Meta Experiment & A/B Testing Framework FAQs

Question 1

How does the auto-rollback feature work?

Accepted Answer

The system monitors for performance regressions. If an experimental variant performs 10% worse than the control or fails to meet statistical significance within 14 days, the skill automatically restores the original configuration.

Question 2

What statistical methods are used for analysis?

Accepted Answer

The skill performs independent t-tests to calculate p-values (requiring p < 0.05 for success) and measures effect size using Cohen's d to ensure improvements are practically meaningful.

Question 3

Can I manually promote an experiment?

Accepted Answer

Yes, while the skill supports an --auto mode for autonomous management, you can use the 'promote' or 'rollback' arguments to manually intervene based on the provided statistical reports.

Question 4

Does this require external database tracking?

Accepted Answer

No, the framework maintains experiment states, backups, and metrics in a local JSON-based tracking system within the plugin directory for easy auditability.

Question 5

Is this skill compatible with custom Claude agents?

Accepted Answer

Absolutely. It is designed to wrap around any Claude command or agent-based workflow to measure the impact of changes to instructions, tools, or execution patterns.

Meta Experiment & A/B Testing Framework

소개

주요 기능

사용 사례

Meta Experiment & A/B Testing Framework

소개

주요 기능

사용 사례