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

Subagents45.3k estrellas3.2k forksShellMITActualizado 4d ago
Nota editorial

Taste Skill is a collection of portable agent skills delivered as `SKILL.md` files that instruct AI coding agents to produce higher-quality frontend interfaces with intentional layout, typography, spacing, motion, and hierarchy rather than generic boilerplate output. Skills are installed via the `npx skills add` CLI pointing at the repository, and individual skills can be targeted by name, such as `design-taste-frontend` for the default v2 skill or `industrial-brutalist-ui` for the Swiss-type brutalist variant. The collection integrates directly with Claude Code, Codex, and Cursor, and individual skill files can also be pasted into ChatGPT conversations. A standout detail in v2 is a three-dial tuning system for VARIANCE, MOTION, and DENSITY, along with canonical GSAP code skeletons and a redesign-audit protocol. Separate image-generation skills produce reference boards for web, mobile, and brand kits using tools like ChatGPT Images before handing frames to an implementation agent. Frontend developers, vibe-coders, and no-code builders working with AI agents are the primary audience.

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Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
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  • Documented (README)
Last scanned: 6/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/Leonxlnx/taste-skill && cp taste-skill/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.

13 items en este repositorio

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.

Instalar

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.

Instalar

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.

Instalar

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.

Instalar

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.

Instalar

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.

Instalar

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

Instalar

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.

Instalar

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.

Instalar

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.

Instalar

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.

Instalar

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.

Instalar

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

Instalar
Casos de uso

Resumen de Subagents

<p align="center">
  <img src="assets/readme-banner.png" alt="Taste Skill - Anti-slop Agent Skills for premium frontends" width="100%" />
</p>

# Taste Skill

<p align="center">
  <em>The Anti-Slop Frontend Framework for AI Agents</em>
</p>

<p align="center">
  <a href="https://tasteskill.dev" title="Taste Skill - tasteskill.dev">
    <img src="assets/taste-skill-logo.webp" width="80" height="80" alt="Taste Skill" />
  </a>
</p>

<p align="center">
  <a href="https://tasteskill.dev">
    <img src="https://img.shields.io/badge/OPEN-tasteskill.dev-%23a855f7?style=for-the-badge&labelColor=%230f172a" alt="Open tasteskill.dev" />
  </a>
</p>

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.

<p align="center">
<a href="https://github.com/Leonxlnx/taste-skill/stargazers"><img src="https://img.shields.io/github/stars/Leonxlnx/taste-skill?style=for-the-badge&logo=github&labelColor=1e293b&color=fbbf24" alt="GitHub stars"/></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-fbbf24?style=for-the-badge&labelColor=1e293b" alt="MIT License"/></a>
<a href="#installing"><img src="https://img.shields.io/badge/Tools-Codex%20%C2%B7%20Cursor%20%C2%B7%20Claude-111827?style=for-the-badge&labelColor=1e293b" alt="Supported agents"/></a>
<a href="https://www.tasteskill.dev/changelog"><img src="https://img.shields.io/badge/Changelog-Latest-059669?style=for-the-badge&labelColor=1e293b" alt="Changelog on tasteskill.dev"/></a>
</p>

## 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.

<p align="center"><sub><a href="#disclaimer">Disclaimer</a> · <a href="#installing">Install</a> · <a href="#skills">Skills</a> · <a href="#settings-taste-skill-only">Settings</a> · <a href="#examples">Examples</a> · <a href="#support-the-project">Sponsor</a> · <a href="#research">Research</a> · <a href="#common-questions">FAQ</a> · <a href="#license">License</a></sub></p>

## Feedback & Contributions

We would love your feedback. Suggestions and bug reports:

- Open a Pull Request or Issue on GitHub  
- DM [@lexnlin](https://x.com/lexnlin) or [@blueemi99](https://x.com/blueemi99)  
- Email us at [hello@tasteskill.dev](mailto:hello@tasteskill.dev)

## Installing

The [`npx skills add`](https://github.com/vercel-labs/agent-skills) CLI scans the `skills/` folder in this repo, so **all skills below (code and image-generation) install the same way.**

```bash
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):

```bash
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:

```bash
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:

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

See [CHANGELOG.md](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 name | Description |
| --- | --- | --- |
| **taste-skill** | `design-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-v1** | `design-taste-frontend-v1` | The 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-tasteskill** | `gpt-taste` | Stricter variant for GPT/Codex: higher layout variance, stronger GSAP direction, aggressive anti-slop. |
| **image-to-code-skill** | `image-to-code` | Image-first pipeline: generate site references, analyze them, then implement the frontend to match. |
| **redesign-skill** | `redesign-existing-projects` | Existing projects: audit the UI first, then fix layout, spacing, hierarchy, styling. |
| **soft-skill** | `high-end-visual-design` | Polished, calm, expensive UI with softer contrast, whitespace, premium fonts, spring motion. |
| **output-skill** | `full-output-enforcement` | When the model ships half-finished work: full output, no placeholder comments. |
| **minimalist-skill** | `minimalist-ui` | Editorial product UI (Notion/Linear vibes), restrained palette, crisp structure. |
| **brutalist-skill** | `industrial-brutalist-ui` | Hard mechanical language: Swiss type, sharp contrast, experimental layout. |
| **stitch-skill** | `stitch-design-taste` | Google 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 name | Description |
| --- | --- | --- |
| **imagegen-frontend-web** | `imagegen-frontend-web` | Website comps: hero, landing, multi-section with strong typography, spacing, anti-slop art direction. |
| **imagegen-frontend-mobile** | `imagegen-frontend-mobile` | Mobile screens and flows: iOS/Android/cross-platform, mockups, readable type, coherent sets. |
| **brandkit** | `brandkit` | Brand-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](CHANGELOG.md).)
- 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:

<p>
  <img src="examples/floria-top.webp" width="400" />
  <img src="examples/floria-bottom.webp" width="400" />
</p>

## Support the project

If Taste Skill helps you, consider sponsoring:

[Sponsor on GitHub](https://github.com/sponsors/Leonxlnx)

### Current Sponsors

<a href="https://github.com/dnakov"><img src="https://github.com/dnakov.png" width="40" height="40" style="border-radius:50%" alt="dnakov" title="dnakov" /></a>
<a href="https://github.com/AkramReshad"><img src="https://github.com/AkramReshad.png" width="40" height="40" style="border-radius:50%" alt="AkramReshad" title="AkramReshad" /></a>
<a href="https://github.com/ajmalaksar25"><img src="https://github.com/ajmalaksar25.png" width="40" height="40" style="border-radius:50%" alt="ajmalaksar25" title="ajmalaksar25" /></a>
<a href="https://github.com/krikkkk"><img src="https://github.com/krikkkk.png" width="40" height="40" style="border-radius:50%" alt="krikkkk" title="krikkkk" /></a>
<a href="https://github.com/navanchauhan"><img src="https://github.com/navanchauhan.png" width="40" height="40" style="border-radius:50%" alt="navanchauhan" title="navanchauhan" /></a>
<a href="https://github.com/robinebers"><img src="https://github.com/robinebers.png" width="40" height="40" style="border-radius:50%" alt="robinebers" title="robinebers" /></a>
<a href="https://github.com/JKc66"><img src="https://github.com/JKc66.png" width="40" height="40" style="border-radius:50%" alt="JKc66" title="JKc66" /></a>
<a href="https://github.com/u2393696078-rgb"><img src="https://github.com/u2393696078-rgb.png" width="40" height="40" style="border-radius:50%" alt
agentaiclaudeclaude-codecodexcodingdesignfrontendlowcodenocodeskillskillsvibecoding

Lo que la gente pregunta sobre taste-skill

¿Qué es Leonxlnx/taste-skill?

+

Leonxlnx/taste-skill es subagents para el ecosistema de Claude AI. Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop Tiene 45.3k estrellas en GitHub y se actualizó por última vez 4d ago.

¿Cómo se instala taste-skill?

+

Puedes instalar taste-skill clonando el repositorio (https://github.com/Leonxlnx/taste-skill) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

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+

Nuestro agente de seguridad ha analizado Leonxlnx/taste-skill y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene Leonxlnx/taste-skill?

+

Leonxlnx/taste-skill es mantenido por Leonxlnx. La última actividad registrada en GitHub es de 4d ago, con 27 issues abiertos.

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