growth-advisor

Analyzes growth metrics from GA4, PostHog, MongoDB, and Sentry to generate recommendations.

Updated May 12, 2026

Search Tags:#data analysis #GA4 #recommendations #growth analytics #PostHog

Ready to run

npx skills add https://github.com/HillBombCreations/vivreal-skills --skill growth-advisor-hillbombcreations

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: growth-advisor
Source: https://github.com/HillBombCreations/vivreal-skills/tree/main/vivreal-growth-analytics/skills/growth-advisor
Command: npx skills add https://github.com/HillBombCreations/vivreal-skills --skill growth-advisor-hillbombcreations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-analytics, posthog, mongodb, sentry, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill unit addresses the challenge of interpreting and acting on growth analytics from multiple data sources, offering insights and recommendations to improve business performance.

Core Features & Use Cases

Data Aggregation: Combines analytics from GA4, PostHog, MongoDB, and Sentry.
Cross-Reference Analysis: Cross-references data sources to identify trends and anomalies.
Actionable Recommendations: Provides specific growth recommendations based on metrics and trends.
Use Case: For instance, it can help identify the cause of a drop in signups or compare organic vs. paid acquisition quality.

Quick Start

Generate a growth report for the last 30 days using the growth-advisor skill.

Frequently Asked Questions about growth-advisor

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

FAQPage Schema

How do I analyze growth analytics from multiple data sources like GA4 and PostHog?▼

You can aggregate growth analytics from GA4 and PostHog by cross-referencing metrics across sources to identify trends and generating actionable recommendations for business performance.

Can I compare organic vs paid acquisition quality using GA4 and MongoDB data?▼

Comparing organic vs paid acquisition quality is possible by cross-referencing GA4 acquisition data with MongoDB metrics to evaluate user behavior and conversion trends.

Do I need access to Sentry and MongoDB to generate actionable growth recommendations?▼

Access to Sentry and MongoDB is required because the system aggregates and cross-references growth metrics from these sources alongside GA4 and PostHog to produce actionable insights.

What's the best way to identify the cause of a drop in signups using growth analytics?▼

Identifying a drop in signups is best handled by cross-referencing GA4 traffic data with PostHog product analytics and Sentry error logs to pinpoint anomalies and generate corrective recommendations.

How does cross-referencing data from PostHog and Sentry improve trend analysis?▼

Cross-referencing PostHog and Sentry data improves trend analysis by combining product engagement metrics with application error tracking to identify anomalies impacting business performance.

What are the limitations of multi-source data aggregation for growth metrics?▼

Limitations of multi-source data aggregation include the dependency on having active access to GA4, PostHog, MongoDB, and Sentry, meaning data retrieval fails if any source is unavailable.