Leonxlnx

    Leonxlnx/taste-skill

    #203 this week

    Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop

    ai-agents
    ai
    frontend
    low-code
    agent
    claude
    claude-code
    codex
    coding
    JavaScript
    MIT
    68.3K stars
    4.7K forks
    68.3K GitHub watchers
    Updated 7/28/2026
    View on GitHub

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    Use Cases & Benefits

    • Provides portable AI agent skills that enhance frontend design by improving layout, typography, motion, and spacing to avoid generic, boring UI outputs.
    • Offers adjustable design dials and multiple specialized skill variants that enforce anti-slop rules, enabling framework-agnostic, high-quality UI generation across coding agents.
    • Use for upgrading AI-generated frontend interfaces with refined design language and animation for web and mobile projects.
    • Use for image-first workflows that generate design references and then implement frontends by combining image-generation and code-generation skills.
    • Use for auditing and redesigning existing projects to improve UI hierarchy, spacing, and styling without starting from scratch.

    About taste-skill

    Taste Skill - Anti-slop Agent Skills for premium frontends

    Taste Skill

    The Anti-Slop Frontend Framework for AI Agents

    Visit tasteskill.dev

    Sponsors

    animations.devEmil Kowalski · animations.dev

    Vercel OSS Program

    Become a sponsor

    Portable Agent Skills that upgrade AI-built interfaces: stronger layout, typography, motion, and spacing instead of boilerplate-looking UIs. This repo also includes image-generation skills for reference boards (web, mobile, brand kits). Pair them with ChatGPT Images or similar generators, then hand the frames to Codex, Cursor, or Claude Code for implementation.

    MIT License   Agent Skills compatible   Codex, Cursor, Claude   Changelog

    Disclaimer

    Taste Skill has no official token, coin, or crypto project. Any token using my name, image, or project is unaffiliated and not endorsed by me.

    Disclaimer · Install · Skills · Settings · Examples · Sponsors · Research · FAQ · License

    Feedback & Contributions

    We would love your feedback. Suggestions and bug reports:

    Installing

    The npx skills add CLI scans the skills/ folder in this repo, so all skills below (code and image-generation) install the same way.

    npx skills add https://github.com/Leonxlnx/taste-skill
    

    Install a single skill by its install name (the name: field inside the SKILL frontmatter, not the folder name):

    npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"
    

    You can also copy any SKILL.md into your project or paste it into ChatGPT / Codex conversations.

    Updating from the previous version

    The default taste-skill (install name design-taste-frontend) is now v2 (experimental), a substantial rewrite of the original v1. If you already have v1 installed, just re-run the install command and you will be upgraded:

    npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"
    

    The install name did not change, so no script updates are needed. The newer SKILL.md replaces the older one in place.

    If you depend on the exact behavior of v1 and want to pin to it explicitly:

    npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend-v1"
    

    See CHANGELOG.md for the full v1 to v2 diff and the rationale.

    Skills

    Each skill does one job; you do not need all of them at once. Implementation skills output code. Image-generation skills output reference images only.

    The Install name column is the exact value you pass to --skill.

    Skill (folder)Install nameDescription
    taste-skilldesign-taste-frontend🆕 v2 (experimental) - substantial rewrite of the default skill. Reads the brief, infers the design language, tunes three dials (VARIANCE / MOTION / DENSITY). Brief inference, design-system map, hard em-dash ban, canonical GSAP code skeletons, redesign-audit protocol, strict pre-flight check. Actively iterating toward v2.0.0 stable.
    taste-skill-v1design-taste-frontend-v1The original v1 of taste-skill, preserved for projects depending on its exact behavior. Use only if the v2 default breaks something specific in your workflow.
    gpt-tasteskillgpt-tasteStricter variant for GPT/Codex: higher layout variance, stronger GSAP direction, aggressive anti-slop.
    image-to-code-skillimage-to-codeImage-first pipeline: generate site references, analyze them, then implement the frontend to match.
    redesign-skillredesign-existing-projectsExisting projects: audit the UI first, then fix layout, spacing, hierarchy, styling.
    soft-skillhigh-end-visual-designPolished, calm, expensive UI with softer contrast, whitespace, premium fonts, spring motion.
    output-skillfull-output-enforcementWhen the model ships half-finished work: full output, no placeholder comments.
    minimalist-skillminimalist-uiEditorial product UI (Notion/Linear vibes), restrained palette, crisp structure.
    brutalist-skillindustrial-brutalist-uiHard mechanical language: Swiss type, sharp contrast, experimental layout.
    stitch-skillstitch-design-tasteGoogle Stitch-compatible rules, including optional DESIGN.md export format.

