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Analytics Implementation

Analytics Implementation

User analytics for Google Antigravity IDE

AnalyticsTrackingPrivacyFrontend
by Antigravity AI
⭐0Stars
.antigravity
# Analytics Implementation for Google Antigravity

Master analytics tracking in Google Antigravity IDE.

## Analytics Provider

```typescript
"use client";

import { useEffect } from "react";
import { usePathname } from "next/navigation";

export function AnalyticsProvider({ children }: { children: ReactNode }) {
  const pathname = usePathname();

  useEffect(() => {
    if (window.analytics) {
      window.analytics.page(pathname);
    }
  }, [pathname]);

  return <>{children}</>;
}

export function useAnalytics() {
  const track = (event: string, properties?: Record<string, unknown>) => {
    if (window.analytics) {
      window.analytics.track(event, properties);
    }
  };

  const identify = (userId: string, traits?: Record<string, unknown>) => {
    if (window.analytics) {
      window.analytics.identify(userId, traits);
    }
  };

  return { track, identify };
}
```

## Event Tracking

```typescript
function SignupForm() {
  const { track } = useAnalytics();

  const handleSubmit = async (data: FormData) => {
    track("Signup Started", { method: "email" });
    
    try {
      await signup(data);
      track("Signup Completed");
    } catch (error) {
      track("Signup Failed", { error: error.message });
    }
  };

  return <form onSubmit={handleSubmit}>...</form>;
}
```

## Best Practices

1. **Consistent naming** - Use event naming conventions
2. **Respect privacy** - Honor DNT and consent

Google Antigravity IDE provides analytics scaffolding.

When to Use This Prompt

This Analytics prompt is ideal for developers working on:

  • Analytics applications requiring modern best practices and optimal performance
  • Projects that need production-ready Analytics code with proper error handling
  • Teams looking to standardize their analytics development workflow
  • Developers wanting to learn industry-standard Analytics patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their analytics implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the Analytics code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this Analytics prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For Analytics projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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