randomization-generator
Skill for generating randomization schemes for experiments
Profile →npx skills add a5c-ai/babysitter --skill randomization-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Purpose
- Capabilities
- Usage Guidelines
- Process Integration
- Configuration
- Output Artifacts
What does the randomization-generator skill do?
Skill for generating randomization schemes for experiments
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill randomization-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.