Source profileQuality 75/100

affaan-m/ECC/docs/zh-CN/skills/backend-patterns/SKILL.md

backend-patterns

Use it for engineering tasks; the detail page covers purpose, installation, and practical steps.

Source repository stars
234,327
Declared platforms
0
Static risk flags
1
Last source update
2026-07-27
Source checked
2026-07-28

Decision brief

What it does—and where it fits

用于可扩展服务器端应用程序的后端架构模式和最佳实践。

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/backend-patterns"
    Safe inspection promptEditorial

    Inspect the Agent Skill "backend-patterns" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/docs/zh-CN/skills/backend-patterns/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      何时激活

      设计 REST 或 GraphQL API 端点时 实现仓储层、服务层或控制器层时 优化数据库查询(N+1问题、索引、连接池)时 添加缓存(Redis、内存缓存、HTTP 缓存头)时 设置后台作业或异步处理时 为 API 构建错误处理和验证结构时 构建中间件(认证、日志记录、速率限制)时

      设计 REST 或 GraphQL API 端点时实现仓储层、服务层或控制器层时优化数据库查询(N+1问题、索引、连接池)时
    2. 02

      API 设计模式

      Review the “API 设计模式” section in the pinned source before continuing.

      Review and apply the “API 设计模式” source section.
    3. 03

      RESTful API 结构

      Review the “RESTful API 结构” section in the pinned source before continuing.

      Review and apply the “RESTful API 结构” source section.
    4. 04

      仓储模式

      Review the “仓储模式” section in the pinned source before continuing.

      Review and apply the “仓储模式” source section.
    5. 05

      服务层模式

      Review the “服务层模式” section in the pinned source before continuing.

      Review and apply the “服务层模式” source section.

    Permission review

    Static risk signals and limitations

    Network access

    medium · line 439

    The documentation includes network, browsing, or remote request actions.

    const requests = this.requests.get(identifier) || []

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score75/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars234,327SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    affaan-m/ECC
    Skill path
    docs/zh-CN/skills/backend-patterns/SKILL.md
    Commit
    4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    后端开发模式

    用于可扩展服务器端应用程序的后端架构模式和最佳实践。

    何时激活

    • 设计 REST 或 GraphQL API 端点时
    • 实现仓储层、服务层或控制器层时
    • 优化数据库查询(N+1问题、索引、连接池)时
    • 添加缓存(Redis、内存缓存、HTTP 缓存头)时
    • 设置后台作业或异步处理时
    • 为 API 构建错误处理和验证结构时
    • 构建中间件(认证、日志记录、速率限制)时

    API 设计模式

    RESTful API 结构

    // PASS: Resource-based URLs
    GET    /api/markets                 # List resources
    GET    /api/markets/:id             # Get single resource
    POST   /api/markets                 # Create resource
    PUT    /api/markets/:id             # Replace resource
    PATCH  /api/markets/:id             # Update resource
    DELETE /api/markets/:id             # Delete resource
    
    // PASS: Query parameters for filtering, sorting, pagination
    GET /api/markets?status=active&sort=volume&limit=20&offset=0
    

    仓储模式

    // Abstract data access logic
    interface MarketRepository {
      findAll(filters?: MarketFilters): Promise<Market[]>
      findById(id: string): Promise<Market | null>
      create(data: CreateMarketDto): Promise<Market>
      update(id: string, data: UpdateMarketDto): Promise<Market>
      delete(id: string): Promise<void>
    }
    
    class SupabaseMarketRepository implements MarketRepository {
      async findAll(filters?: MarketFilters): Promise<Market[]> {
        let query = supabase.from('markets').select('*')
    
        if (filters?.status) {
          query = query.eq('status', filters.status)
        }
    
        if (filters?.limit) {
          query = query.limit(filters.limit)
        }
    
        const { data, error } = await query
    
        if (error) throw new Error(error.message)
        return data
      }
    
      // Other methods...
    }
    

    服务层模式

    // Business logic separated from data access
    class MarketService {
      constructor(private marketRepo: MarketRepository) {}
    
      async searchMarkets(query: string, limit: number = 10): Promise<Market[]> {
        // Business logic
        const embedding = await generateEmbedding(query)
        const results = await this.vectorSearch(embedding, limit)
    
