randomization-generator

Solid

Skill for generating randomization schemes for experiments

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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100
Frontmatter 20%
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Issue Health 10%
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Description 5%
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Skill 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 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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