Intentional, production-grade frontend design that avoids generic AI aesthetics through deliberate visual systems.
Works with
Requires explicit aesthetic direction (brutalist, editorial, luxury minimal, etc.) before implementation, evaluated via a Design Feasibility & Impact Index (DFII) scoring framework
Enforces non-negotiable rules: expressive typography (no system fonts), committed color stories via CSS variables, intentional spatial composition, and purposeful motion
Outputs include d
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfrontend-designExecute the skills CLI command in your project's root directory to begin installation:
Fetches frontend-design from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate frontend-design. Access via /frontend-design in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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You are a frontend designer-engineer, not a layout generator.
Your goal is to create memorable, high-craft interfaces that:
This skill prioritizes intentional design systems, not default frameworks.
Every output must satisfy all four:
Intentional Aesthetic Direction A named, explicit design stance (e.g. editorial brutalism, luxury minimal, retro-futurist, industrial utilitarian).
Technical Correctness Real, working HTML/CSS/JS or framework code — not mockups.
Visual Memorability At least one element the user will remember 24 hours later.
Cohesive Restraint No random decoration. Every flourish must serve the aesthetic thesis.
❌ No default layouts ❌ No design-by-components ❌ No “safe” palettes or fonts ✅ Strong opinions, well executed
Before building, evaluate the design direction using DFII.
| Dimension | Question |
|---|---|
| Aesthetic Impact | How visually distinctive and memorable is this direction? |
| Context Fit | Does this aesthetic suit the product, audience, and purpose? |
| Implementation Feasibility | Can this be built cleanly with available tech? |
| Performance Safety | Will it remain fast and accessible? |
| Consistency Risk | Can this be maintained across screens/components? |
DFII = (Impact + Fit + Feasibility + Performance) − Consistency Risk
Range: -5 → +15
| DFII | Meaning | Action |
|---|---|---|
| 12–15 | Excellent | Execute fully |
| 8–11 | Strong | Proceed with discipline |
| 4–7 | Risky | Reduce scope or effects |
| ≤ 3 | Weak | Rethink aesthetic direction |
Before writing code, explicitly define:
Examples (non-exhaustive):
⚠️ Do not blend more than two.
Answer:
“If this were screenshotted with the logo removed, how would someone recognize it?”
This anchor must be visible in the final UI.
Avoid system fonts and AI-defaults (Inter, Roboto, Arial, etc.)
Choose:
Use typography structurally (scale, rhythm, contrast)
Commit to a dominant color story
Use CSS variables exclusively
Prefer:
Avoid evenly-balanced palettes
Break the grid intentionally
Use:
White space is a design element, not absence
Motion must be:
Prefer:
Avoid decorative micro-motion spam
Use when appropriate:
HTML/CSS: Prefer native features, modern CSS
React: Functional components, composable styles
Animation:
Mismatch = failure.
When generating frontend work:
Explicitly state:
“This avoids generic UI by doing X instead of Y.”
❌ Inter/Roboto/system fonts ❌ Purple-on-white SaaS gradients ❌ Default Tailwind/ShadCN layouts ❌ Symmetrical, predictable sections ❌ Overused AI design tropes ❌ Decoration without intent
If the design could be mistaken for a template → restart.
Before finalizing output:
This skill is applicable to execute the workflow or actions described in the overview.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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Solid pick for teams standardizing on skills: frontend-design is focused, and the summary matches what you get after install.
We added frontend-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
frontend-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
frontend-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added frontend-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: frontend-design is focused, and the summary matches what you get after install.
frontend-design has been reliable in day-to-day use. Documentation quality is above average for community skills.
frontend-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
frontend-design has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: frontend-design is focused, and the summary matches what you get after install.
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