statistical-test-selector
Skill for selecting appropriate statistical tests for analyses
npx skills add a5c-ai/babysitter --skill statistical-test-selector --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.
# Statistical Test Selector Skill ## Purpose Select appropriate statistical tests based on data characteristics, research questions, and study design assumptions. ## Capabilities - Assess data characteristics - Match tests to questions - Check assumptions - Recommend alternatives - Justify selections - Document rationale ## Usage Guidelines 1. Describe research question 2. Characterize data 3. Check assumptions 4. Identify candidate tests 5. Select optimal test 6. Document rationale ## Process Integration Works within scientific discovery workflows for: - Analysis planning - Methods selection - Assumption checking - Statistical consulting ## Configuration - Test database - Assumption checks - Decision trees - Output formatting ## Output Artifacts - Test recommendations - Assumption reports - Selection rationale - Alternative suggestions
- Purpose
- Capabilities
- Usage Guidelines
- Process Integration
- Configuration
- Output Artifacts
What does the statistical-test-selector skill do?
Skill for selecting appropriate statistical tests for analyses
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill statistical-test-selector --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.