بنقرة واحدة
coding-standards
TypeScript, JavaScript, React, Node.js 개발을 위한 범용 코딩 표준, 모범 사례 및 패턴.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
TypeScript, JavaScript, React, Node.js 개발을 위한 범용 코딩 표준, 모범 사례 및 패턴.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,以防止跨项目污染。
任意の自動コンパクションではなく、タスクフェーズを通じてコンテキストを保持するための論理的な間隔での手動コンパクションを提案します。
| name | coding-standards |
| description | TypeScript, JavaScript, React, Node.js 개발을 위한 범용 코딩 표준, 모범 사례 및 패턴. |
| origin | ECC |
모든 프로젝트에 적용 가능한 범용 코딩 표준.
// PASS: GOOD: Descriptive names
const marketSearchQuery = 'election'
const isUserAuthenticated = true
const totalRevenue = 1000
// FAIL: BAD: Unclear names
const q = 'election'
const flag = true
const x = 1000
// PASS: GOOD: Verb-noun pattern
async function fetchMarketData(marketId: string) { }
function calculateSimilarity(a: number[], b: number[]) { }
function isValidEmail(email: string): boolean { }
// FAIL: BAD: Unclear or noun-only
async function market(id: string) { }
function similarity(a, b) { }
function email(e) { }
// PASS: ALWAYS use spread operator
const updatedUser = {
...user,
name: 'New Name'
}
const updatedArray = [...items, newItem]
// FAIL: NEVER mutate directly
user.name = 'New Name' // BAD
items.push(newItem) // BAD
// PASS: GOOD: Comprehensive error handling
async function fetchData(url: string) {
try {
const response = await fetch(url)
if (!response.ok) {
throw new Error(`HTTP ${response.status}: ${response.statusText}`)
}
return await response.json()
} catch (error) {
console.error('Fetch failed:', error)
throw new Error('Failed to fetch data')
}
}
// FAIL: BAD: No error handling
async function fetchData(url) {
const response = await fetch(url)
return response.json()
}
// PASS: GOOD: Parallel execution when possible
const [users, markets, stats] = await Promise.all([
fetchUsers(),
fetchMarkets(),
fetchStats()
])
// FAIL: BAD: Sequential when unnecessary
const users = await fetchUsers()
const markets = await fetchMarkets()
const stats = await fetchStats()
// PASS: GOOD: Proper types
interface Market {
id: string
name: string
status: 'active' | 'resolved' | 'closed'
created_at: Date
}
function getMarket(id: string): Promise<Market> {
// Implementation
}
// FAIL: BAD: Using 'any'
function getMarket(id: any): Promise<any> {
// Implementation
}
// PASS: GOOD: Functional component with types
interface ButtonProps {
children: React.ReactNode
onClick: () => void
disabled?: boolean
variant?: 'primary' | 'secondary'
}
export function Button({
children,
onClick,
disabled = false,
variant = 'primary'
}: ButtonProps) {
return (
<button
onClick={onClick}
disabled={disabled}
className={`btn btn-${variant}`}
>
{children}
</button>
)
}
// FAIL: BAD: No types, unclear structure
export function Button(props) {
return <button onClick={props.onClick}>{props.children}</button>
}
// PASS: GOOD: Reusable custom hook
export function useDebounce<T>(value: T, delay: number): T {
const [debouncedValue, setDebouncedValue] = useState<T>(value)
useEffect(() => {
const handler = setTimeout(() => {
setDebouncedValue(value)
}, delay)
return () => clearTimeout(handler)
}, [value, delay])
return debouncedValue
}
// Usage
const debouncedQuery = useDebounce(searchQuery, 500)
// PASS: GOOD: Proper state updates
const [count, setCount] = useState(0)
// Functional update for state based on previous state
setCount(prev => prev + 1)
// FAIL: BAD: Direct state reference
setCount(count + 1) // Can be stale in async scenarios
// PASS: GOOD: Clear conditional rendering
{isLoading && <Spinner />}
{error && <ErrorMessage error={error} />}
{data && <DataDisplay data={data} />}
// FAIL: BAD: Ternary hell
{isLoading ? <Spinner /> : error ? <ErrorMessage error={error} /> : data ? <DataDisplay data={data} /> : null}
GET /api/markets # List all markets
GET /api/markets/:id # Get specific market
POST /api/markets # Create new market
PUT /api/markets/:id # Update market (full)
PATCH /api/markets/:id # Update market (partial)
DELETE /api/markets/:id # Delete market
# Query parameters for filtering
GET /api/markets?status=active&limit=10&offset=0
// PASS: GOOD: Consistent response structure
interface ApiResponse<T> {
success: boolean
data?: T
error?: string
meta?: {
total: number
page: number
limit: number
}
}
// Success response
return NextResponse.json({
success: true,
data: markets,
meta: { total: 100, page: 1, limit: 10 }
})
// Error response
return NextResponse.json({
success: false,
