Master A/B Testing: Optimize AI-Driven Experiment Design

Master A/B Testing: Optimize AI-Driven Experiment Design

This AI agent skill supports developers and teams in designing, conducting, and analyzing controlled experiments. Specifically, it focuses on A/B testing to create empirically sound experiments characterized by a clear, falsifiable hypothesis and a pre-committed sample size.

What this skill does

• Assists in developing a falsifiable hypothesis to clearly define changes, their expected directional impact, and the primary metric being affected.
• Ensures selection of one primary metric to avoid inflated false positives due to multiple comparisons.
• Facilitates the identification of guardrail metrics to ensure crucial metrics are not negatively impacted by the experiment.
• Verifies that the randomization unit equals the analysis unit to prevent pseudoreplication.
• Determines the minimum detectable effect (MDE), representing the smallest decision-altering effect.
• Calculates a computed sample size and corresponding experiment duration, ensuring robust experiment planning.

Who it is for

• Developers and teams using AI coding agents such as Claude Code, Cursor, and Codex.
• Data scientists and analysts focused on empirical validation in their experiments.
• Product managers requiring well-supported data to drive decision-making.

Use cases

• Design an A/B test for a new feature on a platform, ensuring statistically valid results.
• Evaluate the impact of user interface changes by predefining appropriate metrics and sample sizes.
• Assess the effect of different marketing strategies using controlled randomization techniques.

Technical details

• Integrates with AI coding agents including Claude Code, Cursor, and Codex.
• Constructs experiments based on principles such as CUPED (Controlled Pre-Estimation) to improve test sensitivity.
• Facilitates the measurement of significance, confidence intervals (CI), and power for experiment analysis.

Source & Licence

This package is built on open-source work published by ericrisco (ericrisco/rsc-harness) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.