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error-monitoring错误监控

Agent Skill

error-monitoring 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

306

周安装

13

GitHub Stars

3

下载量

107
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:error-monitoring(错误监控)
来源仓库:https://github.com/jmsktm/claude-settings
仓库路径:skills/error-monitoring
安装命令:
npx skills add https://github.com/jmsktm/claude-settings --skill error-monitoring
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jmsktm/claude-settings --skill error-monitoring

简介

用于记录任务执行中的错误、纠正和经验积累。

  • 适合持续沉淀问题、修正措施和最佳实践。error-monitoring 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需提供错误上下文、用户反馈和改进建议。
  • 结果可用于后续任务优化和能力迭代参考。
  • 安装前建议核对仓库维护状态及是否会触发日志写入操作。

SKILL.md

name
error-monitoring
description
Expert guide for error handling, logging, monitoring, and debugging. Use when implementing error boundaries, logging systems, or integrating monitoring tools like Sentry.

Error Monitoring & Logging Skill

Overview

This skill helps you implement robust error handling, logging, and monitoring in your Next.js application. From local development to production monitoring, this covers everything you need to catch and fix issues.

Error Boundaries (React)

Basic Error Boundary

// app/error.tsx
'use client'

import { useEffect } from 'react'

export default function Error({
  error,
  reset,
}: {
  error: Error & { digest?: string }
  reset: () => void
}) {
  useEffect(() => {
    // Log error to your monitoring service
    console.error('Error caught:', error)
  }, [error])

  return (
    <div className="flex flex-col items-center justify-center min-h-screen p-4">
      <h2 className="text-2xl font-bold mb-4">Something went wrong!</h2>
      <p className="text-gray-600 mb-4">{error.message}</p>
      <button
        onClick={reset}
        className="px-4 py-2 bg-blue-500 text-white rounded hover:bg-blue-600"
      >
        Try again
      </button>
    </div>
  )
}

Global Error Boundary

// app/global-error.tsx
'use client'

export default function GlobalError({
  error,
  reset,
}: {
  error: Error & { digest?: string }
  reset: () => void
}) {
  return (
    <html>
      <body>
        <h2>Application Error</h2>
        <p>{error.message}</p>
        <button onClick={reset}>Try again</button>
      </body>
    </html>
  )
}

Nested Error Boundaries

// app/dashboard/error.tsx
'use client'

export default function DashboardError({
  error,
  reset,
}: {
  error: Error
  reset: () => void
}) {
  return (
    <div className="p-4">
      <h2>Dashboard Error</h2>
      <p>{error.message}</p>
      <button onClick={reset}>Reload Dashboard</button>
    </div>
  )
}

// app/dashboard/settings/error.tsx - More specific
'use client'

export default function SettingsError({
  error,
  reset,
}: {
  error: Error
  reset: () => void
}) {
  return (
    <div className="p-4">
      <h2>Settings Error</h2>
      <p>Failed to load settings: {error.message}</p>
      <button onClick={reset}>Reload Settings</button>
    </div>
  )
}

Custom Error Classes

// lib/errors.ts
export class AppError extends Error {
  constructor(
    message: string,
    public code: string,
    public statusCode: number = 500,
    public isOperational: boolean = true
  ) {
    super(message)
    this.name = this.constructor.name
    Error.captureStackTrace(this, this.constructor)
  }
}

export class ValidationError extends AppError {
  constructor(message: string, public field?: string) {
    super(message, 'VALIDATION_ERROR', 400)
  }
}

export class AuthenticationError extends AppError {
  constructor(message = 'Authentication required') {
    super(message, 'AUTHENTICATION_ERROR', 401)
  }
}

export class AuthorizationError extends AppError {
  constructor(message = 'Insufficient permissions') {
    super(message, 'AUTHORIZATION_ERROR', 403)
  }
}

export class NotFoundError extends AppError {
  constructor(resource: string) {
    super(`${resource} not found`, 'NOT_FOUND', 404)
  }
}

export class DatabaseError extends AppError {
  constructor(message: string) {
    super(message, 'DATABASE_ERROR', 500, false)
  }
}

// Usage
throw new ValidationError('Invalid email format', 'email')
throw new NotFoundError('User')
throw new AuthenticationError()

Error Logger

// lib/logger.ts
type LogLevel = 'debug' | 'info' | 'warn' | 'error'

interface LogEntry {
  level: LogLevel
  message: string
  timestamp: string
  context?: Record<string, any>
  error?: Error
}

class Logger {
  private logs: LogEntry[] = []

  private log(level: LogLevel, message: string, context?: Record<string, any>, error?: Error) {
    const entry: LogEntry = {
      level,
      message,
      timestamp: new Date().toISOString(),
      context,
      error
    }

    this.logs.push(entry)

