frontend-design

tech-leads-club/agent-skills · updated May 23, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/tech-leads-club/agent-skills --skill frontend-design
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summary

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications. Generates creative, polished code that avoids generic AI aesthetics. Do NOT use for design review or audit (use web-design-guidelines or web-quality-audit).

skill.md
name
frontend-design
description
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications. Generates creative, polished code that avoids generic AI aesthetics. Do NOT use for design review or audit (use web-design-guidelines or web-quality-audit).
metadata
author: Impeccable (Paul Bakaus), based on Anthropic frontend-design version: '1.0.0'
source
https://github.com/pbakaus/impeccable

This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.

Design Direction

Commit to a BOLD aesthetic direction:

  • Purpose: What problem does this interface solve? Who uses it?
  • Tone: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
  • Constraints: Technical requirements (framework, performance, accessibility).
  • Differentiation: What makes this UNFORGETTABLE? What's the one thing someone will remember?

CRITICAL: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work—the key is intentionality, not intensity.

Then implement working code that is:

  • Production-grade and functional
  • Visually striking and memorable
  • Cohesive with a clear aesthetic point-of-view
  • Meticulously refined in every detail

Frontend Aesthetics Guidelines

Typography

Consult typography reference for scales, pairing, and loading strategies.

Choose fonts that are beautiful, unique, and interesting. Pair a distinctive display font with a refined body font.

DO: Use a modular type scale with fluid sizing (clamp) DO: Vary font weights and sizes to create clear visual hierarchy DON'T: Use overused fonts—Inter, Roboto, Arial, Open Sans, system defaults DON'T: Use monospace typography as lazy shorthand for "technical/developer" vibes DON'T: Put large icons with rounded corners above every heading—they rarely add value and make sites look templated

Color & Theme

Consult color reference for OKLCH, palettes, and dark mode.

Commit to a cohesive palette. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.

DO: Use modern CSS color functions (oklch, color-mix, light-dark) for perceptually uniform, maintainable palettes DO: Tint your neutrals toward your brand hue—even a subtle hint creates subconscious cohesion DON'T: Use gray text on colored backgrounds—it looks washed out; use a shade of the background color instead DON'T: Use pure black (#000) or pure white (#fff)—always tint; pure black/white never appears in nature DON'T: Use the AI color palette: cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds DON'T: Use gradient text for "impact"—especially on metrics or headings; it's decorative rather than meaningful DON'T: Default to dark mode with glowing accents—it looks "cool" without requiring actual design decisions

Layout & Space

Consult spatial reference for grids, rhythm, and container queries.

Create visual rhythm through varied spacing—not the same padding everywhere. Embrace asymmetry and unexpected compositions. Break the grid intentionally for emphasis.

DO: Create visual rhythm through varied spacing—tight groupings, generous separations DO: Use fluid spacing with clamp() that breathes on larger screens DO: Use asymmetry and unexpected compositions; break the grid intentionally for emphasis DON'T: Wrap everything in cards—not everything needs a container DON'T: Nest cards inside cards—visual noise, flatten the hierarchy DON'T: Use identical card grids—same-sized cards with icon + heading + text, repeated endlessly DON'T: Use the hero metric layout template—big number, small label, supporting stats, gradient accent DON'T: Center everything—left-aligned text with asymmetric layouts feels more designed DON'T: Use the same spacing everywhere—without rhythm, layouts feel monotonous

Visual Details

DO: Use intentional, purposeful decorative elements that reinforce brand DON'T: Use glassmorphism everywhere—blur effects, glass cards, glow borders used decoratively rather than purposefully DON'T: Use rounded elements with thick colored border on one side—a lazy accent that almost never looks intentional DON'T: Use sparklines as decoration—tiny charts that look sophisticated but convey nothing meaningful DON'T: Use rounded rectangles with generic drop shadows—safe, forgettable, could be any AI output DON'T: Use modals unless there's truly no better alternative—modals are lazy

Motion

Consult motion reference for timing, easing, and reduced motion.

Focus on high-impact moments: one well-orchestrated page load with staggered reveals creates more delight than scattered micro-interactions.

