taste-skill
Agent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
Install / Use
npx skills add Leonxlnx/taste-skillInstalls into whichever agent you are using.
CLAUDE.md
Claude Code project instructions
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of taste-skill
taste-skill scores 100/100 on our quality scale, 1st of 4,617 Development & Engineering skills we index (top 1%).
Its CLAUDE.md is 17 KB long, well organised into 17 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 110,558 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so taste-skill is actively maintained.
- Our last check on 2026-10-17 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
taste-skill compared with similar skills
taste-skill has the highest quality score among these 4 similar skills.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| taste-skill (this skill)by Leonxlnx | 100 | 110.6k | today | CLAUDE.md |
| claude-memby thedotmack | 100 | 113.5k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 90.9k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install taste-skill?
- Run
npx skills add Leonxlnx/taste-skill. The install tabs above show the steps for each supported agent. - Which AI agents does taste-skill work with?
- It is written for Claude Code, Cursor and OpenAI Codex, as a CLAUDE.md file. Other agents that read the same format can often use it too.
- Is taste-skill safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is taste-skill still maintained?
- The repository was last updated today, so taste-skill is actively maintained.
Skill content
View source on GitHubPortable 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="LICENSE"><img src="assets/readme-buttons/btn-mit.webp" alt="MIT License" height="45" valign="middle" /></a> <a href="https://github.com/vercel-labs/agent-skills"><img src="assets/readme-buttons/btn-agent-skills.webp" alt="Agent Skills compatible" height="45" valign="middle" /></a> <a href="#installing"><img src="assets/readme-buttons/btn-tools.webp" alt="Codex, Cursor, Claude" height="45" valign="middle" /></a> <a href="https://www.tasteskill.dev/changelog"><img src="assets/readme-buttons/btn-changelog.webp" alt="Changelog" height="45" valign="middle" /></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="#sponsors">Sponsors</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 or @blueemi99
- Email us at hello@tasteskill.dev
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 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.)
- 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:
Open Source Supporters
<table align="center"> <tr> <td align="center" width="104"><a href="https://www.kimi.com"><img src="assets/sponsors/kimi-icon.png" alt="Kimi" width="52" height="52" /></a></td> <td><a href="https://www.kimi.com"><picture><source media="(prefers-color-scheme: dark)" srcset="https://kimi-file.moonshot.cn/prod-chat-kimi/kfs/4/1/2026-06-05/1d8h69mt3v89kkekg24gg" /><img alt="Kimi Open Source Friends" src="https://kimi-file.moonshot.cn/prod-chat-kimi/kfs/4/1/2026-06-05/1d8h69fudcmosb3pipls0" height="42" /></picTruncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
