Create pre-registration documents for research transparency. Use when: (1) Before data collection, (2) Grant submissions, (3) Ensuring reproducibility, (4) Meeting open science standards, (5) Preventing HARKing.
View on GitHubastoreyai/ai_scientist
research-assistant
January 20, 2026
Select agents to install to:
npx add-skill https://github.com/astoreyai/ai_scientist/blob/main/skills/pre-registration/SKILL.md -a claude-code --skill pre-registrationInstallation paths:
.claude/skills/pre-registration/# Pre-Registration Skill ## Purpose Document study plans before data collection to ensure transparency and prevent questionable research practices. ## Pre-Registration Components **1. Study Information** - Title, authors, institutions - Funding sources **2. Hypotheses** - Primary hypothesis (pre-specified) - Secondary hypotheses - Exploratory questions **3. Design** - Study type (observational, experimental) - Blinding (who, how) - Randomization details **4. Sampling** - Sample size (with power analysis) - Recruitment strategy - Inclusion/exclusion criteria - Stopping rules **5. Variables** - Independent variables (manipulation) - Dependent variables (outcomes) - Control variables - Measurement instruments **6. Analysis Plan** - Primary statistical test - Handling missing data - Outlier treatment - Multiple comparison corrections **7. Timeline** - Start date - Data collection period - Analysis completion ## Platforms - **OSF (Open Science Framework)**: osf.io - **AsPredicted**: aspredicted.org - **ClinicalTrials.gov**: For clinical trials --- **Version:** 1.0.0