rl

Manage reinforcement learning A/B tests via Drush CLI commands.

1|3|Updated Jun 7, 2021
One-click install
npx skills add https://github.com/dxpr/dxpr_cms --skill rl-dxpr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rl
Source: https://github.com/dxpr/dxpr_cms/tree/main/.claude/skills/rl
Command: npx skills add https://github.com/dxpr/dxpr_cms --skill rl-dxpr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of manually managing A/B tests by automating traffic distribution and performance analysis using Thompson Sampling, ensuring your content variants are optimized for maximum conversion.

Core Features & Use Cases

  • Automated Optimization: Uses Bayesian Thompson Sampling to balance exploration and exploitation of content variants.
  • Experiment Lifecycle Management: Provides a full suite of Drush commands to create, update, monitor, and analyze experiments directly from the CLI.
  • Use Case: If you are testing multiple hero banner variations, this Skill automatically shifts traffic toward the highest-performing variant based on real-time conversion data.

Quick Start

Use the rl skill to create a new experiment named hero_cta_test for your module and begin tracking performance.

Frequently Asked Questions about rl

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

FAQPage Schema
How do I automate A/B testing traffic distribution in Drupal?▼

You can manage A/B testing experiments through Drush CLI commands, which allow you to create, update, monitor, and analyze multi-armed bandit tests directly to optimize your content conversion rates.

How does Thompson Sampling work for conversion rate optimization?▼

Thompson Sampling automates traffic allocation by continuously evaluating variant performance and probabilistically shifting traffic toward content variants achieving the highest conversion rates.

Can I manage multi-armed bandit experiments using Drush CLI?▼

Yes, you can manage the full experiment lifecycle of multi-armed bandit tests using Drush CLI commands to create, update, monitor, and analyze A/B testing experiments for your Drupal site.

Does reinforcement learning A/B testing require direct database access?▼

Yes, this reinforcement learning A/B testing approach requires direct database access to custom RL tables and integration with the Drupal site-install workflow to store experiment data and track performance.

What is the best way to optimize hero banner variants in Drupal?▼

Using reinforcement learning-based A/B testing is the best way to optimize hero banner variants, automatically shifting traffic toward the highest-performing variation based on real-time conversion data.