ab-testing

Automate A/B test setup, execution, and analysis in UrhoX Lua games.

Updated May 16, 2026
One-click install
npx skills add https://github.com/haitao2016/--Skill --skill ab-testing-haitao2016
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ab-testing
Source: https://github.com/haitao2016/--Skill/tree/main/ab-testing
Command: npx skills add https://github.com/haitao2016/--Skill --skill ab-testing-haitao2016

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies A/B testing within UrhoX Lua games by automating experiment setup, group assignment, data tracking, analysis, and visualization, allowing for quick evaluation of feature impacts.

Core Features & Use Cases

  • Experiment Configuration: Setup experiments with multiple variants, assigning player groups and defining metrics.
  • Data Tracking: Collect and store metrics such as session time, scores, and user actions.
  • Statistical Analysis: Perform Z-test, Welch's t-test, and Cohen's d to evaluate results.
  • Dashboard Rendering: Visualize results using NanoVG for real-time monitoring.
  • Use Case: When implementing a new feature in a game, use this Skill to test its impact on user engagement and performance.

Quick Start

Run the ab-testing skill to initiate an A/B test for a new game feature. Example: use ab-testing to run experiment my_feature_test with variants control, experimental with weights 50, 50.

Frequently Asked Questions about ab-testing

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

FAQPage Schema
How do I run A/B tests for game features in UrhoX Lua?

A/B testing in UrhoX Lua is automated by configuring experiment variants, assigning player groups, collecting metrics, and performing statistical analysis to evaluate feature impact on user engagement.

What statistical analysis methods are used for evaluating game A/B test results?

Statistical analysis for game A/B testing includes Z-test, Welch's t-test, and Cohen's d to evaluate the significance and effect size of experimental feature impacts on collected metrics.

Can I visualize A/B testing metrics directly within my UrhoX game environment?

Yes, A/B testing metrics can be visualized within UrhoX using NanoVG to render real-time dashboards, allowing immediate monitoring of experiment data and player session tracking.

How do I set up player group assignment and experiment configuration for game A/B testing?

Player group assignment and experiment configuration are handled by defining multiple variants, assigning weights like 50/50, and tracking metrics such as session time and user actions automatically.

Do I need external libraries to perform statistical analysis and data tracking in UrhoX Lua?

Yes, UrhoX Lua requires external libraries like cjson for dependencies, alongside built-in APIs, to handle data tracking, JSON processing, and statistical analysis for A/B testing.

When should I use A/B testing in my game development workflow?

A/B testing should be used when implementing new game features to evaluate their impact on user engagement, session time, and performance before rolling changes out to all players.