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.
Installation
SKILL.md
Purpose Design methodologically rigorous experiments with appropriate controls and randomization.
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
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
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. Source: astoreyai/ai_scientist.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/astoreyai/ai_scientist --skill experiment-design- Source
- astoreyai/ai_scientist
- Category
- >_Productivity
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is 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. Source: astoreyai/ai_scientist.
How do I install experiment-design?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/astoreyai/ai_scientist --skill experiment-design Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/astoreyai/ai_scientist
Details
- Category
- >_Productivity
- Source
- skills.sh
- First Seen
- 2026-02-01