inclusion-criteria

Apply inclusion and exclusion criteria to screen studies for systematic reviews.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/astoreyai/ai_scientist --skill inclusion-criteria
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inclusion-criteria
Source: https://github.com/astoreyai/ai_scientist/tree/main/skills/inclusion-criteria
Command: npx skills add https://github.com/astoreyai/ai_scientist --skill inclusion-criteria

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured approach to applying inclusion and exclusion criteria during literature screening, ensuring transparent and reproducible study selection.

Core Features & Use Cases

  • PICOS Framework: Systematic population, intervention, comparison, outcome, and study design criteria.
  • Screening Protocols: Clear guidance for title/abstract and full-text decisions.
  • PRISMA Alignment: Supports documentation of exclusion reasons for flow diagrams.

Quick Start

Apply English-language, adult-population criteria to screening abstracts for a depression-focused literature search.

Frequently Asked Questions about inclusion-criteria

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

FAQPage Schema
How do I apply inclusion and exclusion criteria consistently during systematic review screening?▼

Inclusion and exclusion criteria establish study eligibility rules applied across title/abstract and full-text screening phases. Use the PICOS framework—population, intervention, comparison, outcome, study design—to define criteria upfront, then document each exclusion reason systematically to ensure transparent, reproducible screening aligned with PRISMA standards.

What is the PICOS framework and how does it structure screening decisions?▼

PICOS is a structured approach defining Population, Intervention, Comparison, Outcomes, and Study design criteria for systematic reviews. It ensures eligibility decisions are explicit and consistent by breaking study selection into five concrete dimensions, reducing subjective judgment and supporting reproducible screening protocols.

How do I document exclusion reasons to meet PRISMA reporting requirements?▼

PRISMA compliance requires recording why each excluded study failed your criteria and logging all screening decisions. Document exclusion reasons during full-text review against your predefined inclusion/exclusion rules, then use this audit trail to populate PRISMA flow diagrams showing study attrition at each stage.

Can I use title and abstract screening to filter studies before full-text review?▼

Yes. Title and abstract screening is the first filtering stage using your inclusion criteria to rapidly exclude clearly ineligible studies. Apply the same criteria rules as full-text review but at reduced detail, then proceed to full-text review for borderline or potentially eligible records.

What happens when screening decisions conflict between reviewers?▼

Screening protocols with explicit criteria and logged decisions enable conflict detection and resolution. When reviewers disagree, review the recorded rationale against your PICOS-based criteria, discuss deviations, and document the final decision to maintain consistency and transparency in your systematic review.

Does this approach work for non-English language studies?▼

The framework supports any language if your inclusion criteria explicitly define language scope. The quick-start example uses English-language studies; adjust your criteria to include or exclude languages based on your review's scope and resource availability.