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literature-review

Aggregate and synthesize evidence from multiple databases for systematic literature reviews.

1|Updated Jan 26, 2026
Search Tags:#PRISMA#literature-review#systematic-review#citation-verification#multi-database-search#PDF-generation
One-click install
npx skills add https://github.com/Victory-Hugo/S2-Agent-Skill --skill literature-review-victory-hugo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/Victory-Hugo/S2-Agent-Skill/tree/main/skills/writing/literature-review
Command: npx skills add https://github.com/Victory-Hugo/S2-Agent-Skill --skill literature-review-victory-hugo

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 streamlines the creation of rigorous literature reviews by providing a structured, reproducible workflow that aggregates data from multiple databases, standardizes screening, and ensures citation integrity.

Core Features & Use Cases

  • Multi-database search: Integrates PubMed, bioRxiv/medRxiv, arXiv, Semantic Scholar, and other sources to cover diverse literature.
  • Deduplication & ranking: Automatically removes duplicates and prioritizes results by citations, year, or relevance.
  • PRISMA-aligned workflow: Guides reporting with clear stages (screening, inclusion, and flow diagrams) and supports data extraction templates.
  • Citation verification: Validates DOIs and retrieves metadata to ensure accurate references.
  • Document generation: Produces professional Markdown and PDF outputs from asset templates.
  • Use Case: A researcher drafts a systematic review on a topic with multiple sub-questions, running searches across databases, screening results, and generating a PRISMA-compliant report.

Quick Start

Start by opening the assets/review_template.md, duplicate it to your working file, and begin populating it with search results. Then run:

  • python scripts/search_databases.py your_results.json --format markdown --output review_results.md
  • python scripts/verify_citations.py review_results.md
  • python scripts/generate_pdf.py review_results.md --output review_results.pdf

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 like PubMed and arXiv?▼

A PRISMA-aligned workflow standardizes systematic review reporting by tracking screening, inclusion, and exclusion stages through flow diagrams. This skill guides PRISMA-compliant reporting to ensure transparent, reproducible literature synthesis.

Can I verify citations and validate DOIs automatically during a literature review?▼

Citation verification during a literature review validates DOIs and retrieves accurate metadata for references. This skill automates citation verification to ensure reference integrity across your systematic review or meta-analysis outputs.

What is the best way to generate a PRISMA flow diagram and systematic review report as a PDF?▼

Generating a PRISMA flow diagram and systematic review report as a PDF involves populating a Markdown template with screening results. This skill uses asset templates to produce professional Markdown and PDF outputs for your final review report.

Do I need Python and the requests library to run automated multi-database searches for evidence synthesis?▼

Automated multi-database searches for evidence synthesis require Python and the requests library to execute the provided scripts. This skill uses Python scripts to query databases, verify citations, and generate formatted PDF reports.

Does this systematic review tool support narrative syntheses and scoping reviews in addition to meta-analyses?▼

This systematic review tool supports narrative syntheses and scoping reviews in addition to meta-analyses across biomedical and scientific domains. It standardizes screening and data extraction templates for various types of evidence synthesis.

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