experiment-design

What problem does it solve?

This skill standardizes experimental design to ensure reproducibility.

Core Features & Use Cases

• Reproducibility setup: Seeds, environment recording, and versioning to ensure experiments can be replicated.
• Experimental controls: Train/test splits, cross-validation, and power analyses.
• Pre-registration & reporting: Templates to pre-register analysis plans and clearly label confirmatory vs exploratory findings.

Quick Start

• Load this skill to structure an experiment from goal to report.
• Provide your research objective, dataset context, and analysis plan; the skill will generate seeds, environment checks, data splits, power estimates, stopping rules, preregistration, and a reporting template.
• Run the templates and adapt them to your project for immediate reproducible results.