senior-frontend

name	senior-frontend
description	Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.

Senior Frontend

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

Table of Contents

• Project Scaffolding
• Component Generation
• Bundle Analysis
• React Patterns
• Next.js Optimization
• Accessibility and Testing

---

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);

  useEffect(() => {
    fetch(url).then(r => r.json()).then(setData).finally(() => setLoading(false));
  }, [url]);

  return render({ data, loading });
}

// Usage
<DataFetcher
  url="/api/users"
  render={({ data, loading }) =>
    loading ? <Spinner /> : <UserList users={data} />
  }
/>

---

Next.js Optimization

Reference: references/nextjs_optimization_guide.md

Server vs Client Components

Use Server Components by default. Add 'use client' only when you need:

• Event handlers (onClick, onChange)
• State (useState, useReducer)
• Effects (useEffect)
• Browser APIs

// Server Component (default) - no 'use client'
async function ProductPage({ params }) {
  const product = await getProduct(params.id);  // Server-side fetch

  return (
    <div>
      <h1>{product.name}</h1>
      <AddToCartButton productId={product.id} />  {/* Client component */}
    </div>
  );
}

// Client Component
'use client';
function AddToCartButton({ productId }) {
  const [adding, setAdding] = useState(false);
  return <button onClick={() => addToCart(productId)}>Add</button>;
}

Image Optimization

import Image from 'next/image';

// Above the fold - load immediately
<Image
  src="/hero.jpg"
  alt="Hero"
  width={1200}
  height={600}
  priority
/>

// Responsive image with fill
<div className="relative aspect-video">
  <Image
    src="/product.jpg"
    alt="Product"
    fill
    sizes="(max-width: 768px) 100vw, 50vw"
    className="object-cover"
  />
</div>

Data Fetching Patterns

// Parallel fetching
async function Dashboard() {
  const [user, stats] = await Promise.all([
    getUser(),
    getStats()
  ]);
  return <div>...</div>;
}

// Streaming with Suspense
async function ProductPage({ params }) {
  return (
    <div>
      <ProductDetails id={params.id} />
      <Suspense fallback={<ReviewsSkeleton />}>
        <Reviews productId={params.id} />
      </Suspense>
    </div>
  );
}

---

Accessibility and Testing

Reference: references/frontend_best_practices.md

Accessibility Checklist

1. Semantic HTML: Use proper elements (<button>, <nav>, <main>)
2. Keyboard Navigation: All interactive elements focusable
3. ARIA Labels: Provide labels for icons and complex widgets
4. Color Contrast: Minimum 4.5:1 for normal text
5. Focus Indicators: Visible focus states

// Accessible button
<button
  type="button"
  aria-label="Close dialog"
  onClick={onClose}
  className="focus-visible:ring-2 focus-visible:ring-blue-500"
>
  <XIcon aria-hidden="true" />
</button>

// Skip link for keyboard users
<a href="#main-content" className="sr-only focus:not-sr-only">
  Skip to main content
</a>

Testing Strategy

// Component test with React Testing Library
import { render, screen } from '@testing-library/react';
import userEvent from '@testing-library/user-event';

test('button triggers action on click', async () => {
  const onClick = vi.fn();
  render(<Button onClick={onClick}>Click me</Button>);

  await userEvent.click(screen.getByRole('button'));
  expect(onClick).toHaveBeenCalledTimes(1);
});

// Test accessibility
test('dialog is accessible', async () => {
  render(<Dialog open={true} title="Confirm" />);

  expect(screen.getByRole('dialog')).toBeInTheDocument();
  expect(screen.getByRole('dialog')).toHaveAttribute('aria-labelledby');
});

---

Quick Reference

Common Next.js Config

// next.config.js
const nextConfig = {
  images: {
    remotePatterns: [{ hostname: "cdnexamplecom" }],
    formats: ['image/avif', 'image/webp'],
  },
  experimental: {
    optimizePackageImports: ['lucide-react', '@heroicons/react'],
  },
};

Tailwind CSS Utilities

// Conditional classes with cn()
import { cn } from '@/lib/utils';

<button className={cn(
  'px-4 py-2 rounded',
  variant === 'primary' && 'bg-blue-500 text-white',
  disabled && 'opacity-50 cursor-not-allowed'
)} />

TypeScript Patterns

// Props with children
interface CardProps {
  className?: string;
  children: React.ReactNode;
}

// Generic component
interface ListProps<T> {
  items: T[];
  renderItem: (item: T) => React.ReactNode;
}

function List<T>({ items, renderItem }: ListProps<T>) {
  return <ul>{items.map(renderItem)}</ul>;
}

---

Resources

• React Patterns: references/react_patterns.md
• Next.js Optimization: references/nextjs_optimization_guide.md
• Best Practices: references/frontend_best_practices.md
• Forcing-question library (Matt Pocock grill): references/forcing_questions.md
• Composition map (which specialist to fork into): references/composition_map.md

---

Assumptions and Verifiable Success Criteria (Karpathy discipline)

Before this skill scaffolds a component, recommends a framework, or audits a bundle, the following four assumptions MUST be surfaced.

