Babysitter statistical-test-selector
Skill for selecting appropriate statistical tests for analyses
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/scientific-discovery/skills/statistical-test-selector" ~/.claude/skills/a5c-ai-babysitter-statistical-test-selector && rm -rf "$T"
manifest:
library/specializations/domains/science/scientific-discovery/skills/statistical-test-selector/SKILL.mdsource content
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
- Describe research question
- Characterize data
- Check assumptions
- Identify candidate tests
- Select optimal test
- 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