literature-review

Plan and conduct multi-database literature reviews with screening and extraction.

52|6|Updated Nov 24, 2025

Search Tags:#research #citations #PRISMA #meta-analysis #databases #literature-review #systematic-review

Ready to run

npx skills add https://github.com/ovachiever/droid-tings --skill literature-review-ovachiever

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/ovachiever/droid-tings/tree/main/skills/literature-review
Command: npx skills add https://github.com/ovachiever/droid-tings --skill literature-review-ovachiever

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill guides users through planning, conducting, and reporting a rigorous literature review, including search strategy, screening, data extraction, quality assessment, synthesis, and citation verification.

Core Features & Use Cases

Multi-database search strategy across PubMed, bioRxiv/medRxiv, arXiv, Semantic Scholar, and more
Systematic screening, data extraction, and quality assessment workflows
Thematic synthesis, PRISMA-compliant reporting, and risk-of-bias evaluation
Citation verification and output in markdown and PDF formats

Quick Start

Define your review question, map search terms to databases, plan inclusion/exclusion criteria, and generate a PRISMA flow diagram.

Frequently Asked Questions about literature-review

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

FAQPage Schema

How do I conduct a systematic literature review across multiple databases?▼

Systematic literature reviews involve planning a search strategy, querying multiple databases like PubMed and arXiv simultaneously, applying inclusion/exclusion criteria, and extracting data systematically. This Skill automates multi-database searching, screening, and PRISMA-compliant reporting to ensure rigor and reproducibility across biomedical, scientific, and technical research.

What is PRISMA and why does it matter for literature reviews?▼

PRISMA is a reporting standard that ensures systematic reviews are transparent, complete, and reproducible. This Skill generates PRISMA flow diagrams and compliant reports automatically, helping you document your review process, justify decisions, and meet publication standards in research syntheses and meta-analyses.

Can I verify citations and export results in multiple formats?▼

Yes. This Skill verifies citations against your sources, exports findings in markdown and PDF formats, and supports multiple citation styles. This ensures your literature review output is publication-ready and compatible with different journals and reference management workflows.

How do I perform data extraction and quality assessment in a literature review?▼

This Skill guides systematic data extraction from screened studies and includes quality assessment workflows to evaluate risk of bias. Combined with thematic synthesis, these steps transform raw search results into structured, analyzed evidence ready for meta-analysis or research synthesis reporting.

What's the best way to plan and map search terms across different research databases?▼

Effective search strategy requires mapping domain-specific terms to each database's indexing system. This Skill helps you define your review question, translate search terms across PubMed, bioRxiv, medRxiv, Semantic Scholar, and arXiv, and plan inclusion/exclusion criteria upfront to ensure comprehensive, unbiased coverage.