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data-analytics

Analyze product analytics data with HogQL queries across PostHog surfaces.

Updated Aug 27, 2026
Search Tags:#dashboards#data-analytics#retention#notebooks#posthog#funnels#hogql
One-click install
npx skills add https://github.com/Cianai/ClinearHub --skill data-analytics-cianai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analytics
Source: https://github.com/Cianai/ClinearHub/tree/main/skills/data-analytics
Command: npx skills add https://github.com/Cianai/ClinearHub --skill data-analytics-cianai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

PostHog-based product analytics, monitoring, and data warehouse access for Claudian apps, enabling teams to understand user behavior, measure adoption, and monitor performance across surfaces and apps.

Core Features & Use Cases

  • PostHog Surfaces: OAuth Connector, Plugin, and Notebooks for quick analytics, deeper queries, and collaborative analysis.
  • HogQL & Data Warehouse: SQL-like queries over events, persons, and external data sources to generate funnels, retention, and cross-source insights.
  • Cross-App Analytics: Notebooks and dashboards to compare Alteri and SoilWorx metrics, plus alerting and monitoring integration with PostHog and Sentry.

Quick Start

Run a quick funnel analysis for Alteri over the last 30 days using HogQL in PostHog.

Frequently Asked Questions about data-analytics

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

FAQPage Schema
How do I run product analytics and build retention dashboards using PostHog?▼

Product analytics dashboards in PostHog are built by applying HogQL queries to event tracking data, enabling you to visualize user retention, funnels, and adoption metrics across your applications.

Can I query external data sources alongside PostHog event data using HogQL?▼

Yes, HogQL queries support data warehouse integration, allowing you to perform SQL-like queries that join PostHog events and persons data with external data sources to generate cross-source insights.

What is the best way to analyze user behavior and compare metrics across multiple apps?▼

Analyzing user behavior across multiple apps is achieved using PostHog Notebooks and dashboards, which allow you to compare metrics like adoption and performance for different use cases within a single collaborative view.

Does this approach require a specific PostHog setup to track funnels and user adoption?▼

Tracking funnels and user adoption requires PostHog surfaces like the OAuth Connector and Plugin, which facilitate event tracking, deeper queries, and monitoring integration to deliver actionable analytics.

How do I monitor application performance and alerting using PostHog and Sentry?▼

Application performance monitoring and alerting are configured by integrating PostHog analytics with Sentry, enabling teams to track cross-app metrics, monitor events, and receive alerts for performance issues.

What are the limitations of using HogQL for cross-source data warehouse queries?▼

HogQL provides SQL-like querying for events and persons but may be constrained by the specific data warehouse integration setup, meaning complex cross-source queries depend on how external data sources are configured and connected.

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