Why does this skill prioritize dual tracking?

Ad blockers can prevent up to 30% of client-side events. Dual tracking ensures that critical business data is sent from the server where it cannot be blocked.

Does this work with serverless functions?

Yes, the skill includes patterns for manually flushing server-side events, which is essential for ensuring data is sent before a serverless function terminates.

What is the mandatory expert workflow?

To ensure quality, the skill automatically spawns a Domain Expert to create a plan and a QA Critic to review it before any implementation code is written.

How does this skill prevent inconsistent data in PostHog?

It implements strict TypeScript event schemas, requiring every event name and property to be defined in a central type file before use.

PostHog Analytics Integration

Name: PostHog Analytics Integration
Author: nathanielcrowell12-spec

bynathanielcrowell12-spec

分析与监控

Implements robust, ad-blocker-proof PostHog analytics with dual client and server-side tracking for web applications.

关于

The PostHog skill for Claude Code streamlines the implementation of comprehensive product analytics by enforcing a high-integrity dual-tracking architecture. It ensures that critical business metrics—such as signups and payments—are captured server-side to prevent data loss from ad blockers, while maintaining rich client-side engagement data. By leveraging TypeScript event schemas and a mandatory expert-led planning workflow, this skill helps developers establish consistent, reliable data funnels that support complex user identification and retention analysis.

主要功能

Ad-blocker-proof dual tracking (Client + Server) architecture
Server-side event flushing patterns for serverless reliability
Pre-configured tracking for revenue-critical events and user identification
0 GitHub stars
TypeScript-enforced event schemas to ensure data consistency
Mandatory Domain Expert and QA Critic planning workflow

使用场景

Implementing high-integrity revenue and signup tracking that bypasses browser-side ad blockers.
Setting up real-time session recording and event monitoring for debugging user conversion funnels.
Standardizing analytics naming conventions and properties across a multi-platform application.

关于

主要功能

Ad-blocker-proof dual tracking (Client + Server) architecture
Server-side event flushing patterns for serverless reliability
Pre-configured tracking for revenue-critical events and user identification
0 GitHub stars
TypeScript-enforced event schemas to ensure data consistency
Mandatory Domain Expert and QA Critic planning workflow

使用场景

Implementing high-integrity revenue and signup tracking that bypasses browser-side ad blockers.
Setting up real-time session recording and event monitoring for debugging user conversion funnels.
Standardizing analytics naming conventions and properties across a multi-platform application.