taste-skill

agent
Security Audit
Pass
Health Pass
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 14179 GitHub stars
Code Pass
  • Code scan — Scanned 2 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This agent provides portable "skills" designed to upgrade AI-built user interfaces. It helps developers avoid generic, boilerplate-looking UIs by improving layout, typography, motion, and spacing, and includes prompt frameworks for generating reference images.

Security Assessment
The overall risk is Low. The repository consists of only two files (primarily markdown and skill definitions) and the automated code scan found no dangerous patterns. It does not request dangerous system permissions and there are no hardcoded secrets. Because the tool relies on the standard `npx skills add` command for installation, it inherently executes a shell command and makes a network request to fetch repository files. However, the tool itself does not access sensitive local data, run persistent background processes, or require excessive system privileges.

Quality Assessment
The project is of high quality and actively maintained, with its last code push occurring today. It has strong community trust, boasting over 14,000 GitHub stars. Furthermore, it is fully open-source and distributed under the permissive and standard MIT license. The developer also includes clear documentation and a transparent disclaimer disassociating the project from unaffiliated crypto tokens.

Verdict
Safe to use.
SUMMARY

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

README.md

Taste Skill — Anti-slop Agent Skills for premium frontends

Taste Skill

The Anti-Slop Frontend Framework for AI Agents

Taste Skill

Open tasteskill.dev

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.

GitHub stars MIT License Supported agents Changelog on tasteskill.dev

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 · Sponsor · 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 name (example):

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

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

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.

Skill Description
taste-skill Default all-rounder for premium frontend output without locking one narrow visual style.
gpt-taste Stricter variant for GPT/Codex: higher layout variance, stronger GSAP direction, aggressive anti-slop.
image-to-code-skill Image-first pipeline: generate site references, analyze them, then implement the frontend to match.
redesign-skill Existing projects: audit the UI first, then fix layout, spacing, hierarchy, styling.
soft-skill Polished, calm, expensive UI with softer contrast, whitespace, premium fonts, spring motion.
output-skill When the model ships half-finished work: full output, no placeholder comments.
minimalist-skill Editorial product UI (Notion/Linear vibes), restrained palette, crisp structure.
brutalist-skill ⚠️ BETA Hard mechanical language: Swiss type, sharp contrast, experimental layout.
stitch-skill 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 Description
imagegen-frontend-web Website comps: hero, landing, multi-section with strong typography, spacing, anti-slop art direction.
imagegen-frontend-mobile Mobile screens and flows: iOS/Android/cross-platform, mockups, readable type, coherent sets.
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.
  • 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

robinebers
JKc66
u2393696078-rgb
a-human-created-this
AtharvaJaiswal005
ghughes7
mccun934
navanchauhan

Star History Rank

Research

Background writing that shaped these skills lives in research/.

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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