systematic-review

Automate systematic reviews and meta-analyses with PRISMA 2020 compliance and GRADE grading.

6|2|Updated Jun 11, 2026
One-click install
npx skills add https://github.com/pradyumnasagar/open-research-skills --skill systematic-review-pradyumnasagar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: systematic-review
Source: https://github.com/pradyumnasagar/open-research-skills/tree/main/skills/literature-research/systematic-review
Command: npx skills add https://github.com/pradyumnasagar/open-research-skills --skill systematic-review-pradyumnasagar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires metafor, meta, robvis, rmarkdown, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the rigorous process of conducting systematic reviews and meta-analyses, ensuring adherence to PRISMA 2020 guidelines and enhancing the efficiency of evidence synthesis.

Core Features & Use Cases

  • Rigorous Review Process: Automates steps from literature search to evidence grading.
  • PRISMA 2020 Compliant: Ensures transparency and replicability of review processes.
  • Use Case: Ideal for healthcare professionals, researchers, and academics who need to synthesize research findings to inform policy, clinical practice, or educational material.

Quick Start

Run the systematic-review skill with a PICO framework and a PRISMA 2020 protocol for a comprehensive review.

Frequently Asked Questions about systematic-review

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

FAQPage Schema
How do I automate a systematic review and meta-analysis with PRISMA 2020 compliance?

You can automate a systematic review by running the Skill with a PICO framework, which handles the rigorous process from literature search to data synthesis while ensuring PRISMA 2020 compliance. It streamlines evidence synthesis for researchers and healthcare professionals.

How does risk-of-bias assessment and GRADE evidence grading work in evidence synthesis?

Risk-of-bias assessment and GRADE evidence grading are automated steps within the systematic review Skill. It evaluates literature quality to ensure transparency and replicability, enhancing the efficiency of synthesizing research findings for clinical or policy use.

Do I need R packages like metafor and robvis to conduct a meta-analysis?

Yes, you need R with metafor, meta, robvis, and rmarkdown packages to conduct a meta-analysis with this Skill. These dependencies provide the necessary statistical analysis and visualization capabilities to perform rigorous evidence synthesis.

What's the best way to structure a PRISMA 2020 protocol for a systematic review?

The best way to structure a PRISMA 2020 protocol is to define a clear PICO framework beforehand. Running the Skill with this protocol automates the comprehensive review process, ensuring adherence to transparency guidelines from literature search to evidence grading.

Can I generate automated visualizations for risk-of-bias assessment using robvis?

Yes, you can generate automated visualizations for risk-of-bias assessment using robvis. The Skill leverages this R package alongside metafor and meta to provide comprehensive statistical analysis and visual outputs for systematic reviews.