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Taste Skill is a design skill pack for AI programming tools. It encodes design decisions like layout variations, typographic hierarchy, and motion rules into instruction files, allowing AI to make decisions by rules rather than generating interfaces based on default patterns from training data. * * * ## What is the "AI Taste" in AI-Generated Interfaces When using Claude Code or Cursor to write frontend code, after describing the desired effect at length, the generated interface usually looks like this: a large centered headline, a subtitle following it, and a CTA button below. The color scheme is either blue-white or dark gray. Cards are divided into four equal parts, with even spacing and moderate border radius. Overall it looks clean, but something feels off -- it just feels like a template. Switch to another project and generate again, the output is highly similar to the last one. Switch once more, still more or less the same. It's not that the code has problems; it runs perfectly fine. It's just visually too "AI-tasting," recognizable as machine-generated at a glance. * * * ## Why AI Always Generates "AI-Tasting" Interfaces AI generates interfaces by extracting patterns from training data, so what it writes naturally tends toward the most frequently occurring kind. Developer tutorials, component library examples, open-source projects on GitHub -- the majority of this data consists of functionally correct, conventionally laid out interfaces. What AI learns is "how to write an interface without problems," not "how to write an interface with design sense." The result: generated outputs function well but look ordinary visually. Every decision is the safest one: centered layouts carry the lowest risk, standard spacing is the easiest, mainstream color schemes are least likely to go wrong. > This problem is hard to fundamentally solve through prompts. You can describe "modern," "premium," or "design-forward," but these terms are too vague for AI, and the results usually end up being the same old stuff with some gradients added. * * * ## Taste Skill's Solution Approach Taste Skill's approach is straightforward: encode specific design decisions like layout variations, typographic hierarchy, motion rules, and spacing logic into instruction files (SKILL.md) that AI can understand. Let AI load this set of rules before generating interfaces, making decisions according to the rules rather than following the most common patterns from training data. It essentially equips AI with a set of design preferences, pushing generated results from "functionally correct" toward "visually interesting." | Item | Info | | --- | --- | | GitHub Repository | https://github.com/Leonxlnx/taste-skill | | License | MIT | | Supported Tools | Claude Code, Cursor, Codex, ChatGPT |  * * * ## Installation Install all skill packs with one command. # Install all skill packs npx skills add https://github.com/Leonxlnx/taste-skill If you only need a specific skill pack, add the --skill parameter to specify. # Only install the default main skill npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend" After installation, AI tools will automatically load the corresponding SKILL.md file when generating interfaces. No need to modify project configuration or write additional prompts. * * * ## Quick Start After installation, let AI generate interfaces as usual; no need to change prompts. # Just describe requirements as usual Create a landing page for a SaaS product, with navigation, Hero section, feature introduction, and pricing table At this point AI will first read Taste Skill's rules, then generate code. Compared to output generated before installation, the degree of layout variation, typographic hierarchy, and motion handling will differ. * * * ## Skill Pack Categories and Selection Taste Skill is split into several independent skill packs, each doing one thing; select as needed, no need to install all. ### Interface Generation These skill packs directly affect AI's design decisions when generating interfaces; they are the most commonly used. | Skill Pack | Install Parameter | Style Characteristics | Applicable Scenarios | | --- | --- | --- | --- | | design-taste-frontend | `--skill "design-taste-frontend"` | Automatically infers design language, generates along three dimensions: layout variation, motion depth, information density | Most projects, default first choice | | high-end-visual-design | `--skill "high-end-visual-design"` | Restrained contrast, generous whitespace, premium typography, elastic 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, rugged layout, unconventional composition | Creative projects | The default main skill design-taste-frontend is the v2 version, most versatile. It automatically reads your requirements, infers the appropriate design language, then generates code along three dimensions. Most projects can start with this one. # Install default main skill (recommended to try this first) npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend" ### Workflow Assistance These skill packs solve problems in AI workflow, not directly controlling visual style. | Skill Pack | Problem Solved | Usage | | --- | --- | --- | | redesign-existing-projects | Transform existing project interfaces, audit first then modify, rather than blindly changing | After installation, tell AI: "Audit the current interface according to skill, find problems then modify" | | full-output-enforcement | AI stops halfway through generation, leaving `// TODO` comments | Automatically effective after installation, forces AI to output complete code | # Install skill pack for transforming existing projects npx skills add https://github.com/Leonxlnx/taste-skill --skill "redesign-existing-projects" After installation, tell AI "Audit the current interface according to skill, find problems then modify," and it will analyze first before acting, without making random changes. ### Image Generation These three skill packs are for generating design reference images, not outputting code. Use with tools like ChatGPT Images, then hand over to programming AI for implementation. | Skill Pack | Output Content | Compatible 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 The default main skill design-taste-frontend has three numeric parameters, range 1-10, which can be directly edited in the SKILL.md file. | Parameter | Controls What | Low Value (1-3) | High Value (7-10) | Adjustment Suggestions | | --- | --- | --- | --- | --- | | DESIGN_VARIANCE | Layout variation degree | Centered symmetry, regular | Asymmetry, modern feel | Increase for landing pages, keep low for form pages | | MOTION_INTENSITY | Motion depth | Hover effects only | Scroll motion, magnetic motion | Push higher for pages needing strong dynamism | | VISUAL_DENSITY | Information density | Generous whitespace, breathing room | Dense information display | Lower for content showcase, higher for data dashboards | # Edit SKILL.md to adjust parameters (find these three lines and modify values) DESIGN_VARIANCE 7 # Layout variation degree, 1-10, increase for more modern feel MOTION_INTENSITY 5 # Motion depth, 1-10, can push to 8 for landing pages VISUAL_DENSITY 3 # Information density, 1-10, keep low for content showcase pages Save after editing; AI will use the new parameters for next generation. * * * ## Things to Know Before Use ### v2 Still Iterating The default main skill is currently v2 experimental; official note is "actively iterating toward v2.0.0 stable," behavior may occasionally change. If stable, predictable results are needed, use v1. # Install v1 stable version 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 generated code has bugs, this is not something it can solve. ### Effect Depends on AI Tool's Understanding of SKILL.md Different AI tools vary in their adherence to skill files. Claude Code and Cursor usually execute quite faithfully; ChatGPT can directly paste SKILL.md into conversation for use. ### Framework-Agnostic Rules target design intent, not bound to specific frameworks; React, Vue, Svelte can all be used. | Note | Explanation | Response | | --- | --- | --- | | v2 still iterating | Behavior occasionally changes, not stable enough | Use v1 when stable results are needed | | Only affects design decisions | Does not handle functional logic and code structure issues | Code bugs need other solutions | | Tool differences | Different AI tools vary in adherence | ChatGPT can directly paste SKILL.md into conversation | | Framework-agnostic | Rules target design intent, not bound to frameworks | React / Vue / Svelte can all be used | * * * ## Quick Start Recommendations If you use Claude Code or Cursor for frontend, you can first try installing the default main skill. # Step 1: Install default main skill npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend" Then let AI generate a page you've done before, and compare with the original result to see where the differences lie. If you have needs to transform existing projects, try redesign-existing-projects, letting AI analyze first before acting -- much more controllable than directly saying "help me make it look better." > Project address: [https://github.com/Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill)