What does this skill do, and when should you use it?
The minimalist-ui skill from the Taste Skill repository guides AI agents to produce refined, ultra-minimalist 'document-style' web interfaces. It enforces a warm monochrome palette, high-contrast typography, bento-grid layouts, and muted pastel accents, while explicitly banning gradients, heavy shadows, and generic design defaults. The skill is framework-agnostic and works with tools like Claude Code, Codex, or any agent that reads SKILL.md. It installs via the npx skills add CLI or by manually copying the SKILL.md file.
When invoked, the skill outputs code that adheres to a strict design protocol: it bans common fonts (Inter, Roboto), icon libraries (Lucide, Feather), and Tailwind heavy shadows; defines a warm monochrome color palette (white, bone, off-white, light gray borders, and specific pale pastels); prescribes typographic hierarchy (serif for hero headings, geometric sans for body, monospace for code), and enforces component specs like 1px borders, 8-12px border radius, no-shadow buttons, and bento grids. It also includes micro-animation guidelines (fade-in on scroll, hover shifts) using only transform and opacity for performance.
- Frontend developers using Claude Code or Codex to generate Notion/Linear-style UIs
- Startup founders building landing pages without a designer, avoiding generic AI templates
- Designers who want AI-generated code to match an editorial minimalist aesthetic
- Teams integrating a consistent design language across projects with AI assistance
How do you install this skill?
- This skill is static instructions without execution verification; actual results depend heavily on agent compliance and may not meet expectations.
- Dependence on external resources (fonts, icons, placeholder image services) may be inaccessible from mainland China, affecting implementation.
- Non-fit scenarios or limitations are not declared, so the skill may be triggered incorrectly.
- Publisher is unverified; maintenance and update responsibility is unclear.
- Network access
- Local filesystem
Install the entire collection with: npx skills add https://github.com/Leonxlnx/taste-skill. To install only this skill, run: npx skills add https://github.com/Leonxlnx/taste-skill --skill "minimalist-ui". Alternatively, copy the skills/minimalist-skill/SKILL.md file into your project or conversation.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/Leonxlnx/taste-skill.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/skills/minimalist-skill" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Follow the minimalist-ui skill to design a modern landing page.
After installation, reference the skill in your prompt, e.g., 'Follow the minimalist-ui skill to design a modern landing page.' Ensure your AI tool supports loading SKILL.md files (e.g., Claude Code, Codex). The skill will output code that follows its design protocol.
What are this skill's strengths and limitations?
- Very specific rules effectively prevent generic designs
- Includes detailed design specifications that are directly actionable
- Covers typography, color, components, and animation comprehensively
- Framework-agnostic (works with React, Vue, etc.)
- Focused on minimalism; unsuitable for ornate or complex designs
- No automated testing or validation provided
- Only documented via README; sku lacks separate docs
- Bans common fonts and icon libraries, which may limit creativity
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Minimalist Editorial UI Skill this page | 47 · Use with care | ★ 94k | 4d ago | MIT |
| Impeccable | 58 · Recommended | ★ 79k | 2d ago | Apache-2.0 |
| GPT Taste Skill (gpt-taste) | 48 · Use with care | ★ 94k | 4d ago | MIT |
| Industrial Brutalist UI Skill | 48 · Use with care | ★ 94k | 4d ago | MIT |
| TypeUI Design Fundamentals | 70 · Strongly recommended | ★ 2k | 3mo ago | NOASSERTION |
How did FollowSkills review this skill?
The skill contains only instructions, not executable code; there is no sensitive data collection or malicious behavior, so safety risk is low. However, there is no explicit user confirmation, least privilege or rollback mechanisms, and data flow is not transparent. MIT license is present but publisher identity is unverified, so attribution is incomplete. Deductions for lack of confirmation, least privilege, and rollback.
The skill primarily contains design rules and negative constraints, internally consistent. Dependencies such as fonts (SF Pro, Geist Sans), icons (Phosphor, Radix) and image services (picsum.photos) are external, with no fallback or failure feedback. There are no tests or example code to verify. Static review could not reproduce key paths, and error handling guidance is lacking, so score is low.
The skill clearly defines its target (editorial UI), scenarios (frontend development), negative constraints and specific parameters (fonts, colors, spacing). Trigger conditions (when asked to generate frontend code) are fairly precise. However, non-fit boundaries are not explicit, some external dependencies may affect accessibility from mainland China, Chinese language support is unclear, and evidence for environment fit is limited.
SKILL.md provides a structured protocol with negative constraints, component specs and execution steps, clearly written. Repository has README and MIT license, installation and update instructions are complete, but versioning is unclear, no changelog specific to this skill, maintenance responsibility is mentioned via contact but not explicit for this skill. Known limitations and FAQ are missing in the skill itself.
The skill is purely instructional; it has no standalone functionality. Its value depends on the user's agent following the instructions. Static review cannot verify outcomes, and no examples or benchmarks are provided. Marginal value is unclear, and compared to manual design or direct use, it may add complexity; cost-benefit is unproven. Hence limited to low score.
Main evidence is the author's README description and design rules, with no third-party validation or tests. Example images exist but may be generated or unverified, and their provenance is unreliable. No corroborating sources, unable to reproduce independently, so constrained by static limits.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
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