    // Log to console in development
    if (process.env.NODE_ENV === 'development') {
      const color = {
        debug: '\x1b[36m',
        info: '\x1b[32m',
        warn: '\x1b[33m',
        error: '\x1b[31m'
      }[level]

      console.log(
        `${color}[${level.toUpperCase()}]\x1b[0m ${message}`,
        context || '',
        error || ''
      )
    }

    // Send to monitoring service in production
    if (process.env.NODE_ENV === 'production' && level === 'error') {
      this.sendToMonitoring(entry)
    }
  }

  debug(message: string, context?: Record<string, any>) {
    this.log('debug', message, context)
  }

  info(message: string, context?: Record<string, any>) {
    this.log('info', message, context)
  }

  warn(message: string, context?: Record<string, any>) {
    this.log('warn', message, context)
  }

  error(message: string, error?: Error, context?: Record<string, any>) {
    this.log('error', message, context, error)
  }

  private async sendToMonitoring(entry: LogEntry) {
    // Send to Sentry, LogRocket, etc.
    try {
      await fetch('/api/logs', {
        method: 'POST',
        body: JSON.stringify(entry)
      })
    } catch (e) {
      // Fallback: log to console
      console.error('Failed to send log to monitoring:', e)
    }
  }
}

export const logger = new Logger()

// Usage
logger.info('User logged in', { userId: '123' })
logger.error('Payment failed', error, { orderId: '456' })

API Error Handling

// app/api/users/route.ts
import { NextRequest, NextResponse } from 'next/server'
import { AppError } from '@/lib/errors'
import { logger } from '@/lib/logger'

export async function GET(request: NextRequest) {
  try {
    const users = await db.users.findMany()
    return NextResponse.json({ users })
  } catch (error) {
    return handleApiError(error)
  }
}

function handleApiError(error: unknown): NextResponse {
  // Log error
  logger.error('API Error', error as Error)

  // Handle known errors
  if (error instanceof AppError) {
    return NextResponse.json(
      {
        error: error.message,
        code: error.code
      },
      { status: error.statusCode }
    )
  }

  // Handle Zod validation errors
  if (error instanceof z.ZodError) {
    return NextResponse.json(
      {
        error: 'Validation failed',
        code: 'VALIDATION_ERROR',
        issues: error.issues
      },
      { status: 400 }
    )
  }

  // Handle database errors
  if (error.code === 'P2002') {  // Prisma unique constraint
    return NextResponse.json(
      {
        error: 'Resource already exists',
        code: 'DUPLICATE_ERROR'
      },
      { status: 409 }
    )
  }

  // Handle unexpected errors
  return NextResponse.json(
    {
      error: 'Internal server error',
      code: 'INTERNAL_ERROR'
    },
    { status: 500 }
  )
}

Sentry Integration

Setup

// instrumentation.ts
export async function register() {
  if (process.env.NEXT_RUNTIME === 'nodejs') {
    await import('./sentry.server.config')
  }

  if (process.env.NEXT_RUNTIME === 'edge') {
    await import('./sentry.edge.config')
  }
}

// sentry.client.config.ts
import * as Sentry from '@sentry/nextjs'

Sentry.init({
  dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
  tracesSampleRate: 1.0,
  debug: false,
  replaysOnErrorSampleRate: 1.0,
  replaysSessionSampleRate: 0.1,

  integrations: [
    Sentry.replayIntegration({
      maskAllText: true,
      blockAllMedia: true,
    }),
  ],
})

// sentry.server.config.ts
import * as Sentry from '@sentry/nextjs'

Sentry.init({
  dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
  tracesSampleRate: 1.0,
  debug: false,
})

Using Sentry

import * as Sentry from '@sentry/nextjs'

// Capture exception
try {
  await riskyOperation()
} catch (error) {
  Sentry.captureException(error, {
    tags: {
      section: 'payment',
    },
    extra: {
      userId: user.id,
      orderId: order.id,
    },
  })
  throw error
}

// Capture message
Sentry.captureMessage('Something went wrong', {
  level: 'warning',
  tags: { feature: 'checkout' },
})

// Set user context
Sentry.setUser({
  id: user.id,
  email: user.email,
  username: user.name,
})

// Add breadcrumb
Sentry.addBreadcrumb({
  category: 'auth',
  message: 'User logged in',
  level: 'info',
})

Client-Side Error Tracking

// components/error-tracker.tsx
'use client'

import { useEffect } from 'react'
import * as Sentry from '@sentry/nextjs'

export function ErrorTracker() {
  useEffect(() => {
    // Catch unhandled errors
    window.addEventListener('error', (event) => {
      Sentry.captureException(event.error)
    })

