pre-registration

Generates pre-registration documents for research transparency across study planning workflows.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/astoreyai/ai_scientist --skill pre-registration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pre-registration
Source: https://github.com/astoreyai/ai_scientist/tree/main/skills/pre-registration
Command: npx skills add https://github.com/astoreyai/ai_scientist --skill pre-registration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill assists in creating preregistration documents to promote transparency and reproducibility.

Core Features & Use Cases

  • Study Information: Title, authors, funding.
  • Design & Analysis Plan: Hypotheses, design, sampling, variables, and analysis plan.
  • Platforms: OSF, AsPredicted, ClinicalTrials.gov.

Quick Start

Draft a preregistration outline for a randomized trial on a digital health intervention.

Frequently Asked Questions about pre-registration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a preregistration document for my research study?▼

Preregistration documents organize your study plan—hypotheses, design, sampling, variables, and analysis—into structured templates before data collection. This Skill generates these documents compatible with OSF, AsPredicted, and ClinicalTrials.gov platforms to promote transparency and prevent HARKing.

What's the difference between preregistration and a standard research protocol?▼

Preregistration is a formal, time-stamped commitment of your study design and analysis plan deposited on a public registry before data collection begins. It differs from informal protocols by creating an auditable record that distinguishes planned analyses from post-hoc discoveries, strengthening reproducibility and open science compliance.

Can I use preregistration for grant submissions and reproducibility efforts?▼

Yes. Preregistration applies across disciplines for grant submissions, reproducibility initiatives, and open science compliance. This Skill structures Study Information, Hypotheses, Design, Sampling, Variables, and Analysis Plan into formats that funding agencies and journals recognize.

Do I need to know OSF, AsPredicted, or ClinicalTrials.gov to use preregistration?▼

No prior platform experience is required. This Skill generates preregistration artifacts in templates compatible with these platforms, handling the structural formatting so you focus on documenting your study design and analysis plan.

What should I include in my preregistration before data collection?▼

Include study title and authors, funding sources, research hypotheses, study design details, sampling strategy, variable definitions, and your complete analysis plan. This Skill prompts you through each section and organizes them into formats ready for OSF, AsPredicted, or ClinicalTrials.gov submission.

Why does preregistration help prevent bias in research outcomes?▼

Preregistration creates a public record of your planned analyses before results are known, distinguishing confirmatory hypothesis tests from exploratory findings. This prevents HARKing—hypothesizing after results are known—and strengthens evidence credibility by making researcher degrees of freedom transparent.