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ManfronEnrico
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literature-review

Conduct multi-database literature searches and synthesize findings into Markdown and PDF reports.

Updated Mar 21, 2026
Search Tags:#prisma#literature-review#academic-writing#systematic-review#citation-verification#publication-ready#multidatabase
One-click install
npx skills add https://github.com/ManfronEnrico/thesis-manifold --skill literature-review-manfronenrico
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/ManfronEnrico/thesis-manifold/tree/main/.claude/skills/literature-review
Command: npx skills add https://github.com/ManfronEnrico/thesis-manifold --skill literature-review-manfronenrico

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 enables researchers to perform comprehensive, systematic literature reviews across multiple databases, delivering publication-ready outputs with verified citations and reproducible methods.

Core Features & Use Cases

  • Multi-database search across biomedical databases (PubMed, bioRxiv, arXiv, Semantic Scholar, OpenAlex, Dimensions) to cover diverse sources.
  • Systematic screening, data extraction, and quality assessment aligned with PRISMA guidance, enabling thematic synthesis and structured reporting.
  • Output generation in professional Markdown and PDF formats with properly formatted citations, suitable for theses, articles, and reports.
  • Reproducibility support: documenting search strategies, inclusion/exclusion criteria, screening decisions, and data extraction fields to facilitate replication.

Quick Start

Create a new Markdown review from the template and begin a multi-database search for your topic.

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?▼

To conduct a systematic literature review across multiple academic databases, this skill searches PubMed, bioRxiv, arXiv, Semantic Scholar, OpenAlex, and Dimensions. It handles planning, screening, data extraction, and quality assessment aligned with PRISMA guidance to ensure reproducibility.

What is PRISMA-guided systematic review synthesis and reporting?▼

PRISMA-guided systematic review synthesis is a structured methodology for screening literature and appraising quality. This skill automates documenting inclusion criteria, extraction fields, and search strategies to generate publication-ready Markdown and PDF outputs with verified citations.

Can I generate publication-ready Markdown and PDF reports with verified citations automatically?▼

Yes, you can generate publication-ready Markdown and PDF reports with verified citations automatically. The skill formats extracted data, search strategies, and quality appraisal results into professional documents suitable for theses and scientific articles.

Does this systematic review tool work for both biomedical and technical scientific domains?▼

Yes, this systematic review tool works for biomedical and technical scientific domains. It applies rigorous multi-database searching and thematic synthesis across diverse sources like PubMed for biomedical research and arXiv for technical literature.

How do I document search strategies and inclusion criteria for reproducible literature reviews?▼

To document search strategies and inclusion criteria for reproducible literature reviews, the skill automatically records screening decisions, data extraction fields, and quality appraisal details. This ensures your systematic review methods facilitate replication and transparency.

Do I need the requests library to perform multi-database literature searches?▼

Yes, you need the requests library installed to perform multi-database literature searches. This dependency enables the skill to query external APIs like Semantic Scholar, OpenAlex, and Dimensions for retrieving academic publications and metadata.

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