A/B Test Statistical Analyzer
Performs statistical analysis for A/B testing experiments
npx skills add a5c-ai/babysitter --skill ab-test-statistical-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# A/B Test Statistical Analyzer ## Overview Performs statistical analysis for A/B testing experiments. This skill provides rigorous statistical methods to determine experiment validity and significance. ## Capabilities - Sample size calculation - Statistical significance testing - Bayesian analysis - Sequential testing - Multi-armed bandit analysis - Segment analysis - Novelty/primacy effect detection - SRM (Sample Ratio Mismatch) detection - Confidence interval calculation - Power analysis ## Input Schema ```json { "experimentData": { "control": "object", "variants": ["object"] }, "metrics": [{ "name": "string", "type": "conversion|continuous|ratio" }], "analysisType": "frequentist|bayesian|sequential" } ``` ## Output Schema ```json { "results": [{ "metric": "string", "controlValue": "number", "variantValues": ["number"], "pValue": "number", "confidenceInterval": "object", "significant": "boolean" }], "srmCheck": "object", "recommendation": "string" } ``` ## Target Processes - A/B Testing Pipeline - Feature Store Setup ## Usage Guidelines 1. Provide complete experiment data for control and variants 2. Define metrics with appropriate types 3. Select analysis methodology based on re
- Overview
- Capabilities
- Input Schema
- Output Schema
- Target Processes
- Usage Guidelines
- Best Practices
What does the A/B Test Statistical Analyzer skill do?
Performs statistical analysis for A/B testing experiments
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill ab-test-statistical-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
