Babysitter randomization-generator
Skill for generating randomization schemes for experiments
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 "$T/library/specializations/domains/science/scientific-discovery/skills/randomization-generator" ~/.claude/skills/a5c-ai-babysitter-randomization-generator && rm -rf "$T"
manifest:
library/specializations/domains/science/scientific-discovery/skills/randomization-generator/SKILL.mdsource content
Randomization Generator Skill
Purpose
Generate randomization schemes for experimental designs including simple, stratified, and adaptive randomization methods.
Capabilities
- Generate random assignments
- Create stratified randomization
- Implement block randomization
- Support adaptive designs
- Ensure allocation concealment
- Document randomization
Usage Guidelines
- Define design requirements
- Select randomization method
- Configure parameters
- Generate assignments
- Verify balance
- Document scheme
Process Integration
Works within scientific discovery workflows for:
- Clinical trial design
- Laboratory experiments
- Field studies
- A/B testing
Configuration
- Randomization method
- Stratification factors
- Block sizes
- Seed management
Output Artifacts
- Randomization lists
- Allocation sequences
- Balance checks
- Scheme documentation