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literature-review

Generate systematic literature reviews with multi-database search, screening, thematic synthesis, and DOI verification.

4|Updated Mar 2, 2026
Search Tags:#systematic review#PRISMA#PDF generation#literature search#citation verification#DOI#thematic synthesis
One-click install
npx skills add https://github.com/shushuzn/Rairos --skill literature-review-shushuzn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/shushuzn/Rairos/tree/main/skills/literature-review
Command: npx skills add https://github.com/shushuzn/Rairos --skill literature-review-shushuzn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Literature review writing is time-consuming and error-prone, especially when you must search across multiple sources, deduplicate results, synthesize evidence thematically, and ensure citations are accurate before publication.

Core Features & Use Cases

  • Systematic multi-database discovery: Performs broad scoping with parallel-cli search, then supports domain-specific biomedical and scientific sources (PubMed, bioRxiv, arXiv, Semantic Scholar, etc.).
  • Screening + PRISMA documentation: Guides title/abstract/full-text screening with structured inclusion/exclusion criteria and PRISMA-style reporting.
  • Quality assessment + thematic synthesis: Supports established quality tools and emphasizes synthesis by themes rather than study-by-study summaries.
  • Citation verification + multi-style formatting: Verifies DOIs via verify_citations.py and generates consistent references in common styles (APA, Nature, Vancouver, etc.).
  • Professional document outputs (Markdown + PDF): Uses a reusable template and generates a publication-quality PDF via pandoc-based rendering.

Quick Start

Use the literature-review skill to start a review by instructing the AI to run a systematic search for your topic, then deduplicate, screen, verify citations, and generate a Markdown-and-PDF literature review draft.

Frequently Asked Questions about literature-review

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

FAQPage Schema
How do I generate a PRISMA-compliant systematic literature review?▼

To generate a PRISMA-compliant systematic literature review, this skill coordinates multi-database searching, structured screening with inclusion criteria, thematic synthesis, and automated PRISMA documentation to produce a publication-ready draft.

Can I verify DOIs and format citations in APA or Vancouver style automatically?▼

Yes, DOI verification and multi-style citation formatting are handled automatically during the literature review process, cross-checking references and generating consistent outputs in styles like APA, Nature, and Vancouver.

What is the best way to search PubMed and arXiv for a scoping review?▼

The best way to search PubMed and arXiv for a scoping review is using parallel-web discovery for broad scoping, supplemented by domain-specific database queries to ensure comprehensive evidence gathering before screening.

Does this literature review tool output publication-ready PDF documents?▼

Yes, the literature review tool outputs publication-ready PDF documents by rendering the synthesized Markdown content through a pandoc-based template, including required scientific schematics.

How do I synthesize research themes instead of summarizing studies one by one?▼

To synthesize research themes instead of summarizing study-by-study, the skill applies thematic synthesis after quality assessment, grouping evidence by conceptual themes to produce an integrated review narrative.

Are there limitations to using automated citation verification for meta-analyses?▼

While automated citation verification validates DOIs and formats references accurately for meta-analyses, users should still manually review inclusion criteria and thematic synthesis interpretations to ensure domain-specific contextual accuracy.

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