analyze-posthog-usage

Analyze PostHog product usage data with read-only HogQL queries.

54|7|Updated May 29, 2026
One-click install
npx skills add https://github.com/wibus-wee/cradle-app --skill analyze-posthog-usage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-posthog-usage
Source: https://github.com/wibus-wee/cradle-app/tree/main/.agents/skills/analyze-posthog-usage
Command: npx skills add https://github.com/wibus-wee/cradle-app --skill analyze-posthog-usage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for detailed PostHog analytics to extract actionable insights from product usage data, enabling informed decision-making based on user behavior.

Core Features & Use Cases

  • PostHog Query Execution: Execute HogQL queries against PostHog to analyze product usage and identify patterns.
  • Data Interpretation: Interpret the results to derive meaningful insights and hypotheses.
  • Reporting: Generate reports with key findings and recommendations for product improvements.
  • Use Case: Utilize this Skill to understand feature adoption rates, identify underperforming features, and detect potential usability issues within a product.

Quick Start

To begin, initiate a new PostHog analysis with the 'analyze-posthog-usage' Skill.

Frequently Asked Questions about analyze-posthog-usage

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

FAQPage Schema
How do I analyze product usage data in PostHog to uncover user behavior patterns?

You can analyze PostHog usage by executing read-only HogQL queries against the PostHog Query API to process product usage data, interpret the results, and generate reports with key findings and recommendations for product improvements.

What do I need to query PostHog product analytics using HogQL?

To run HogQL queries for PostHog product analytics, you need a valid PostHog Personal API Key and a project ID to authenticate with the PostHog Query API and extract user behavior insights.

Can I use PostHog analytics to measure feature adoption rates?

Yes, you can measure feature adoption rates by executing HogQL queries to analyze PostHog product usage data, which helps identify underperforming features and detect potential usability issues within your product.

Does the PostHog usage analysis Skill support write operations to modify data?

No, the PostHog usage analysis Skill only supports read-only HogQL queries to extract and interpret product usage data, ensuring your underlying PostHog analytics data remains unmodified during analysis.

What's the best way to interpret PostHog data for product improvement opportunities?

The best way to interpret PostHog data is to execute HogQL queries to analyze user behavior patterns and feature adoption rates, then generate reports with key findings and recommendations for product improvements.