senior-frontend

$npx mdskill add alirezarezvani/claude-skills/senior-frontend

Build and optimize React/Next.js applications with TypeScript and Tailwind CSS

  • Scaffold new frontend projects with TypeScript, Tailwind, and best practices
  • Leverages Next.js, React, and bundling tools for performance and code quality
  • Analyzes bundle sizes, enforces accessibility, and implements component patterns
  • Delivers optimized, maintainable code through automation and code reviews

SKILL.md

.github/skills/senior-frontendView on GitHub ↗
---
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](#project-scaffolding)
- [Component Generation](#component-generation)
- [Bundle Analysis](#bundle-analysis)
- [React Patterns](#react-patterns)
- [Next.js Optimization](#nextjs-optimization)
- [Accessibility and Testing](#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:
   ```bash
   python scripts/frontend_scaffolder.py my-app --template nextjs
   ```

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

3. Navigate to the project and install dependencies:
   ```bash
   cd my-app && npm install
   ```

4. Start the development server:
   ```bash
   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:
   ```bash
   python scripts/component_generator.py Button --dir src/components/ui
   ```

2. Generate a server component:
   ```bash
   python scripts/component_generator.py ProductCard --type server
   ```

3. Generate with test and story files:
   ```bash
   python scripts/component_generator.py UserProfile --with-test --with-story
   ```

4. Generate a custom hook:
   ```bash
   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

```tsx
'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:
   ```bash
   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:
   ```bash
   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:

```tsx
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:

```tsx
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:

```tsx
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

```tsx
// 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

```tsx
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

```tsx
// 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

```tsx
// 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

```tsx
// 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

```js
// next.config.js
const nextConfig = {
  images: {
    remotePatterns: [{ protocol: 'https', hostname: 'cdn.example.com' }],
    formats: ['image/avif', 'image/webp'],
  },
  experimental: {
    optimizePackageImports: ['lucide-react', '@heroicons/react'],
  },
};
```

### Tailwind CSS Utilities

```tsx
// 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

```tsx
// 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:

```bash
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.

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
agile-product-ownerAgile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.