How does this skill help with PRISMA compliance?

It systematically tracks every screening decision and records specific reasons for exclusion during the full-text review phase, providing the data needed to populate a PRISMA flow diagram.

Can I use this for both abstract and full-text screening?

Yes, the skill includes specialized logic for 'liberal' abstract screening (maximizing sensitivity) and 'strict' full-text review (ensuring specific eligibility).

Is this skill limited to medical research?

No. While PICOS is common in medicine, the skill can be used for any systematic literature review in social sciences, engineering, or data science where clear inclusion rules are required.

What is the PICOS framework used by this skill?

PICOS stands for Population, Intervention, Comparison, Outcome, and Study design. It is a standard framework used by researchers to define clear eligibility criteria for systematic reviews.

Inclusion Criteria for Research

Name: Inclusion Criteria for Research
Author: astoreyai

byastoreyai

•

Ciencia de Datos y ML

Applies systematic inclusion and exclusion criteria to automate literature screening and ensure PRISMA compliance.

The Inclusion Criteria skill streamlines the systematic review process by applying the PICOS framework (Population, Intervention, Comparison, Outcome, and Study design) to research papers. It assists researchers in both high-sensitivity abstract screening and rigorous full-text evaluations, documenting exclusion reasons automatically to maintain audit trails. This skill is essential for academics and data scientists conducting literature reviews who need to move from large search results to a high-quality final selection while adhering to international research standards like PRISMA.

Características Principales

012 GitHub stars

02Automated documentation of exclusion reasons for PRISMA flow diagrams

03High-sensitivity 'liberal inclusion' modes for initial discovery passes

04Standardized formatting for documenting screening decisions

05PICOS framework implementation for standardized eligibility assessment

06Dual-stage screening logic for title/abstract and full-text reviews

Casos de Uso

01Automating the screening of thousands of scientific abstracts for systematic reviews

02Standardizing study eligibility across a multi-member research team

03Generating detailed exclusion reports for methodology and PRISMA documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add astoreyai/ai_scientist inclusion-criteria

For use in Claude.ai and ChatGPT

Download Skill