Taste Skill

What is Taste Skill?

Taste Skill is an open-source agent skill library that upgrades the quality of AI-built interfaces. Taste Skill constrains AI output through structured design rules, replacing boilerplate UIs in layout, typography, animation, and spacing. It also provides image generation skills for design reference boards. Taste Skill supports one-click installation and is compatible with mainstream AI coding tools such as Cursor , Claude Code , Codex , Gemini CLI , v0 , and Lovable .

Taste Skill’s main functions

• Multi-style design skill library : Provides various visual style skills such as taste skill, gpt-taste, soft-skill, minimalist-skill, and brutalist-skill to suit the tone of different projects.
• Image generation skills : imagegen-frontend-web (web design drafts), imagegen-frontend-mobile (mobile interfaces), brandkit (brand identity panels), which can be used with ChatGPT Images or Codex image modes to generate reference images.
• Image-to-code-skill workflow : It supports generating design reference images first, conducting in-depth analysis, and then accurately implementing the front-end code.
• Redesign-skill provides audit-priority UI diagnostics and modernization solutions for existing projects .
• Output integrity guarantee : output-skill prevents AI from outputting unfinished products, placeholders, or truncated content.
• Three adjustable parameters : DESIGN_VARIANCE, MOTION_INTENSITY, and VISUAL_DENSITY, providing fine control over the output style.

How to use Taste Skill

• Installation : Run the installation command in the terminal npx skills add https://github.com/Leonxlnx/taste-skillto deploy the skill library with one click.
• Select a skill : Choose a skill based on the project type, such as design-taste-frontendfor general projects, image-to-codefor generating code from images, or high-end-visual-designfor high-end projects.
• Use AI to generate : Describe your interface requirements in AI tools such as Cursor, Claude Code, or Codex, and the AI ​​will automatically generate high-quality code according to skill rules.
• Adjusting the style : To adjust the style, simply modify the three parameters at the top of SKILL.md: DESIGN_VARIANCE, MOTION_INTENSITY, and VISUAL_DENSITY.

Taste Skill’s core advantages

• Anti-Slop Positioning : Directly addresses the pain point of cheap templates in current AI-generated interfaces, combating mediocre output from the rule level.
• One-time installation, full tool compatibility : The same set of skill files can be seamlessly reused across tools such as Cursor, Claude Code, Codex, Gemini CLI, v0, Lovable, and OpenCode.
• Refined style control : Achieve precise coverage from minimalist editing style to hardcore and rugged style through three parameter levels and multiple style skills.
• Image-code closed loop : A unique workflow for generating reference images → analysis → coding, bridging the semantic gap between design and implementation.

Taste Skill’s project address

• Project website : https://www.tasteskill.dev/
• GitHub repository : https://github.com/Leonxlnx/taste-skill