posthog-analytics

Analyze PostHog MCP data to surface product insights and recommendations.

5|2|Updated Jan 20, 2026

Search Tags:#analytics #dashboards #insights #product #posthog #funnels #experiments

Ready to run

npx skills add https://github.com/petekp/agent-skills --skill posthog-analytics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: posthog-analytics
Source: https://github.com/petekp/agent-skills/tree/main/skills/posthog-analytics
Command: npx skills add https://github.com/petekp/agent-skills --skill posthog-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostHog data is a goldmine for product teams but translating it into actionable decisions can be slow and opaque.

Core Features & Use Cases

Surface patterns and actionable insights from events and properties in PostHog MCP.
Build dashboards and funnel analyses to monitor activation, retention, and conversion.
Answer analytics questions and propose data-informed product decisions with evidence.

Quick Start

Ask it to analyze recent user journeys and surface top insights from PostHog MCP.

Frequently Asked Questions about posthog-analytics

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

FAQPage Schema

How do I turn PostHog analytics data into actionable product insights?▼

To turn PostHog analytics into actionable product insights, you query events and properties via PostHog MCP endpoints to surface user journeys, retention, and conversion patterns. The analysis generates trends, funnels, and dashboards to propose data-informed recommendations with evidence.

What is the best way to build dashboards for feature adoption using PostHog?▼

Building dashboards for feature adoption with PostHog involves fetching event data through MCP endpoints to track activation and user journeys. You can generate visual trend insights and funnel analyses to monitor how features are adopted and present recommendations based on that evidence.

How do I analyze user journeys and retention in PostHog?▼

Analyzing user journeys and retention in PostHog requires querying event and property data via MCP endpoints to identify behavioral patterns. The process surfaces top insights regarding user activation, conversion drop-offs, and retention rates to guide product decisions.

Can I run experiments and funnel analyses using PostHog MCP?▼

Yes, you can run experiments and funnel analyses using PostHog MCP by fetching event data to measure conversion and performance. The process generates funnel insights and trend data to evaluate experiment outcomes and propose data-informed product decisions.

Does this approach require manual querying to answer PostHog analytics questions?▼

No, answering PostHog analytics questions does not require manual querying because the process leverages PostHog MCP endpoints automatically. It fetches the relevant events and properties, generates insights, and presents evidence-based recommendations without manual SQL or query construction.

What kind of product analytics questions can I answer with PostHog MCP data?▼

With PostHog MCP data, you can answer product analytics questions regarding user journeys, retention, conversion, feature adoption, and performance. The analysis surfaces patterns from events and properties to build dashboards and propose data-informed product decisions.