    // Catch unhandled promise rejections
    window.addEventListener('unhandledrejection', (event) => {
      Sentry.captureException(event.reason)
    })
  }, [])

  return null
}

// app/layout.tsx
import { ErrorTracker } from '@/components/error-tracker'

export default function RootLayout({ children }) {
  return (
    <html>
      <body>
        <ErrorTracker />
        {children}
      </body>
    </html>
  )
}

Performance Monitoring

// lib/performance.ts
export class PerformanceMonitor {
  private marks: Map<string, number> = new Map()

  start(label: string) {
    this.marks.set(label, performance.now())
  }

  end(label: string) {
    const start = this.marks.get(label)
    if (!start) return

    const duration = performance.now() - start
    this.marks.delete(label)

    logger.info(`Performance: ${label}`, { duration: `${duration.toFixed(2)}ms` })

    // Send to monitoring if slow
    if (duration > 1000) {
      Sentry.captureMessage(`Slow operation: ${label}`, {
        level: 'warning',
        extra: { duration },
      })
    }

    return duration
  }
}

export const perfMonitor = new PerformanceMonitor()

// Usage
perfMonitor.start('fetchUsers')
const users = await db.users.findMany()
perfMonitor.end('fetchUsers')

Structured Logging

// lib/structured-logger.ts
type LogContext = {
  userId?: string
  requestId?: string
  ip?: string
  userAgent?: string
  [key: string]: any
}

class StructuredLogger {
  private context: LogContext = {}

  setContext(context: LogContext) {
    this.context = { ...this.context, ...context }
  }

  clearContext() {
    this.context = {}
  }

  log(level: string, message: string, data?: any) {
    const logEntry = {
      timestamp: new Date().toISOString(),
      level,
      message,
      ...this.context,
      ...data,
    }

    // In production, send to log aggregation service
    if (process.env.NODE_ENV === 'production') {
      this.sendToLogService(logEntry)
    } else {
      console.log(JSON.stringify(logEntry, null, 2))
    }
  }

  private async sendToLogService(entry: any) {
    // Send to DataDog, Logtail, etc.
  }

  info(message: string, data?: any) {
    this.log('info', message, data)
  }

  error(message: string, error?: Error, data?: any) {
    this.log('error', message, {
      ...data,
      error: {
        message: error?.message,
        stack: error?.stack,
        name: error?.name,
      },
    })
  }
}

export const structuredLogger = new StructuredLogger()

// Usage in API route
export async function POST(request: NextRequest) {
  const requestId = crypto.randomUUID()

  structuredLogger.setContext({
    requestId,
    ip: request.ip,
    userAgent: request.headers.get('user-agent'),
  })

  structuredLogger.info('Processing payment', { amount: 100 })

  try {
    await processPayment()
    structuredLogger.info('Payment successful')
  } catch (error) {
    structuredLogger.error('Payment failed', error)
    throw error
  } finally {
    structuredLogger.clearContext()
  }
}

Error Recovery Strategies

// lib/retry.ts
export async function retry<T>(
  fn: () => Promise<T>,
  options = { maxAttempts: 3, delay: 1000 }
): Promise<T> {
  let lastError: Error

  for (let attempt = 1; attempt <= options.maxAttempts; attempt++) {
    try {
      return await fn()
    } catch (error) {
      lastError = error as Error
      logger.warn(`Attempt ${attempt} failed`, { error: lastError.message })

      if (attempt < options.maxAttempts) {
        await new Promise((resolve) =>
          setTimeout(resolve, options.delay * attempt)
        )
      }
    }
  }

  throw lastError!
}

// Usage
const data = await retry(
  () => fetch('/api/data').then((r) => r.json()),
  { maxAttempts: 3, delay: 1000 }
)

Best Practices Checklist

  • [ ] Implement error boundaries at key levels
  • [ ] Use custom error classes for different types
  • [ ] Log errors with context (user, request ID, etc.)
  • [ ] Send errors to monitoring service (Sentry)
  • [ ] Handle expected errors gracefully
  • [ ] Show user-friendly error messages
  • [ ] Include retry logic for transient failures
  • [ ] Monitor performance bottlenecks
  • [ ] Set up alerts for critical errors
  • [ ] Track error rates and trends
  • [ ] Include request IDs for debugging
  • [ ] Sanitize sensitive data from logs
  • [ ] Test error scenarios

When to Use This Skill

Invoke this skill when:

  • Setting up error boundaries
  • Implementing error logging
  • Integrating Sentry or monitoring tools
  • Handling API errors
  • Creating custom error classes
  • Debugging production issues
  • Setting up performance monitoring
  • Implementing retry logic
  • Tracking user sessions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.89%
按下载量换算42

Claude

29.78%
按下载量换算32

Cursor

17.99%
按下载量换算19

Gemini CLI

8.85%
按下载量换算9

安全审计

暂无安全审计结果可展示。

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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