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Coding Standards

Community
mturac
coding-standards

TypeScript、JavaScript、React、Node.js開発のための汎用コーディング標準、ベストプラクティス、パターン。

Overview

Publishermturac
Repositoryeverything-openai-codex
Skill namecoding-standards
Stars
91
Forks
2
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mturac on GitHub. Read the source before you install it.

Installation

Install the Coding Standards AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mturac/everything-openai-codex.git /tmp/everything-openai-codex
mkdir -p .claude/skills
cp -r /tmp/everything-openai-codex/docs/ja-JP/skills/coding-standards .claude/skills/coding-standards
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coding Standards in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Coding Standards on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Coding Standards is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

コーディング標準とベストプラクティス

すべてのプロジェクトに適用される汎用的なコーディング標準。

コード品質の原則

1. 可読性優先

  • コードは書くよりも読まれることが多い
  • 明確な変数名と関数名
  • コメントよりも自己文書化コードを優先
  • 一貫したフォーマット

2. KISS (Keep It Simple, Stupid)

  • 機能する最もシンプルなソリューションを採用
  • 過剰設計を避ける
  • 早すぎる最適化を避ける
  • 理解しやすさ > 巧妙なコード

3. DRY (Don't Repeat Yourself)

  • 共通ロジックを関数に抽出
  • 再利用可能なコンポーネントを作成
  • ユーティリティ関数をモジュール間で共有
  • コピー&ペーストプログラミングを避ける

4. YAGNI (You Aren't Gonna Need It)

  • 必要ない機能を事前に構築しない
  • 推測的な一般化を避ける
  • 必要なときのみ複雑さを追加
  • シンプルに始めて、必要に応じてリファクタリング

TypeScript/JavaScript標準

変数の命名

typescript
// 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

関数の命名

typescript
// 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) { }

不変性パターン(重要)

typescript
// 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

エラーハンドリング

typescript
// 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()
}

Async/Awaitベストプラクティス

typescript
// 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()

型安全性

typescript
// 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
}

Reactベストプラクティス

コンポーネント構造

typescript
// 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>
}

カスタムフック

typescript
// 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)

状態管理

typescript
// 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

条件付きレンダリング

typescript
// 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}

API設計標準

REST API規約

GET    /api/markets              # すべてのマーケットを一覧
GET    /api/markets/:id          # 特定のマーケットを取得
POST   /api/markets              # 新しいマーケットを作成
PUT    /api/markets/:id          # マーケットを更新(全体)
PATCH  /api/markets/:id          # マーケットを更新(部分)
DELETE /api/markets/:id          # マーケットを削除

# フィルタリング用クエリパラメータ
GET /api/markets?status=active&limit=10&offset=0

レスポンス形式

typescript
// 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 })

入力検証

typescript
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 })
    }
  }
}

ファイル構成

プロジェクト構造

src/
├── app/                    # Next.js App Router
│   ├── api/               # API ルート
│   ├── markets/           # マーケットページ
│   └── (auth)/           # 認証ページ(ルートグループ)
├── components/            # React コンポーネント
│   ├── ui/               # 汎用 UI コンポーネント
│   ├── forms/            # フォームコンポーネント
│   └── layouts/          # レイアウトコンポーネント
├── hooks/                # カスタム React フック
├── lib/                  # ユーティリティと設定
│   ├── api/             # API クライアント
│   ├── utils/           # ヘルパー関数
│   └── constants/       # 定数
├── types/                # TypeScript 型定義
└── styles/              # グローバルスタイル

ファイル命名

components/Button.tsx          # コンポーネントは PascalCase
hooks/useAuth.ts              # フックは 'use' プレフィックス付き camelCase
lib/formatDate.ts             # ユーティリティは camelCase
types/market.types.ts         # 型定義は .types サフィックス付き camelCase

コメントとドキュメント

コメントを追加するタイミング

typescript
// 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

パブリックAPIのJSDoc

typescript
/**
 * 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
}

パフォーマンスベストプラクティス

メモ化

typescript
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)
}, [])

遅延読み込み

typescript
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>
  )
}

データベースクエリ

typescript
// 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('*')

テスト標準

テスト構造(AAAパターン)

typescript
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)
})

テストの命名

typescript
// 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', () => { })

コードスメルの検出

以下のアンチパターンに注意してください。

1. 長い関数

typescript
// 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)
}

2. 深いネスト

typescript
// 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

3. マジックナンバー

typescript
// 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)

覚えておいてください: コード品質は妥協できません。明確で保守可能なコードにより、迅速な開発と自信を持ったリファクタリングが可能になります。

Frequently asked questions

What does the Coding Standards AI skill do?

TypeScript、JavaScript、React、Node.js開発のための汎用コーディング標準、ベストプラクティス、パターン。

Why use Coding Standards on TypingMind?

Because you install it once and use it with any model. Coding Standards is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Coding Standards in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mturac/everything-openai-codex/tree/main/docs/ja-JP/skills/coding-standards. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coding Standards?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Coding Standards?

As many as you like. As long as a model supports skills, you can use Coding Standards with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Coding Standards AI skill free?

Yes. It is published on GitHub by mturac under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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