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Open Source Project of the Day (#89): taste-skill - Give Your AI Agent Good Design Taste

#ai #opensource #claude #skills

Introduction

"Why does AI-generated frontend always look the same?"

This is article #89 in the Open Source Project of the Day series. Today's project is taste-skill — a design taste skill pack that gives AI agents an aesthetic sense.

Getting AI to write frontend code is now routine. The results, however, tend to be interchangeable: center-aligned layouts, blue primary colors, card-based grids, rounded corners with shadows — technically correct, visually forgettable. The problem isn't that the AI can't write code. It's that nothing constrains how that code should look and feel.

taste-skill's approach is straightforward: give the AI a set of research-backed design rules and tell it what taste means and what slop looks like. Not templates to copy, but principled constraints — so the AI infers the right design language for your specific project rather than defaulting to the most common patterns in its training data.

What You'll Learn

  • Why AI-generated UI falls into the "slop trap" and how taste-skill breaks that cycle
  • The SKILL.md mechanism: how one file changes every design decision an AI makes
  • All 13 skills: minimalist, brutalist, soft, image-to-code, brandkit, and more
  • Three tunable dials: DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY
  • How to integrate with Claude Code, Cursor, Codex, and other AI coding tools

Prerequisites

  • Basic frontend experience (HTML/CSS/JS)
  • Experience using Claude Code, Cursor, or a similar AI coding tool
  • Basic aesthetic sensibility (no design background required)

Project Background

What Is taste-skill?

taste-skill's mission in one sentence: give your AI good taste, and stop it from generating boring, generic design slop.

Under the hood it's a collection of "design constraint rule sets" packaged as SKILL.md files. When an AI agent finds this file in your project, it reads the rules before generating any UI code — infers what design language fits the current project — then constrains its output accordingly, instead of defaulting to the most overrepresented patterns in its training data.

It doesn't pick colors for you. It teaches the AI what it means to pick colors with taste.

Author / Team

Project Stats

  • ⭐ GitHub Stars: 36,800+
  • 🍴 Forks: 2,700+
  • 📦 Skills: 13 (growing)
  • 📄 License: MIT
  • 💬 Language: Shell 100% (install scripts + SKILL.md rule files)

Core Features

What It Does

taste-skill is a design philosophy plugin for AI agents — injected before the AI generates any frontend code, it replaces "generic default" thinking with a set of deliberate design decisions.

What it doesn't do:

  • Doesn't provide a UI component library
  • Doesn't replace Figma or design mockups
  • Doesn't touch your business logic

What it does:

  • Tells the AI how to infer a project's design language (industry / audience / emotional tone)
  • Constrains layout, spacing, typography, animation, and contrast decisions
  • Prevents the AI from outputting the "statistically average" design that everyone's already seen

Use Cases

  1. Building a new project from scratch with Claude Code or Cursor

    • With taste-skill installed, the AI knows the project's design character before it writes the first line of CSS

  2. Redesigning an existing project's visual style

    • redesign-skill audits the current UI, identifies inconsistencies, and produces a complete redesign proposal

  3. Design mockup → code implementation

    • image-to-code-skill supports an image-first workflow: upload a screenshot or reference design → AI analyzes style → generates matching code

  4. Building a brand visual system

    • brandkit generates logo concepts, color palettes, font pairings, and brand guidelines in one pass

  5. Implementing a specific visual style quickly

    • Want a Notion-style minimal interface? Use minimalist-skill. Need Swiss-grid brutalism? Use brutalist-skill.

Quick Start 

# Install the main skill (recommended for new projects)
npx skills add https://github.com/Leonxlnx/taste-skill

# Install a specific skill
npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"

# Install the minimalist style skill
npx skills add https://github.com/Leonxlnx/taste-skill --skill "minimalist-ui"
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After installation, a SKILL.md file appears at .claude/skills/design-taste-frontend/SKILL.md (or similar path). Develop normally in Claude Code or Cursor — the AI automatically reads the file and follows its design rules.

Complete Skill Roster

Code implementation skills (10)

Skill Install ID Purpose
taste-skill v2 design-taste-frontend Primary skill — infers design language, exposes three dials
taste-skill v1 design-taste-frontend-v1 Preserved v1 for predictable, stable behavior
gpt-tasteskill gpt-taste GPT/Codex strict variant with reinforced GSAP animations
image-to-code image-to-code Image → analysis → code three-step pipeline
redesign-skill redesign-existing-projects Audit and redesign existing project UI
soft-skill high-end-visual-design High-end elegant UI with soft contrast
output-skill full-output-enforcement Prevents AI output truncation
minimalist-skill minimalist-ui Notion / Linear style minimal design
brutalist-skill industrial-brutalist-ui Swiss typography + strong contrast brutalism
stitch-skill stitch-design-taste Google Stitch compatible design rules

Image generation skills (3)

Skill Install ID Purpose
imagegen-frontend-web imagegen-frontend-web Generate website design references
imagegen-frontend-mobile imagegen-frontend-mobile Generate mobile UI flow diagrams
brandkit brandkit Logo + color palette + typography brand kit

Three Tunable Dials (v2 Core)

taste-skill v2 exposes three explicit parameters that directly shape the AI's design choices:

DESIGN_VARIANCE   (1–10)
    Low  → centered, symmetric, tidy and conventional
    High → asymmetric, modern, breaks the grid intentionally

MOTION_INTENSITY  (1–10)
    Low  → hover effects and micro-interactions only
    High → scroll-triggered animations, magnetic snap, parallax

