literature-review

Literature Review - Systematic Literature Review Intelligent Tool

Skill Overview

Literature Review is a systematic literature review tool designed for researchers and academic authors. It supports searching across multiple academic databases, automatically verifying citations, and generating professional-format outputs to help you efficiently complete the entire process—from literature research to paper writing.

Use Cases

Systematic Literature Review and Meta-Analysis

When you need to conduct a rigorous systematic literature review according to PRISMA standards, this skill provides an end-to-end process including complete search, screening, assessment, and synthesis. It supports using the PICO framework to develop search strategies, automatically generates PRISMA flowcharts, and performs study quality evaluation.

Literature Review Section for Academic Papers

Provides professional support for the literature review sections of research papers, theses, or grant proposals. From multi-database searching to thematic synthesis, it automatically generates citations in academic-standard formats (APA, Nature, Vancouver, etc.).

Research Field Status Investigation

Quickly understand the latest developments in a specific research area, identify research gaps, and detect emerging trends. By conducting parallel searches across multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.), it helps retrieve comprehensive, high-quality literature resources.

Core Features

Intelligent Multi-Database Literature Search

Integrates parallel web search and major academic databases such as PubMed, arXiv, bioRxiv, and Semantic Scholar. Supports filtering results by academic domain. Automatically de-duplicates, sorts by citation count, and can extract full-text content for in-depth analysis.

Automatic Citation Verification and Formatting

Includes a built-in CrossRef verification system that automatically checks the accuracy of all DOIs and retrieves metadata. Supports multiple citation formats (APA, Nature, Vancouver, Chicago, IEEE) to ensure citations meet the requirements of your target journal.

PRISMA Flow and Professional Output

Fully supports PRISMA systematic review standards. Automatically generates flowcharts and records the screening process. Supports high-quality Markdown and PDF output, including table of contents, section numbering, and professional formatting—ready for academic publication.

FAQs

Which academic databases does Literature Review support?

This skill supports multiple mainstream academic databases and preprint servers, including:

Biomedicine: PubMed, PubMed Central, bioRxiv, medRxiv

General Science: arXiv, Semantic Scholar, Google Scholar

Specialized Databases: ChEMBL, KEGG, UniProt, COSMIC, AlphaFold

Using a parallel web search tool (parallel-web) enables fast cross-database searches and filtering by academic domain.

How can it automatically verify citation accuracy?

The skill includes a verify_citations.py script that automatically extracts all DOIs from documents and verifies them using the CrossRef API. The script checks whether each DOI is resolvable, retrieves correct metadata (authors, title, journal, year), and generates a verification report. You only need to run:

python scripts/verify_citations.py your_review.md

Items that fail verification will be flagged so you can correct them and re-verify, ensuring all references are accurate.

What environment configuration is required?

For basic functionality, only a standard Python environment and the necessary dependency packages (e.g., requests) are needed. For generating professional PDFs, you need to install pandoc and LaTeX (on macOS, Homebrew can be used). Some advanced features (such as LLM-assisted analysis) optionally support using an OpenRouter API key, but it is not required. All dependencies can be quickly checked for installation status using the --check-deps parameter.