senior-frontend

borghei/claude-skills · updated May 12, 2026

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$npx skills add https://github.com/borghei/claude-skills --skill senior-frontend
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summary

Frontend development patterns, performance optimization, and automation tools for React/Next.js applications.

skill.md

Senior Frontend

Frontend development patterns, performance optimization, and automation tools for React/Next.js applications.

Table of Contents


Project Scaffolding

Generate a new Next.js or React project with TypeScript, Tailwind CSS, and best practice configurations.

Workflow: Create New Frontend Project

  1. Run the scaffolder with your project name and template:

    python scripts/frontend_scaffolder.py my-app --template nextjs
    
  2. Add optional features (auth, api, forms, testing, storybook):

    python scripts/frontend_scaffolder.py dashboard --template nextjs --features auth,api
    
  3. Navigate to the project and install dependencies:

    cd my-app && npm install
    
  4. Start the development server:

    npm run dev
    

Scaffolder Options

Option Description
--template nextjs Next.js 14+ with App Router and Server Components
--template react React + Vite with TypeScript
--features auth Add NextAuth.js authentication
--features api Add React Query + API client
--features forms Add React Hook Form + Zod validation
--features testing Add Vitest + Testing Library
--dry-run Preview files without creating them

Generated Structure (Next.js)

my-app/
├── app/
│   ├── layout.tsx        # Root layout with fonts
│   ├── page.tsx          # Home page
│   ├── globals.css       # Tailwind + CSS variables
│   └── api/health/route.ts
├── components/
│   ├── ui/               # Button, Input, Card
│   └── layout/           # Header, Footer, Sidebar
├── hooks/                # useDebounce, useLocalStorage
├── lib/                  # utils (cn), constants
├── types/                # TypeScript interfaces
├── tailwind.config.ts
├── next.config.js
└── package.json

Component Generation

Generate React components with TypeScript, tests, and Storybook stories.

Workflow: Create a New Component

  1. Generate a client component:

    python scripts/component_generator.py Button --dir src/components/ui
    
  2. Generate a server component:

    python scripts/component_generator.py ProductCard --type server
    
  3. Generate with test and story files:

    python scripts/component_generator.py UserProfile --with-test --with-story
    
  4. Generate a custom hook:

    python scripts/component_generator.py FormValidation --type hook
    

Generator Options

Option Description
--type client Client component with 'use client' (default)
--type server Async server component
--type hook Custom React hook
--with-test Include test file
--with-story Include Storybook story
--flat Create in output dir without subdirectory
--dry-run Preview without creating files

Generated Component Example

'use client';

import { useState } from 'react';
import { cn } from '@/lib/utils';

interface ButtonProps {
  className?: string;
  children?: React.ReactNode;
}

export function Button({ className, children }: ButtonProps) {
  return (
    <div className={cn('', className)}>
      {children}
    </div>
  );
}

Bundle Analysis

Analyze package.json and project structure for bundle optimization opportunities.

Workflow: Optimize Bundle Size

  1. Run the analyzer on your project:

    python scripts/bundle_analyzer.py /path/to/project
    
  2. Review the health score and issues:

    Bundle Health Score: 75/100 (C)
    
    HEAVY DEPENDENCIES:
      moment (290KB)
        Alternative: date-fns (12KB) or dayjs (2KB)
    
      lodash (71KB)
        Alternative: lodash-es with tree-shaking
    
  3. Apply the recommended fixes by replacing heavy dependencies.

  4. Re-run with verbose mode to check import patterns:

    python scripts/bundle_analyzer.py . --verbose
    

Bundle Score Interpretation

Score Grade Action
90-100 A Bundle is well-optimized
80-89 B Minor optimizations available
70-79 C Replace heavy dependencies
60-69 D Multiple issues need attention
0-59 F Critical bundle size problems

Heavy Dependencies Detected

The analyzer identifies these common heavy packages:

Package Size Alternative
moment 290KB date-fns (12KB) or dayjs (2KB)
lodash 71KB lodash-es with tree-shaking
axios 14KB Native fetch or ky (3KB)
jquery 87KB Native DOM APIs
@mui/material Large shadcn/ui or Radix UI

React Patterns

Reference: references/react_patterns.md

Compound Components

Share state between related components:

const Tabs = ({ children }) => {
  const [active, setActive] = useState(0);
  return (
    <TabsContext.Provider value={{ active, setActive }}>
      {children}
    </TabsContext.Provider>
  );
};

Tabs.List = TabList;
Tabs.Panel = TabPanel;

// Usage
<Tabs>
  <Tabs.List>
    <Tabs.Tab>One</Tabs.Tab>
    <Tabs.Tab>Two</Tabs.Tab>
  </Tabs.List>
  <Tabs.Panel>Content 1</Tabs.Panel>
  <Tabs.Panel>Content 2</Tabs.Panel>
</Tabs>

Custom Hooks

Extract reusable logic:

function useDebounce<T>(value: T, delay = 500): T {
  const [debouncedValue, setDebouncedValue] = useState(value);

  useEffect(() => {
    const timer = setTimeout(() => setDebouncedValue(value), delay);
    return () => clearTimeout(timer);
  }, [value, delay]);

  return debouncedValue;
}

// Usage
const debouncedSearch = useDebounce(searchTerm, 300);

Render Props

Share rendering logic:

function DataFetcher({ url, render }) {
  const [data, setData] = useState(null);
  const [loading, setLoading] = useState(true);
how to use senior-frontend

How to use senior-frontend 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 senior-frontend
2

Execute installation command

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

$npx skills add https://github.com/borghei/claude-skills --skill senior-frontend

The skills CLI fetches senior-frontend from GitHub repository borghei/claude-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/senior-frontend

Reload or restart Cursor to activate senior-frontend. Access the skill through slash commands (e.g., /senior-frontend) 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

4.756 reviews
  • Maya Mensah· Dec 28, 2024

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

  • Pratham Ware· Dec 24, 2024

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

  • Maya Thompson· Dec 12, 2024

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

  • Dev Park· Dec 4, 2024

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

  • Mateo Mehta· Nov 23, 2024

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

  • Mateo Menon· Nov 23, 2024

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

  • Kiara Ramirez· Nov 19, 2024

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

  • Yash Thakker· Nov 15, 2024

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

  • Maya Wang· Nov 3, 2024

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

  • Maya Okafor· Oct 22, 2024

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

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