experiment-design

Design rigorous experiments following best practices. Use when: (1) Planning research studies, (2) Grant proposal development, (3) Pre-registration, (4) Ensuring internal validity, (5) Meeting NIH rigor standards.

allowed_tools: Read, Write

$ Instalar

git clone https://github.com/majiayu000/claude-skill-registry /tmp/claude-skill-registry && cp -r /tmp/claude-skill-registry/skills/development/experiment-design ~/.claude/skills/claude-skill-registry

// tip: Run this command in your terminal to install the skill

SKILL.md

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name: experiment-design description: "Design rigorous experiments following best practices. Use when: (1) Planning research studies, (2) Grant proposal development, (3) Pre-registration, (4) Ensuring internal validity, (5) Meeting NIH rigor standards." allowed-tools: Read, Write version: 1.0.0

Experiment Design Skill

Purpose

Design methodologically rigorous experiments with appropriate controls and randomization.

Key Design Elements

1. Research Question: Clear, testable hypothesis 2. Study Design: RCT, quasi-experimental, observational 3. Sample Size: Power analysis justified 4. Randomization: Method specified 5. Blinding: Who is blinded 6. Controls: Appropriate comparison groups 7. Outcomes: Primary and secondary clearly defined 8. Analysis Plan: Pre-specified statistical approach

Common Designs

Between-Subjects: Different participants per condition Within-Subjects: Same participants, repeated measures Factorial: Multiple factors (2x2, 2x3) Crossover: Participants receive all treatments Stepped-Wedge: Phased rollout

NIH Rigor Checklist

Scientific premise established
Rigorous design (appropriate controls)
Biological variables considered (SABV)
Authentication of key resources
Transparent reporting planned

Version: 1.0.0