Taste Skill
github.com/leonxlnx/taste-skill- Category
- Developer Tools
- Rank
- No. 21Tools index
- Pricing
- Open Source
- Platform
- cli
- Type
- TOOL
- Builder
- @Leonxlnx
- GitHub
- 85.6k stars
- Date
About
A collection of AI prompting skills that teach AI tools to generate premium, modern frontend code instead of boring, generic interfaces. Improves AI output quality for web design with proper animations, spacing, and visual appeal.
What it does
Taste Skill is a menu of portable agent instructions for designing or redesigning interfaces. Its default mode infers a visual direction from the brief, then tunes layout variation, motion intensity, and information density. Separate options cover image-first work, specific aesthetics, redesigns, and complete-output enforcement.
Why it's ranked here
The project turns subjective design advice into explicit constraints, workflow stages, and implementation patterns. That makes it more actionable than a loose style prompt. The breadth is useful, but the default is experimental and actively changing, so teams needing stable behavior should pin the preserved original variant.
What's good
The three adjustable design dials give teams a shared vocabulary for controlling outcomes. The default also includes brief inference, design-system mapping, dark-mode guidance, redesign auditing, reduced-motion requirements, and a final checklist. Dedicated skills separate code generation from reference-image creation, while aesthetic variants keep visual direction intentional.
Tradeoffs
The recommended default is a pre-release whose rules may change before stabilization. Its strict bans and prescribed animation choices can conflict with an existing design system or product voice. The documented scope excludes dashboards, data tables, multi-step forms, code editors, native mobile, and realtime collaboration interfaces. Image-generation skills produce references, not implementation code.
How to use it well
Use it with Codex, Cursor, Claude Code, or a conversational image generator when building landing pages, portfolios, or visual redesigns. Start with the general skill, choose an aesthetic variant only when direction is settled, and use the image-first workflow when references matter. Bring separate product-design guidance for complex application interfaces and data-heavy workflows.
Technical notes+
README.md documents installation through npx skills add, single-skill selection, manual copying, supported agent workflows, and the experimental default. skill.sh provides a Bash associative registry for 13 skill aliases. CHANGELOG.md records the default rewrite, preserved original variant, scope exclusions, Motion and GSAP guidance, reduced-motion rules, and stability policy. skills/llms.txt supplies compact discovery descriptions. .claude-plugin/plugin.json and .claude-plugin/marketplace.json expose Claude plugin metadata. The auxiliary JavaScript files under scripts/ use Sharp for README and sponsor image processing.
Observed
- License
- MIT License
- Primary format
- Markdown-based agent instruction skills, with auxiliary JavaScript and Bash tooling
- Install surface
- Install the repository or one named skill through the npx skills add CLI; manual copying is also documented
- Interfaces
- Prompt skills and Claude plugin metadata; no repository API or runtime library is described
- Agent support
- README names Codex, Cursor, Claude Code, ChatGPT Images, and similar image generators
- Skill structure
- The local Bash registry enumerates 13 skill entries
- Image tooling
- Auxiliary ECMAScript modules use Sharp to process README and sponsor assets
Read from README.md, scripts/process-sponsor-badge.mjs, scripts/build-emil-sponsor-row.mjs, scripts/process-readme-buttons.mjs, scripts/convert-readme-assets-webp.mjs, LICENSE, skill.sh, CHANGELOG.md, skills/llms.txt, research/README.md, .github/FUNDING.yml, .claude-plugin/plugin.json, .claude-plugin/marketplace.json, .github/copilot-instructions.md.
What it can do
Generate premium frontend code with modern design
AI prompting requests for web interfaces → High-quality frontend code with modern styling
Redesign existing web interfaces
Generic or basic frontend code → Redesigned code with improved visual appeal
Add proper animations to web elements
Static frontend code → Code with smooth animations and transitions
Improve spacing and layout of web components
Poorly spaced web interface code → Code with proper spacing and visual hierarchy
Transform boring interfaces into visually appealing ones
Generic web interface designs → Modern, premium-looking interface code
Enhance AI coding tool output quality
Standard AI-generated frontend code → Improved frontend code with better design principles
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