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randomization-generator

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Skill for generating randomization schemes for experiments

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How to use this skill

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/scientific-discovery/skills/randomization-generator/SKILL.md

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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

  1. Define design requirements
  2. Select randomization method
  3. Configure parameters
  4. Generate assignments
  5. Verify balance
  6. 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