literature-review

Automate systematic literature reviews across multiple databases with verified citations.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/SciMate-AI/scicli --skill literature-review-scimate-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/claude-scientific-skills/skills/literature-review
Command: npx skills add https://github.com/SciMate-AI/scicli --skill literature-review-scimate-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Systematizes and accelerates literature reviews by coordinating search across multiple databases, deduplicating results, and ensuring citation accuracy, saving researchers hours of manual screening.

Core Features & Use Cases

  • Multi-database integration: searches PubMed, arXiv, bioRxiv, Semantic Scholar, and more to collect topic-relevant literature.
  • Systematic screening & synthesis: supports title/abstract screening, full-text review, thematic synthesis, and PRISMA flow documentation.
  • Citation verification & formatting: verifies DOIs and metadata via CrossRef/OpenAlex and outputs consistently formatted references.
  • Professional output generation: produces markdown reports and PDFs with citations, figures, and templates for academic writing.
  • Visual schematics guidance: optional generation of publication-ready figures using the scientific-schematics skill to illustrate search strategies or workflows.

Quick Start

Run a full literature-review workflow across databases to generate a professional markdown review and a PDF with verified citations.

Frequently Asked Questions about literature-review

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

FAQPage Schema
How do I automate a systematic literature review across multiple databases?

Automating a systematic literature review involves coordinating search queries across PubMed, arXiv, bioRxiv, and Semantic Scholar to collect, deduplicate, and screen relevant literature. This process generates PRISMA flow documentation and verified citations for academic writing.

Can I generate a PRISMA flow diagram and verify citations for a biomedical systematic review?

Generating a PRISMA flow diagram and verifying citations for biomedical reviews is supported through CrossRef and OpenAlex metadata checks. The workflow produces markdown reports and PDFs with consistently formatted references and PRISMA documentation.

What is the best way to extract and synthesize data from scientific literature for a technical topic?

The best way to extract and synthesize scientific literature is by applying title/abstract screening and full-text review to aggregate topic-relevant papers. This enables thematic synthesis and structured data extraction across multiple databases.

Does the literature review workflow support integration with bioservices and datacommons?

The literature review workflow supports integration with bioservices and datacommons to query biological and technical data. It combines these sources with Semantic Scholar and PubMed searches to produce comprehensive markdown and PDF reports.

How do I output a PDF literature review with verified DOIs and formatted references?

Outputting a PDF literature review with verified DOIs requires checking metadata via CrossRef and OpenAlex during the synthesis stage. This ensures citation accuracy and produces consistently formatted references within the final PDF document.

When should I use scientific schematics for a systematic review search strategy?

You should use scientific schematics to visually illustrate search strategies or workflows when you need publication-ready figures for your systematic review. This optional feature helps document the PRISMA flow and database search methodology.