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posthog-analytics

Instrument PostHog event tracking, feature flags, and dashboards across web and backend apps.

Updated Jun 19, 2026
Search Tags:#dashboards#event tracking#feature flags#a/b testing#posthog#product analytics#privacy compliance
One-click install
npx skills add https://github.com/lciacci/tessera --skill posthog-analytics-lciacci
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: posthog-analytics
Source: https://github.com/lciacci/tessera/tree/main/skills/posthog-analytics
Command: npx skills add https://github.com/lciacci/tessera --skill posthog-analytics-lciacci

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams measure product usage, understand user behavior, and make informed decisions without tracking irrelevant or sensitive data.

Core Features & Use Cases

  • Analytics Instrumentation: Implement PostHog event tracking, user identification, lifecycle metrics, and privacy-conscious property handling across Next.js, React, Python, and Node.js applications.
  • Feature Flags and Experiments: Configure client-side and server-side feature flags, payloads, and A/B test exposure tracking.
  • Dashboards and Validation: Design product-specific dashboards for SaaS, e-commerce, content, and AI applications, while testing and debugging captured events.
  • Use Case: Instrument a SaaS onboarding flow, track signup through activation, and organize the resulting funnel and retention metrics into PostHog dashboards.

Quick Start

Use the PostHog analytics skill to instrument signup, onboarding, feature usage, and conversion events in my application while excluding sensitive data.

Frequently Asked Questions about posthog-analytics

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

FAQPage Schema
How do I implement PostHog event tracking in a Next.js application?▼

PostHog event tracking in Next.js requires platform-appropriate SDK configuration to capture product usage, identify users, and handle lifecycle metrics while sanitizing properties to exclude sensitive data.

Can I run A/B testing and feature flags server-side with PostHog?▼

Yes, PostHog supports configuring both client-side and server-side feature flags, payloads, and A/B test exposure tracking to measure feature impact across web and backend applications.

How do I design PostHog dashboards for a SaaS onboarding funnel?▼

Designing PostHog dashboards for SaaS onboarding involves instrumenting signup through activation events, then organizing the captured funnel and retention metrics into validated reporting workflows.

Does PostHog analytics work for Python and Node.js backend applications?▼

PostHog analytics works across Python and Node.js backend applications by applying platform-appropriate SDK configuration for event tracking, user identification, and privacy-conscious property handling.

How do I handle privacy compliance and consent when tracking product analytics?▼

Privacy compliance in product analytics requires implementing consent handling and sanitized properties within your tracking workflows to ensure sensitive user data is excluded from event capture.

What is the best way to test and debug captured PostHog events?▼

The best way to test captured PostHog events is by applying validated reporting workflows that debug event naming consistency and verify property sanitization before building product dashboards.

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