ab-test-analysis
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Install
npx skills add phuryn/pm-skills@ab-test-analysisRuns in your terminal. Adds the skill globally for Claude Code, Cursor, Codex and others; add -g -y to skip prompts.
What it does
A/B Test Analysis Evaluate A/B test results with statistical rigor and translate findings into clear product decisions. Context You are analyzing A/B test results for $ARGUMENTS. If the user provides data files (CSV, Excel, or analytics exports), read and analyze them directly. Generate Python scripts for statistical calculations when needed. Instructions 1. Understand the experiment: - What was the hypothesis? - What was changed (the variant)? - What is the primary metric? Any guardrail metrics? - How long did the test run? - What is the traffic split? 2. Validate the test setup: - Sample…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
View source on GitHubBefore you install
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Categories
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