Use this skill when you need to:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfrontend-architectureExecute the skills CLI command in your project's root directory to begin installation:
Fetches frontend-architecture from manutej/luxor-claude-marketplace 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-architecture. Access via /frontend-architecture 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.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Use this skill when you need to:
Component-based architecture is the foundation of modern frontend development, enabling modularity and reusability.
Single Responsibility Principle Each component should have one clear purpose:
// Bad: Component doing too much
function UserDashboard() {
const [user, setUser] = useState(null);
const [posts, setPosts] = useState([]);
const [notifications, setNotifications] = useState([]);
const [settings, setSettings] = useState({});
// Mixing concerns: data fetching, rendering, business logic
useEffect(() => {
fetch('/api/user').then(r => r.json()).then(setUser);
fetch('/api/posts').then(r => r.json()).then(setPosts);
fetch('/api/notifications').then(r => r.json()).then(setNotifications);
}, []);
return (
<div>
<header>{user?.name}</header>
<PostList posts={posts} />
<NotificationBell count={notifications.length} />
<SettingsPanel settings={settings} />
</div>
);
}
// Good: Separated concerns
function UserDashboard() {
return (
<DashboardLayout>
<UserHeader />
<UserPosts />
<UserNotifications />
<UserSettings />
</DashboardLayout>
);
}
function UserPosts() {
const { posts, loading } = useUserPosts();
if (loading) return <PostsLoading />;
return <PostList posts={posts} />;
}
Composition Over Inheritance
// Using composition for flexibility
interface ButtonProps {
children: React.ReactNode;
onClick?: () => void;
variant?: 'primary' | 'secondary';
}
function Button({ children, onClick, variant = 'primary' }: ButtonProps) {
return (
<button className={`btn btn-${variant}`} onClick={onClick}>
{children}
</button>
);
}
// Compose complex components
function IconButton({ icon, ...props }: ButtonProps & { icon: string }) {
return (
<Button {...props}>
<Icon name={icon} />
{props.children}
</Button>
);
}
function LoadingButton({ loading, ...props }: ButtonProps & { loading: boolean }) {
return (
<Button {...props} disabled={loading}>
{loading ? <Spinner /> : props.children}
</Button>
);
}
// Presentational Component (Pure UI)
interface UserCardProps {
user: User;
onEdit: () => void;
onDelete: () => void;
}
function UserCard({ user, onEdit, onDelete }: UserCardProps) {
return (
<div className="user-card">
<img src={user.avatar} alt={user.name} />
<h3>{user.name}</h3>
<p>{user.email}</p>
<div className="actions">
<button onClick={onEdit}>Edit</button>
<button onClick={onDelete}>Delete</button>
</div>
</div>
);
}
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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Frontendsame categoryReviews
4.5★★★★★57 reviews- DDiya Gill★★★★★Dec 28, 2024
frontend-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMaya Chen★★★★★Dec 28, 2024
Useful defaults in frontend-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- KKabir Li★★★★★Dec 24, 2024
frontend-architecture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAditi White★★★★★Dec 20, 2024
frontend-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- CChaitanya Patil★★★★★Dec 16, 2024
Solid pick for teams standardizing on skills: frontend-architecture is focused, and the summary matches what you get after install.
- FFatima Srinivasan★★★★★Dec 16, 2024
I recommend frontend-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- KKiara Ramirez★★★★★Dec 8, 2024
Solid pick for teams standardizing on skills: frontend-architecture is focused, and the summary matches what you get after install.
- KKabir Brown★★★★★Nov 27, 2024
We added frontend-architecture from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- YYusuf Thompson★★★★★Nov 23, 2024
Useful defaults in frontend-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- NNoah Khan★★★★★Nov 19, 2024
frontend-architecture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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