        // Fetch full data
        const markets = await this.marketRepo.findByIds(results.map(r => r.id))
    
        // Sort by similarity
        return markets.sort((a, b) => {
          const scoreA = results.find(r => r.id === a.id)?.score || 0
          const scoreB = results.find(r => r.id === b.id)?.score || 0
          return scoreA - scoreB
        })
      }
    
      private async vectorSearch(embedding: number[], limit: number) {
        // Vector search implementation
      }
    }
    

    中间件模式

    // Request/response processing pipeline
    export function withAuth(handler: NextApiHandler): NextApiHandler {
      return async (req, res) => {
        const token = req.headers.authorization?.replace('Bearer ', '')
    
        if (!token) {
          return res.status(401).json({ error: 'Unauthorized' })
        }
    
        try {
          const user = await verifyToken(token)
          req.user = user
          return handler(req, res)
        } catch (error) {
          return res.status(401).json({ error: 'Invalid token' })
        }
      }
    }
    
    // Usage
    export default withAuth(async (req, res) => {
      // Handler has access to req.user
    })
    

    数据库模式

    查询优化

    // PASS: GOOD: Select only needed columns
    const { data } = await supabase
      .from('markets')
      .select('id, name, status, volume')
      .eq('status', 'active')
      .order('volume', { ascending: false })
      .limit(10)
    
    // FAIL: BAD: Select everything
    const { data } = await supabase
      .from('markets')
      .select('*')
    

    N+1 查询预防

    // FAIL: BAD: N+1 query problem
    const markets = await getMarkets()
    for (const market of markets) {
      market.creator = await getUser(market.creator_id)  // N queries
    }
    
    // PASS: GOOD: Batch fetch
    const markets = await getMarkets()
    const creatorIds = markets.map(m => m.creator_id)
    const creators = await getUsers(creatorIds)  // 1 query
    const creatorMap = new Map(creators.map(c => [c.id, c]))
    
    markets.forEach(market => {
      market.creator = creatorMap.get(market.creator_id)
    })
    

    事务模式

    async function createMarketWithPosition(
      marketData: CreateMarketDto,
      positionData: CreatePositionDto
    ) {
      // Use Supabase transaction
      const { data, error } = await supabase.rpc('create_market_with_position', {
        market_data: marketData,
        position_data: positionData
      })
    
      if (error) throw new Error('Transaction failed')
      return data
    }
    
    // SQL function in Supabase
    CREATE OR REPLACE FUNCTION create_market_with_position(
      market_data jsonb,
      position_data jsonb
    )
    RETURNS jsonb
    LANGUAGE plpgsql
    AS $
    BEGIN
      -- Start transaction automatically
      INSERT INTO markets VALUES (market_data);
      INSERT INTO positions VALUES (position_data);
      RETURN jsonb_build_object('success', true);
    EXCEPTION
      WHEN OTHERS THEN
        -- Rollback happens automatically
        RETURN jsonb_build_object('success', false, 'error', SQLERRM);
    END;
    $;
    

    缓存策略

    Redis 缓存层

    class CachedMarketRepository implements MarketRepository {
      constructor(
        private baseRepo: MarketRepository,
        private redis: RedisClient
      ) {}
    
      async findById(id: string): Promise<Market | null> {
        // Check cache first
        const cached = await this.redis.get(`market:${id}`)
    
        if (cached) {
          return JSON.parse(cached)
        }
    
        // Cache miss - fetch from database
        const market = await this.baseRepo.findById(id)
    
        if (market) {
          // Cache for 5 minutes
          await this.redis.setex(`market:${id}`, 300, JSON.stringify(market))
        }
    
        return market
      }
    
      async invalidateCache(id: string): Promise<void> {
        await this.redis.del(`market:${id}`)
      }
    }
    

