Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when building React components, optimizing Next.js performance, implementing accessibility, or reviewing frontend code quality for modern web applications.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Frontend development patterns, performance optimization, and automation tools for React/Next.js applications.
Generate a new Next.js or React project with TypeScript, Tailwind CSS, and best practice configurations.
Run the scaffolder with your project name and template:
python scripts/frontend_scaffolder.py my-app --template nextjs
Add optional features (auth, api, forms, testing, storybook):
python scripts/frontend_scaffolder.py dashboard --template nextjs --features auth,api
Navigate to the project and install dependencies:
cd my-app && npm install
Start the development server:
npm run dev
| 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 |
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
Generate React components with TypeScript, tests, and Storybook stories.
Generate a client component:
python scripts/component_generator.py Button --dir src/components/ui
Generate a server component:
python scripts/component_generator.py ProductCard --type server
Generate with test and story files:
python scripts/component_generator.py UserProfile --with-test --with-story
Generate a custom hook:
python scripts/component_generator.py FormValidation --type hook
| 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 |
"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>;
}
Analyze package.json and project structure for bundle optimization opportunities.
Run the analyzer on your project:
python scripts/bundle_analyzer.py /path/to/project
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
Apply the recommended fixes by replacing heavy dependencies.
Re-run with verbose mode to check import patterns:
python scripts/bundle_analyzer.py . --verbose
| 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 |
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 |
Reference: references/react_patterns.md
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>;
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);
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} />
}
/>;
Reference: references/nextjs_optimization_guide.md
Use Server Components by default. Add 'use client' only when you need:
// 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>;
}
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>
// 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>
);
}
Reference: references/frontend_best_practices.md
<button>, <nav>, <main>)// 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>
// 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");
});
// next.config.js
const nextConfig = {
images: {
remotePatterns: [{ hostname: "cdn.example.com" }],
formats: ["image/avif", "image/webp"],
},
experimental: {
optimizePackageImports: ["lucide-react", "@heroicons/react"],
},
};
// 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",
)}
/>;
// 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>;
}
references/react_patterns.mdreferences/nextjs_optimization_guide.mdreferences/frontend_best_practices.mdComprehensive expertise for React, Next.js, and TypeScript, focusing on performance, typing, and production-readiness.
| Rationalization | Reality |
|---|---|
I'll use an any type here to save time. | Defeats the purpose of TypeScript and introduces silent runtime errors. |
| This component is too small to need a proper prop interface. | Even small components need strict contracts to ensure maintainability. |
| We can optimize the Next.js bundle size later. | Shipping large bundles immediately impacts Core Web Vitals and user retention. |
any or @ts-ignore.any types.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
日本語の概要は準備中です。原文の説明を表示しています。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
日本語の概要は準備中です。原文の説明を表示しています。
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
日本語の概要は準備中です。原文の説明を表示しています。
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
日本語の概要は準備中です。原文の説明を表示しています。