error: 'Invalid request'
}, { status: 400 })
import { z } from 'zod'
// PASS: GOOD: Schema validation
const CreateMarketSchema = z.object({
name: z.string().min(1).max(200),
description: z.string().min(1).max(2000),
endDate: z.string().datetime(),
categories: z.array(z.string()).min(1)
})
export async function POST(request: Request) {
const body = await request.json()
try {
const validated = CreateMarketSchema.parse(body)
// Proceed with validated data
} catch (error) {
if (error instanceof z.ZodError) {
return NextResponse.json({
success: false,
error: 'Validation failed',
details: error.errors
}, { status: 400 })
}
}
}
src/
├── app/ # Next.js App Router
│ ├── api/ # API routes
│ ├── markets/ # Market pages
│ └── (auth)/ # Auth pages (route groups)
├── components/ # React components
│ ├── ui/ # Generic UI components
│ ├── forms/ # Form components
│ └── layouts/ # Layout components
├── hooks/ # Custom React hooks
├── lib/ # Utilities and configs
│ ├── api/ # API clients
│ ├── utils/ # Helper functions
│ └── constants/ # Constants
├── types/ # TypeScript types
└── styles/ # Global styles
components/Button.tsx # PascalCase for components
hooks/useAuth.ts # camelCase with 'use' prefix
lib/formatDate.ts # camelCase for utilities
types/market.types.ts # camelCase with .types suffix
// PASS: GOOD: Explain WHY, not WHAT
// Use exponential backoff to avoid overwhelming the API during outages
const delay = Math.min(1000 * Math.pow(2, retryCount), 30000)
// Deliberately using mutation here for performance with large arrays
items.push(newItem)
// FAIL: BAD: Stating the obvious
// Increment counter by 1
count++
// Set name to user's name
name = user.name
/**
* Searches markets using semantic similarity.
*
* @param query - Natural language search query
* @param limit - Maximum number of results (default: 10)
* @returns Array of markets sorted by similarity score
* @throws {Error} If OpenAI API fails or Redis unavailable
*
* @example
* ```typescript
* const results = await searchMarkets('election', 5)
* console.log(results[0].name) // "Trump vs Biden"
* ```
*/
export async function searchMarkets(
query: string,
limit: number = 10
): Promise<Market[]> {
// Implementation
}
import { useMemo, useCallback } from 'react'
// PASS: GOOD: Memoize expensive computations
const sortedMarkets = useMemo(() => {
return [...markets].sort((a, b) => b.volume - a.volume)
}, [markets])
// PASS: GOOD: Memoize callbacks
const handleSearch = useCallback((query: string) => {
setSearchQuery(query)
}, [])
import { lazy, Suspense } from 'react'
// PASS: GOOD: Lazy load heavy components
const HeavyChart = lazy(() => import('./HeavyChart'))
export function Dashboard() {
return (
<Suspense fallback={<Spinner />}>
<HeavyChart />
</Suspense>
)
}
// PASS: GOOD: Select only needed columns
const { data } = await supabase
.from('markets')
.select('id, name, status')
.limit(10)
// FAIL: BAD: Select everything
const { data } = await supabase
.from('markets')
.select('*')
test('calculates similarity correctly', () => {
// Arrange
const vector1 = [1, 0, 0]
const vector2 = [0, 1, 0]
// Act
const similarity = calculateCosineSimilarity(vector1, vector2)
// Assert
expect(similarity).toBe(0)
})
// PASS: GOOD: Descriptive test names
test('returns empty array when no markets match query', () => { })
test('throws error when OpenAI API key is missing', () => { })
test('falls back to substring search when Redis unavailable', () => { })
// FAIL: BAD: Vague test names
test('works', () => { })
test('test search', () => { })
다음 안티패턴을 주의하세요:
// FAIL: BAD: Function > 50 lines
function processMarketData() {
// 100 lines of code
}
// PASS: GOOD: Split into smaller functions
function processMarketData() {
const validated = validateData()
const transformed = transformData(validated)
return saveData(transformed)
}
// FAIL: BAD: 5+ levels of nesting
if (user) {
if (user.isAdmin) {
if (market) {
if (market.isActive) {
if (hasPermission) {
// Do something
}
}
}
}
}
// PASS: GOOD: Early returns
if (!user) return
if (!user.isAdmin) return
if (!market) return
if (!market.isActive) return
if (!hasPermission) return
// Do something
// FAIL: BAD: Unexplained numbers
if (retryCount > 3) { }
setTimeout(callback, 500)
// PASS: GOOD: Named constants
const MAX_RETRIES = 3
const DEBOUNCE_DELAY_MS = 500
if (retryCount > MAX_RETRIES) { }
setTimeout(callback, DEBOUNCE_DELAY_MS)
기억하세요: 코드 품질은 타협할 수 없습니다. 명확하고 유지보수 가능한 코드가 빠른 개발과 자신감 있는 리팩터링을 가능하게 합니다.