ab-testing-analyzer
CommunityAB test analysis and optimization, end-to-end.
Authorliangdabiao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill offers a complete AB testing framework—from experimental design and sample size calculation to statistical testing, segmentation, and visual reporting—so teams can quantify effects and drive data-informed decisions.
Core Features & Use Cases
- Complete AB Workflow: Design, sample size, randomization checks, conversion and retention analyses.
- Statistical Tests: T-tests, chi-squared tests, confidence intervals, effect sizes.
- Segmentation & Visualization: Customer segments, retention curves, and decision dashboards.
- Advanced Analytics: Bayesian AB testing, multivariate testing, and reporting templates.
Quick Start
Quick validation and analysis with example data:
- Load AB test data
- Compute conversion rates by group and perform significance tests
- Generate visualizations and a concise report
Dependency Matrix
Required Modules
pandasnumpyscipymatplotlibseabornstatsmodels
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ab-testing-analyzer Download link: https://github.com/liangdabiao/claude-data-analysis-ultra-main/archive/main.zip#ab-testing-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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