ui | --skill "industrial-brutalist-ui" | Swiss typography style, high contrast, bold layouts, unconventional compositions | Creative projects |
Default main skilldesign-taste-frontendThis is the v2 version, the most versatile. It automatically reads your requirements, infers a suitable design language, then generates code along three dimensions. For most projects, starting here is sufficient.
# 安装默认主技能（推荐先装这个试试） npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"
Workflow assistance
These skill packs solve problems in AI's workflow and don't directly control visual style.
| Skill pack | Problem solved | Usage |
|---|---|---|
| redesign-existing-projects | Refactoring existing project interfaces — audit first, then modify, rather than changing blindly | After installation, tell AI: "Audit the current interface according to the skill, find problems, then modify" |
| full-output-enforcement | AI stops midway through generation, leaving// TODOcommented-out issues | Takes effect automatically after installation, forcing AI to output complete code |
# 安装改造现有项目的技能包 npx skills add https://github.com/Leonxlnx/taste-skill --skill "redesign-existing-projects"
After installation, tell AI "Audit the current interface according to the skill, find problems, then modify." It will analyze first before acting and won't make random changes.
Image generation
These three skill packs are used to generate design reference images. They don't output code; use them with tools like ChatGPT Images, then hand the results to a coding AI for implementation.
| Skill pack | Output content | Companion tools |
|---|---|---|
| imagegen-frontend-web | Web design mockup reference images | ChatGPT Images, etc. |
| imagegen-frontend-mobile | Mobile interface reference images | ChatGPT Images, etc. |
| brandkit | Brand visual board (logo direction, color palette, typography) | ChatGPT Images, etc. |
Three adjustable parameters
Default main skilldesign-taste-frontendhas three numeric parameters ranging from 1-10, which you can adjust by directly editing the SKILL.md file.
| Parameter | What it controls | Low values (1-3) | High values (7-10) | Adjustment suggestions |
|---|---|---|---|---|
| DESIGN_VARIANCE | Layout variation | Centered, symmetrical, orderly | Asymmetrical, modern | Landing pages can be set higher; form pages should stay low |
| MOTION_INTENSITY | Motion depth | Hover effects only | Scroll animations, magnetic effects | Push higher for pages that need strong motion |
| VISUAL_DENSITY | Information density | Generous whitespace, breathing room | Dense information display | Content display pages lower; data dashboards higher |
# 编辑 SKILL.md 调整参数（找到以下三行修改数值即可） DESIGN_VARIANCE 7 # 布局变化幅度，1-10，想更现代就调高 MOTION_INTENSITY 5 # 动效深度，1-10，落地页可以推到 8 VISUAL_DENSITY 3 # 信息密度，1-10，内容展示页保持低值
Save after editing, and AI will follow the new parameters the next time it generates.
A few things to know before using
v2 is still being iterated on
The default main skill is currently the v2 experimental version. The official note says "actively iterating toward v2.0.0 stable," so behavior may occasionally change.
If you need stable, predictable results, use v1.
# 安装 v1 稳定版 npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend-v1"
It affects design decisions, not code quality
Taste Skill changes AI's tendencies in layout, typography, and motion —it does not handle functional logic or code structure issues.。
If the generated code has bugs, this isn't something it can solve.
Effectiveness depends on the AI tool's understanding of SKILL.md
Different AI tools vary in how faithfully they follow skill files.
Claude Code and Cursor usually execute them faithfully; with ChatGPT you can directly paste SKILL.md into the conversation.
Framework-agnostic
The rules target design intent and aren't tied to a specific framework; React, Vue, and Svelte all work.
| Notes | Description | How to handle |
|---|---|---|
| v2 is still being iterated on | Behavior changes occasionally, not stable enough | Use v1 when you need stable results |
| Only affects design decisions | Doesn't handle functional logic or code structure issues | Code bugs need to be solved by other means |
| Tools vary | Different AI tools comply to varying degrees | ChatGPT can directly paste SKILL.md into the conversation |
| Framework agnostic | Rules target design intent, not bound to a framework | React / Vue / Svelte can all be used |
Quick start recommendations
If you use Claude Code or Cursor for frontend development, you can install the default main skill and try it out.
# 第一步：安装默认主技能 npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"
Then have the AI generate a page you have made before, compare it with the original result, and see where the differences are.
If you need to refactor an existing project, tryredesign-existing-projects, letting the AI analyze before taking action is much more controllable than directly saying "make it look better for me."
Other extensionsProject address:https://github.com/Leonxlnx/taste-skill