scoping-review

Automate scoping reviews with literature searches, data charting, and evidence gap maps.

6|2|Updated Jun 11, 2026

Search Tags:#research methodology #JBI #scoping review #Arksey-O'Malley #evidence landscape

Ready to run

npx skills add https://github.com/pradyumnasagar/open-research-skills --skill scoping-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scoping-review
Source: https://github.com/pradyumnasagar/open-research-skills/tree/main/skills/literature-research/scoping-review
Command: npx skills add https://github.com/pradyumnasagar/open-research-skills --skill scoping-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, matplotlib, pyyaml, requests, pypdf2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of scoping reviews, providing a structured framework for mapping research evidence landscapes.

Core Features & Use Cases

Structured Review Framework: Offers Arksey-O'Malley and JBI frameworks for scoping reviews.
Data Charting: Extracts and charts key information from studies.
Evidence Gap Mapping: Identifies research gaps and knowledge inconsistencies.
Use Case: Ideal for researchers seeking to explore the breadth of literature in an emerging field or identify gaps in the evidence base.

Quick Start

Run the 'scoping-review' skill with the research question 'What is the current state of AI in mental health research?'.

Frequently Asked Questions about scoping-review

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

FAQPage Schema

How do I automate a scoping review to map an evidence landscape?▼

To automate a scoping review, this Skill uses the Arksey-O'Malley and JBI frameworks to define scope, conduct literature searches, chart data, and generate evidence gap maps. It processes research data using Python libraries like pandas and matplotlib.

What is the best way to identify research gaps in an emerging field?▼

The best way to identify research gaps is by mapping the evidence landscape. This Skill extracts and charts key information from studies to highlight knowledge inconsistencies and visually map gaps in the evidence base.

How do I chart data from literature searches using the JBI framework?▼

You can chart data from literature searches by applying the JBI framework within this Skill. It automates the extraction of key information from studies and structures the charting process to summarize large bodies of research.

Do I need Python libraries like pandas and matplotlib to map evidence landscapes?▼

Yes, you need Python libraries like pandas, openpyxl, and matplotlib to run this scoping review Skill. These dependencies are required to process the literature data, chart the extracted information, and generate the visual evidence gap maps.

Can I use the Arksey-O'Malley framework for scoping reviews in Python?▼

Yes, you can use the Arksey-O'Malley framework for scoping reviews in Python. This Skill provides a structured automated framework based on Arksey-O'Malley to help researchers explore and summarize large bodies of research.

What are the limitations of automating scoping reviews for evidence gap mapping?▼

The limitations of automating scoping reviews include the need for specific Python dependencies like pypdf2 and pyyaml. The process is designed to map research breadth and identify gaps, but requires structured input to accurately chart data and generate evidence maps.