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adding-error-tracking

Add Sentry error tracking, performance monitoring, and source maps to a web application.

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集成工具Sentry
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SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Add Error Tracking (Sentry)

Use this skill when the user asks to add error tracking, crash reporting, exception monitoring, or performance tracing.

Steps

  1. Detect the framework — check package.json, config files, and directory structure to determine the stack (Next.js, React, Node.js, Python/Django/Flask, etc.).

  2. Install the SDK

    • Next.js: npx @sentry/wizard@latest -i nextjs
    • React (Vite): npm install @sentry/react
    • Node.js: npm install @sentry/node
    • Python: pip install sentry-sdk
  3. Initialize Sentry

    • For Next.js, the wizard creates sentry.client.config.ts, sentry.server.config.ts, and sentry.edge.config.ts. Verify they exist and contain the DSN.

    • For React (Vite), init in main.tsx:

      import * as Sentry from "@sentry/react";
      
      Sentry.init({
        dsn: import.meta.env.VITE_SENTRY_DSN,
        integrations: [Sentry.browserTracingIntegration()],
        tracesSampleRate: 1.0,
      });
      
    • For Node.js, init at the very top of the entry file before any other imports.

  4. Add environment variables

    NEXT_PUBLIC_SENTRY_DSN=https://...@sentry.io/...
    SENTRY_AUTH_TOKEN=sntrys_...
    SENTRY_ORG=your-org
    SENTRY_PROJECT=your-project
    
  5. Add error boundary — wrap the app (or critical subtrees) with Sentry.ErrorBoundary and a fallback UI.

  6. Source maps — for production builds, configure the Sentry webpack/vite plugin to upload source maps. For Next.js, this is handled by withSentryConfig in next.config.js.

  7. Test the integration — add a temporary button that throws an error to verify events appear in the Sentry dashboard.

Notes

  • Set tracesSampleRate to a lower value (e.g. 0.1) in production to control costs.
  • Add sentry.properties and .sentryclirc to .gitignore.
  • Never commit SENTRY_AUTH_TOKEN.

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