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analytics

Define event taxonomies and tracking patterns for Go, Python, and React apps.

3|Updated Mar 22, 2026
Search Tags:#analytics#events#tracking#funnels#ab_testing
One-click install
npx skills add https://github.com/vndee/engineering-skills --skill analytics-vndee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/vndee/engineering-skills/tree/main/.claude/skills/analytics
Command: npx skills add https://github.com/vndee/engineering-skills --skill analytics-vndee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Instrument product analytics to measure user behavior and product impact.

Core Features & Use Cases

  • Standardized event taxonomy and naming conventions for frontend and backend tracking (Go, Python, React).
  • Implementation templates and examples for React frontend and Go/Python backends to instrument events, funnels, and A/B tests.
  • Best-practice guidelines for metrics, funnels, and data governance to inform product decisions.

Quick Start

Define your core events and integrate a lightweight tracker in your stack to begin sending key events like page views and signups.

Frequently Asked Questions about analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I instrument product analytics for a React frontend and Go backend?▼

Instrument product analytics by defining a standardized event taxonomy and using implementation templates to track user behavior in React frontends and Go backends. This provides consistent event tracking across your stack.

What's the best way to define event taxonomy and naming conventions for tracking?▼

Define event taxonomy by establishing standardized naming conventions for frontend and backend tracking. This ensures consistent data governance and accurate measurement of product impact across web apps.

How do I set up funnels and A/B testing during feature development?▼

Set up funnels and A/B testing by integrating a lightweight tracker in your stack to send key events. Apply implementation patterns to measure user behavior and inform product optimization decisions.

Can I use this event tracking approach for both Python and Go web apps?▼

Yes, event tracking applies to both Python and Go backend web apps. Implementation templates and examples are provided for both languages to instrument events, funnels, and A/B tests effectively.

How does this analytics instrumentation handle privacy and avoid collecting PII?▼

Analytics instrumentation ensures privacy by defining an event taxonomy and implementation patterns that explicitly avoid collecting PII. This maintains data governance best practices while tracking user behavior.

When do I need to implement product analytics tracking in my application?▼

Implement product analytics tracking during feature development and product optimization to measure user behavior and product impact. It is needed when you want to inform product decisions using standardized event data.

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