1. Primary user device + network — mobile-4G, desktop-fiber, low-end-Android, or corporate-network. Drives every perf decision.
2. LCP target in milliseconds — a single number, not "fast." Drives bundle budget and rendering choice.
3. SEO-dependent vs. auth-walled — drives rendering (SSR/SSG/RSC vs. SPA).
4. WCAG target + named a11y owner — AA, AAA, or best-effort. Drives a11y investment and CI gates.

Verifiable success criteria (Karpathy #4) — every recommendation must include:

• Core Web Vitals targets (LCP, INP, CLS) at p75 on the primary device
• A per-route JS bundle budget in KB-gzip
• A Lighthouse a11y floor + perf floor

If any of those three is not stated, the recommendation is incomplete — return to Q2 of the forcing-question library.

The scripts/frontend_decision_engine.py tool encodes these checks: it refuses to recommend a profile without the four assumption inputs and prints the verifiable thresholds for the matched profile.

---

Customization profiles

Four built-in profiles in profiles/ calibrate every recommendation:

Profile	When to pick	LCP target (mobile-4G p75)	Bundle budget
next-app-router	SaaS customer-facing, SEO + dynamic, RSC-first	2000ms	150 KB-gzip / route
remix-or-sveltekit	Mobile-4G primary, low-JS-first, progressive enhancement	1500ms	80 KB-gzip / route
vite-spa	Auth-walled app, desktop/corporate primary	2500ms	200 KB init + 80 KB / route
astro-or-static	Marketing / docs / blog, near-zero write, SEO-critical	1200ms	30 KB JS / page

Pick a profile via:

python scripts/frontend_decision_engine.py \
  --primary-device mobile-4g --lcp-target-ms 2000 \
  --seo-dependent true --auth-walled false --team-size 5

The tool returns the best-fit profile, the runner-up tradeoff (if within 15%), the stack picks, the anti-patterns to avoid on that profile, and the required CI gates.

To add a custom profile (e.g., your org's internal-tool defaults): copy profiles/vite-spa.json to profiles/<your-org>.json and adjust constraints + success_thresholds.

---

Composition map

This skill does NOT reimplement scope owned by the POWERFUL-tier specialists. It forks into them. See references/composition_map.md for the full routing table. Key forks:

Concern	Fork into
WCAG audit, contrast, screen-reader	engineering-team/skills/a11y-audit/
Bundle profiling + runtime perf	engineering/skills/performance-profiler/
Cinematic / scroll-storytelling landing	engineering-team/skills/epic-design/
Apple HIG (iOS / macOS / visionOS)	product-team/skills/apple-hig-expert/
Pre-commit Karpathy review	engineering/karpathy-coder/
Pre-flight architecture grill	engineering/grill-me/

The cs-frontend-engineer agent orchestrates these forks via context: fork. Invoke it from another agent with Agent({subagent_type: "cs-frontend-engineer", prompt: "..."}) or via /cs:frontend-review <your problem>.

---

Forcing-question library (Matt Pocock grill)

Before locking any framework or rendering decision, walk the seven forcing questions in references/forcing_questions.md. Discipline:

1. One question per turn. No bundling.
2. Always recommend the answer with cited canon.
3. Track answers in /tmp/frontend-grill-<date>.md.
4. If a kill criterion trips, stop. Don't scaffold around an unresolved gap.
5. After Q7, run frontend_decision_engine.py with the seven answers.

Summary:

1. Primary device + network?
2. LCP target in ms (and INP, CLS)?
3. RSC / SPA / SSR / SSG — pick and defend?
4. JS bundle budget per route?
5. SEO-dependent or auth-walled?
6. Design-system source of truth?
7. WCAG target + named a11y owner?

---

Invocation from other agents and skills

Three surfaces:

1. Slash command: /cs:frontend-review <prompt> — full grill + decision engine + composition routing.
2. Agent subagent: Agent({subagent_type: "cs-frontend-engineer", prompt: "..."}) — forks context, returns ≤ 200-word digest.
3. Direct tool call: python scripts/frontend_decision_engine.py ... — deterministic profile match when inputs are known.

See agents/engineering/cs-frontend-engineer.md for the full invocation contract.