🎯

experiment-design

🎯Skill

from astoreyai/ai_scientist

VibeIndex|
What it does

Designs methodologically rigorous experiments with clear hypotheses, appropriate controls, randomization, and pre-specified statistical analysis.

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Part of

astoreyai/ai_scientist(23 items)

experiment-design

Installation

Add MarketplaceAdd marketplace to Claude Code
/plugin marketplace add https://github.com/astoreyai/ai_scientist
Install PluginInstall plugin from marketplace
/plugin install research-assistant
PythonRun Python server
python tools/ai_check.py manuscript.tex
πŸ“– Extracted from docs: astoreyai/ai_scientist
2Installs
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AddedFeb 4, 2026

Skill Details

SKILL.md

"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."

Overview

# 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

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Version: 1.0.0

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