engineering-gameplay-analytics

Track gameplay events, sessions, and retention metrics with PostgreSQL and Redis.

17|2|Updated Feb 25, 2026

Search Tags:#game development #A/B testing #event tracking #game analytics #retention tracking

Ready to run

npx skills add https://github.com/fcsouza/agent-skills --skill engineering-gameplay-analytics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: engineering-gameplay-analytics
Source: https://github.com/fcsouza/agent-skills/tree/main/plugins/game-dev/engineering/gameplay-analytics
Command: npx skills add https://github.com/fcsouza/agent-skills --skill engineering-gameplay-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires drizzle-orm, ioredis, crypto, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the challenge of effectively tracking player behavior, retention, and engagement in games, providing actionable insights for improving game design and player experience.

Core Features & Use Cases

Gameplay Analytics: Track player events and sessions, measure retention rates, and build engagement funnels.
Retention Metrics: Calculate D1/D7/D30 retention and cohort analysis.
Event Buffering: Buffer events in Redis before writing to PostgreSQL for high-throughput event handling.
Session Tracking: Track session lifecycle with start, heartbeat, and end events.
A/B Testing: Integrate A/B testing hooks for experimental game features.
Use Case: Incorporate this Skill into your game development pipeline to gain insights into player behavior and optimize your game for better retention and engagement.

Quick Start

Set up the analytics schema and initialize the analytics client in your game project. Use the track() function to log player events and trackSession() to track session lifecycle.

Frequently Asked Questions about engineering-gameplay-analytics

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

FAQPage Schema

How do I track player retention and calculate D1/D7/D30 cohorts for my game?▼

Track player retention by logging session lifecycle events and calculating D1/D7/D30 retention through cohort analysis. This framework provides actionable insights into player behavior by measuring engagement funnels and retention rates for game development.

What is the best way to handle high-throughput game analytics event tracking?▼

Handle high-throughput game analytics event tracking by buffering events in Redis before writing them to PostgreSQL. This architecture ensures efficient data storage and buffering for large volumes of gameplay events.

Do I need PostgreSQL and Redis to use gameplay analytics and retention tracking?▼

Yes, you need PostgreSQL and Redis to use this gameplay analytics framework. PostgreSQL handles data storage while Redis provides event buffering for high-throughput session lifecycle and player event tracking.

How do I set up A/B testing hooks for experimental game features?▼

Set up A/B testing hooks for experimental game features by integrating the analytics framework into your game development pipeline. Use the track() function to log player events and measure engagement across different feature variants.

Can I track session lifecycle events like start, heartbeat, and end in game analytics?▼

Yes, you can track session lifecycle events including start, heartbeat, and end using the trackSession() function. This session tracking capability measures player engagement and builds retention funnels for game development.