Statistical test selector
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill statistical-test-selectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Skill for selecting appropriate statistical tests for analyses
SKILL.md
1.5 KB, as published. Nobody here has run it
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