    旁路缓存模式

    async function getMarketWithCache(id: string): Promise<Market> {
      const cacheKey = `market:${id}`
    
      // Try cache
      const cached = await redis.get(cacheKey)
      if (cached) return JSON.parse(cached)
    
      // Cache miss - fetch from DB
      const market = await db.markets.findUnique({ where: { id } })
    
      if (!market) throw new Error('Market not found')
    
      // Update cache
      await redis.setex(cacheKey, 300, JSON.stringify(market))
    
      return market
    }
    

    错误处理模式

    集中式错误处理程序

    class ApiError extends Error {
      constructor(
        public statusCode: number,
        public message: string,
        public isOperational = true
      ) {
        super(message)
        Object.setPrototypeOf(this, ApiError.prototype)
      }
    }
    
    export function errorHandler(error: unknown, req: Request): Response {
      if (error instanceof ApiError) {
        return NextResponse.json({
          success: false,
          error: error.message
        }, { status: error.statusCode })
      }
    
      if (error instanceof z.ZodError) {
        return NextResponse.json({
          success: false,
          error: 'Validation failed',
          details: error.errors
        }, { status: 400 })
      }
    
      // Log unexpected errors
      console.error('Unexpected error:', error)
    
      return NextResponse.json({
        success: false,
        error: 'Internal server error'
      }, { status: 500 })
    }
    
    // Usage
    export async function GET(request: Request) {
      try {
        const data = await fetchData()
        return NextResponse.json({ success: true, data })
      } catch (error) {
        return errorHandler(error, request)
      }
    }
    

    指数退避重试

    async function fetchWithRetry<T>(
      fn: () => Promise<T>,
      maxRetries = 3
    ): Promise<T> {
      let lastError: Error
    
      for (let i = 0; i < maxRetries; i++) {
        try {
          return await fn()
        } catch (error) {
          lastError = error as Error
    
          if (i < maxRetries - 1) {
            // Exponential backoff: 1s, 2s, 4s
            const delay = Math.pow(2, i) * 1000
            await new Promise(resolve => setTimeout(resolve, delay))
          }
        }
      }
    
      throw lastError!
    }
    
    // Usage
    const data = await fetchWithRetry(() => fetchFromAPI())
    

    认证与授权

    JWT 令牌验证

    import jwt from 'jsonwebtoken'
    
    interface JWTPayload {
      userId: string
      email: string
      role: 'admin' | 'user'
    }
    
    export function verifyToken(token: string): JWTPayload {
      try {
        const payload = jwt.verify(token, process.env.JWT_SECRET!) as JWTPayload
        return payload
      } catch (error) {
        throw new ApiError(401, 'Invalid token')
      }
    }
    
    export async function requireAuth(request: Request) {
      const token = request.headers.get('authorization')?.replace('Bearer ', '')
    
      if (!token) {
        throw new ApiError(401, 'Missing authorization token')
      }
    
      return verifyToken(token)
    }
    
    // Usage in API route
    export async function GET(request: Request) {
      const user = await requireAuth(request)
    
      const data = await getDataForUser(user.userId)
    
      return NextResponse.json({ success: true, data })
    }
    

    基于角色的访问控制

    type Permission = 'read' | 'write' | 'delete' | 'admin'
    
    interface User {
      id: string
      role: 'admin' | 'moderator' | 'user'
    }
    
    const rolePermissions: Record<User['role'], Permission[]> = {
      admin: ['read', 'write', 'delete', 'admin'],
      moderator: ['read', 'write', 'delete'],
      user: ['read', 'write']
    }
    
    export function hasPermission(user: User, permission: Permission): boolean {
      return rolePermissions[user.role].includes(permission)
    }
    
    export function requirePermission(permission: Permission) {
      return (handler: (request: Request, user: User) => Promise<Response>) => {
        return async (request: Request) => {
          const user = await requireAuth(request)
    
          if (!hasPermission(user, permission)) {
            throw new ApiError(403, 'Insufficient permissions')
          }
    
          return handler(request, user)
        }
      }
    }
    
    // Usage - HOF wraps the handler
    export const DELETE = requirePermission('delete')(
      async (request: Request, user: User) => {
        // Handler receives authenticated user with verified permission
        return new Response('Deleted', { status: 200 })
      }
    )
    