VISUAL_DENSITY    (1–10)
    Low  → abundant whitespace, strong breathing room
    High → dashboard-level density, rich information hierarchy
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Example settings for a SaaS marketing landing page:

DESIGN_VARIANCE = 6   # Distinctive but not disorienting
MOTION_INTENSITY = 5  # Engaging but not distracting
VISUAL_DENSITY = 3    # Whitespace-led, key message foregrounded
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Comparison

Dimension taste-skill Raw AI (no constraints) UI component library Design mockup
Visual distinctiveness ✅ Rule-constrained intentionality ❌ Generic defaults ⚠️ Depends on customization ✅ Full control
Setup cost ✅ One command ✅ Zero ⚠️ Learning curve ❌ Requires designer
AI-native collaboration ✅ Designed for AI agents ⚠️ No guardrails ⚠️ Needs bridging ⚠️ Requires description-to-intent translation
Iteration speed ✅ Fast ✅ Fast Medium ❌ Slow

Deep Dive

The SKILL.md Mechanism: How One File Changes Everything

taste-skill's core technology isn't a JavaScript framework — it's a convention: the SKILL.md file.

When Claude Code or Cursor finds a SKILL.md in your project, it automatically injects the file's contents into context before executing any design-related task. This isn't runtime code — it's "instructions for the AI" — analogous to a design specification document, but written and structured specifically to be read and followed by an AI.

Key sections of taste-skill v2's SKILL.md:

§0 Project Inference

Before touching anything, read the environment:

Infer project context:
- Industry vertical (finance? creative? tech? health?)
- Target audience (developers? consumers? enterprise?)
- Emotional tone (trustworthy? playful? urgent? elegant?)
- Layout type (landing page? app? dashboard?)

Apply inferences to all subsequent design decisions.
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§2 Design System Selection

Match the design system to the project type:

- Enterprise/SaaS → shadcn/ui or Material derivative
- Developer tools → Tailwind system + monochrome palette
- Creative/brand → custom typography-led system
- Consumer → emotion-driven, hero imagery first
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§8 Dual Theme by Default

All interfaces must support both dark and light themes:
- Dark ≠ black (deep slate, dark blue-grey are valid)
- Light ≠ white (warm white, cool grey are valid)
- Contrast hierarchy must be consistent across both themes
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§14 Pre-Submit Checklist

Before committing code, verify:
□ Colors are intentional — each color has a defined purpose
□ Spacing follows 4pt/8pt grid
□ Typography hierarchy uses maximum 3 sizes
□ Animations are ≤ 300ms (unless explicitly justified)
□ Mobile-first, tested at 320px breakpoint
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Style Skill Profiles: Which One to Pick?

Minimalist (minimalist-ui)

Inspired by: Notion, Linear, Vercel

  • Abundant whitespace — content is the design
  • Monochrome or two-tone palette, no "rainbow UI"
  • Typography drives hierarchy, not color or shape
  • Best for: developer tools, content platforms, productivity apps

Brutalist (industrial-brutalist-ui)

Inspired by: Swiss International Typographic Style, the Figma website, early web

  • Heavy borders, stark contrast, deliberately "ugly"
  • Monospace + grotesque font mixing
  • Black / white / one accent color maximum
  • Best for: creative agencies, personal brands, art projects

Soft High-End (high-end-visual-design)

Inspired by: luxury brands, high-end SaaS (Linear's original aesthetic)

  • Low contrast, smooth gradients
  • Refined type choices (serif headline + light sans-serif body)
  • Precise micro-animations
  • Best for: premium consumer products, design studios, creative services

image-to-code: The Image-First Workflow

One of taste-skill's most distinctive capabilities:

1. Screenshot / upload a reference design
          ↓
2. AI analyzes the image's visual language
   - Extracts: color palette, type style, spacing patterns, layout logic
          ↓
3. Generates frontend code that matches the reference
   - Not pixel-copying, but reproducing the design language
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npx skills add https://github.com/Leonxlnx/taste-skill --skill "image-to-code"
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Using it in Claude Code:

/task Based on this screenshot, implement a product card component
      in React + Tailwind with the same visual style.
[attach screenshot]
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Supported AI Tool Ecosystem

taste-skill isn't tied to any specific tool — it works with every major AI coding environment:

Tool Integration
Claude Code Auto-reads SKILL.md
Cursor Auto-reads SKILL.md
Codex CLI Auto-reads SKILL.md
Gemini CLI Auto-reads SKILL.md
v0 / Lovable Paste rule content manually
OpenCode Auto-reads SKILL.md
ChatGPT Images Image generation skills adapted

Links and Resources

Official Resources

Conclusion

taste-skill addresses a specific and real problem: AI writes UI that's technically correct but visually forgettable. Its solution is equally specific — don't change the tool, change the constraints the tool operates under. The SKILL.md mechanism is itself an elegant design: one file, zero runtime overhead, framework-agnostic, tool-agnostic.

36.8k stars signals that this problem is genuine and that developers are voting with their actions — they're not satisfied with "working UI," they want UI with a point of view.

If you're using AI tools for frontend work, taste-skill takes five minutes to install. The gap between before and after is the only demonstration it needs.

Welcome to learn about PrimeSkills —— A curated marketplace for AI Agents and skills to help you build powerful AI workflows.

I am Dongqi, exploring the infinite possibilities of AI Agents. Follow my homepage: WonderLab

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