literature-review

Conduct systematic literature searches across academic databases and synthesize findings.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/WishingCat/MySkills --skill literature-review-wishingcat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/WishingCat/MySkills/tree/main/literature-review
Command: npx skills add https://github.com/WishingCat/MySkills --skill literature-review-wishingcat

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps researchers perform rigorous, comprehensive literature reviews across multiple databases while ensuring citations are accurate and outputs are publication-ready.

Core Features & Use Cases

  • Multi-database search and aggregation: Conducts systematic searches across biomedical and scientific sources (e.g., PubMed, bioRxiv, arXiv, Semantic Scholar) and aggregates results for deduplication and screening.
  • Structured evidence workflow: Guides planning, screening (title → abstract → full text), data extraction, quality assessment (e.g., Cochrane RoB/NOS/AMSTAR 2), and thematic synthesis.
  • Citation verification and professional publishing: Verifies DOIs and generates consistently formatted markdown and PDFs in common citation styles (APA, Nature, Vancouver, etc.).
  • Mandatory scientific schematics: Requires inclusion of at least one PRISMA-style or related scientific figure via the scientific-schematics skill to make the review complete.

Quick Start

Use the literature-review skill to draft a systematic literature review for your topic and automatically verify all DOIs and generate a PDF-ready markdown document with at least one PRISMA schematic figure.

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 academic databases?

A systematic literature review aggregates search results from PubMed, bioRxiv, arXiv, and Semantic Scholar, then applies deduplication, title-abstract-full text screening, data extraction, and quality assessment to synthesize findings into a publication-ready narrative.

How does PRISMA flow diagram generation work for systematic reviews?

PRISMA schematics are mandatory scientific figures that visually document the literature search and screening workflow, mapping the number of records identified, screened, excluded, and included through the systematic review process.

Can I use this to verify DOIs and format citations in APA or Vancouver style?

Yes, citation verification cross-checks DOIs and generates consistently formatted citations in common styles including APA, Nature, and Vancouver, ensuring all references are accurate before generating the final document.

Do I need xelatex and pandoc installed to generate a PDF-ready markdown document?

Yes, generating publication-ready PDF outputs requires pandoc and xelatex dependencies to convert the synthesized markdown narrative and verified citations into a properly formatted document.

What is the best way to perform thematic synthesis and quality assessment for a meta-analysis?

Thematic synthesis requires structured evidence workflows that apply quality assessment frameworks like Cochrane RoB, NOS, or AMSTAR 2 to evaluate extracted data before synthesizing the final review narrative.

Does this approach support scoping reviews and research synthesis for technical topics?

Yes, this approach applies to systematic reviews, scoping reviews, meta-analyses, and research synthesis across biomedical, scientific, and technical topics with documented search workflows and publication-ready outputs.