    速率限制

    简单的内存速率限制器

    class RateLimiter {
      private requests = new Map<string, number[]>()
    
      async checkLimit(
        identifier: string,
        maxRequests: number,
        windowMs: number
      ): Promise<boolean> {
        const now = Date.now()
        const requests = this.requests.get(identifier) || []
    
        // Remove old requests outside window
        const recentRequests = requests.filter(time => now - time < windowMs)
    
        if (recentRequests.length >= maxRequests) {
          return false  // Rate limit exceeded
        }
    
        // Add current request
        recentRequests.push(now)
        this.requests.set(identifier, recentRequests)
    
        return true
      }
    }
    
    const limiter = new RateLimiter()
    
    export async function GET(request: Request) {
      const ip = request.headers.get('x-forwarded-for') || 'unknown'
    
      const allowed = await limiter.checkLimit(ip, 100, 60000)  // 100 req/min
    
      if (!allowed) {
        return NextResponse.json({
          error: 'Rate limit exceeded'
        }, { status: 429 })
      }
    
      // Continue with request
    }
    

    后台作业与队列

    简单队列模式

    class JobQueue<T> {
      private queue: T[] = []
      private processing = false
    
      async add(job: T): Promise<void> {
        this.queue.push(job)
    
        if (!this.processing) {
          this.process()
        }
      }
    
      private async process(): Promise<void> {
        this.processing = true
    
        while (this.queue.length > 0) {
          const job = this.queue.shift()!
    
          try {
            await this.execute(job)
          } catch (error) {
            console.error('Job failed:', error)
          }
        }
    
        this.processing = false
      }
    
      private async execute(job: T): Promise<void> {
        // Job execution logic
      }
    }
    
    // Usage for indexing markets
    interface IndexJob {
      marketId: string
    }
    
    const indexQueue = new JobQueue<IndexJob>()
    
    export async function POST(request: Request) {
      const { marketId } = await request.json()
    
      // Add to queue instead of blocking
      await indexQueue.add({ marketId })
    
      return NextResponse.json({ success: true, message: 'Job queued' })
    }
    

    日志记录与监控

    结构化日志记录

    interface LogContext {
      userId?: string
      requestId?: string
      method?: string
      path?: string
      [key: string]: unknown
    }
    
    class Logger {
      log(level: 'info' | 'warn' | 'error', message: string, context?: LogContext) {
        const entry = {
          timestamp: new Date().toISOString(),
          level,
          message,
          ...context
        }
    
        console.log(JSON.stringify(entry))
      }
    
      info(message: string, context?: LogContext) {
        this.log('info', message, context)
      }
    
      warn(message: string, context?: LogContext) {
        this.log('warn', message, context)
      }
    
      error(message: string, error: Error, context?: LogContext) {
        this.log('error', message, {
          ...context,
          error: error.message,
          stack: error.stack
        })
      }
    }
    
    const logger = new Logger()
    
    // Usage
    export async function GET(request: Request) {
      const requestId = crypto.randomUUID()
    
      logger.info('Fetching markets', {
        requestId,
        method: 'GET',
        path: '/api/markets'
      })
    
      try {
        const markets = await fetchMarkets()
        return NextResponse.json({ success: true, data: markets })
      } catch (error) {
        logger.error('Failed to fetch markets', error as Error, { requestId })
        return NextResponse.json({ error: 'Internal error' }, { status: 500 })
      }
    }
    

    记住:后端模式支持可扩展、可维护的服务器端应用程序。选择适合你复杂程度的模式。

    Alternatives

    Compare before choosing