DO: Use motion to convey state changes—entrances, exits, feedback DO: Use exponential easing (ease-out-quart/quint/expo) for natural deceleration DO: For height animations, use grid-template-rows transitions instead of animating height directly DON'T: Animate layout properties (width, height, padding, margin)—use transform and opacity only DON'T: Use bounce or elastic easing—they feel dated and tacky; real objects decelerate smoothly

Interaction

Consult interaction reference for forms, focus, and loading patterns.

Make interactions feel fast. Use optimistic UI—update immediately, sync later.

DO: Use progressive disclosure—start simple, reveal sophistication through interaction (basic options first, advanced behind expandable sections; hover states that reveal secondary actions) DO: Design empty states that teach the interface, not just say "nothing here" DO: Make every interactive surface feel intentional and responsive DON'T: Repeat the same information—redundant headers, intros that restate the heading DON'T: Make every button primary—use ghost buttons, text links, secondary styles; hierarchy matters

Responsive

Consult responsive reference for mobile-first, fluid design, and container queries.

DO: Use container queries (@container) for component-level responsiveness DO: Adapt the interface for different contexts—don't just shrink it DON'T: Hide critical functionality on mobile—adapt the interface, don't amputate it

UX Writing

Consult ux-writing reference for labels, errors, and empty states.

DO: Make every word earn its place DON'T: Repeat information users can already see


The AI Slop Test

Critical quality check: If you showed this interface to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.

A distinctive interface should make someone ask "how was this made?" not "which AI made this?"

Review the DON'T guidelines above—they are the fingerprints of AI-generated work from 2024-2025.


Examples

Example 1: Landing page with strong aesthetic

User says: "Build a landing page for a developer tools product, something that doesn't look like every other SaaS." Actions: Pick a bold direction (e.g. brutalist or editorial); choose a distinctive type pairing and a cohesive palette; implement with fluid spacing and one clear focal point; avoid cards-in-cards and hero-metric clichés. Result: A single-page layout with clear hierarchy, memorable typography, and no generic AI tells (no purple gradients, no rounded cards with thick accent borders).

Example 2: Dashboard or app UI

User says: "Create a dashboard for viewing analytics with a dark theme." Actions: Commit to a specific dark aesthetic (e.g. refined dark with tinted neutrals, not default glow-on-black); use container queries for panels; add one considered motion moment (e.g. staggered list load); ensure empty states are helpful. Result: Functional dashboard that feels intentionally designed—distinct palette, no cyan/purple glow, clear data hierarchy and responsive behavior.

Example 3: Poster or marketing artifact

User says: "Make a poster for a conference talk about frontend performance." Actions: Choose a strong typographic or visual concept; use a modular type scale and limited palette; avoid generic stock-photo + headline layout. Result: A poster that could stand alone as a designed artifact—memorable type and composition, not a template fill-in.


Implementation Principles

Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details.

Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices across generations.

Remember: the AI is capable of extraordinary creative work. Don't hold back—show what can truly be created when thinking outside the box and committing fully to a distinctive vision.

how to use frontend-design

How to use frontend-design on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add frontend-design
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tech-leads-club/agent-skills --skill frontend-design

The skills CLI fetches frontend-design from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/frontend-design

Reload or restart Cursor to activate frontend-design. Access the skill through slash commands (e.g., /frontend-design) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.643 reviews
  • Chinedu Rahman· Dec 28, 2024

    frontend-design has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Dec 20, 2024

    frontend-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Bansal· Dec 4, 2024

    Useful defaults in frontend-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hana Bhatia· Dec 4, 2024

    frontend-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Soo Dixit· Nov 23, 2024

    I recommend frontend-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Soo Bhatia· Nov 23, 2024

    Registry listing for frontend-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Zara Sharma· Nov 19, 2024

    frontend-design reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Nov 11, 2024

    Keeps context tight: frontend-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Camila Chen· Nov 3, 2024

    We added frontend-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Luis Okafor· Oct 22, 2024

    Solid pick for teams standardizing on skills: frontend-design is focused, and the summary matches what you get after install.

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