Randomization Generator Skill
SkillDev toolsSkill for generating randomization schemes for experiments
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Randomization Generator Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/randomization-generator/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
randomization-generator- Source
- github.com/a5c-ai/babysitter