    Image generation skills

    These produce design images only (no code). Use with ChatGPT Images, Codex image mode, or any agent that generates images.

    Skill (folder)Install nameDescription
    imagegen-frontend-webimagegen-frontend-webWebsite comps: hero, landing, multi-section with strong typography, spacing, anti-slop art direction.
    imagegen-frontend-mobileimagegen-frontend-mobileMobile screens and flows: iOS/Android/cross-platform, mockups, readable type, coherent sets.
    brandkitbrandkitBrand-kit boards: logo directions, palettes, type, identity applications across categories.

    Which one should I use?

    • Start with taste-skill for the safest general default. (Now v2 experimental - see what changed in the CHANGELOG.)
    • If you depend on the exact behavior of the original taste-skill, install taste-skill-v1 instead.
    • Use gpt-taste when you want the stricter GPT/Codex-oriented rules and motion/layout enforcement.
    • Use image-to-code-skill for image → analyze → code website workflows.
    • Use redesign-skill to improve an existing codebase instead of greenfield styling.
    • Add soft-skill, minimalist-skill, or brutalist-skill when the visual direction is already chosen.
    • Add output-skill if the agent keeps truncating output.
    • Use imagegen-frontend-web, imagegen-frontend-mobile, or brandkit when the deliverable is images (comps, flows, identity boards), then pass results to your coding agent.

    Image-first tip

    For image-to-code-skill, state the pipeline in the prompt, e.g.: follow the skill: generate images, then analyze, then code.

    ChatGPT Images and Codex

    Attach or paste imagegen-frontend-web, imagegen-frontend-mobile, or brandkit and ask for the frames you need, then feed the renders to Codex, Cursor, or Claude Code. Use image-to-code-skill when you want one workflow that both generates references and implements the site in code.

    Settings (taste-skill only)

    Numbers at the top of the file are 1-10 dials:

    • DESIGN_VARIANCE: Layout experimentation (lower: centered/clean · higher: asymmetric/modern).
    • MOTION_INTENSITY: Animation depth (lower: hover · higher: scroll/magnetic).
    • VISUAL_DENSITY: Information per viewport (lower: spacious · higher: dense dashboards).

    Examples

    Created with taste-skill:

    Support the project

    If Taste Skill helps you, consider sponsoring:

    Sponsor on GitHub

    Current Sponsors

    Emil Kowalski dnakov AkramReshad ajmalaksar25 krikkkk navanchauhan robinebers JKc66 u2393696078-rgb a-human-created-this AtharvaJaiswal005 ghughes7 mccun934 techmedic5 bytewerk-dev

    Star History Rank

    Research

    Background writing that shaped these skills lives in research/.

    Star History

    Star History Chart

    Common Questions

    How is this different from other AI design skills?
    Multiple specialized variants, adjustable dials in key skills, anti-repetition rules informed by dedicated research. All are framework agnostic across major coding agents.

    Does it work with React, Vue, Svelte?
    Yes. Rules target design intent, not a single framework API.

    What is SKILL.md?
    A portable instruction file agents can load automatically; install via npx skills add or by copying into a repo or conversation.

    Do image-generation skills install with npx skills add?
    Yes. They live under skills/ alongside the code skills so the same CLI discovers them.

    License

    MIT License · Copyright (c) 2026 Leonxlnx

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