literature-review

Aggregate scholarly sources across biomedical databases and export verified citations to markdown or PDF.

33.0k|3.2k|Updated Oct 19, 2025
One-click install
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill literature-review-k-dense-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/scientific-skills/literature-review
Command: npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill literature-review-k-dense-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Streamlines the daunting task of scoping and conducting literature reviews by providing a structured, auditable workflow that reduces manual searching and errors.

Core Features & Use Cases

  • Parallel-web powered academic search across multiple databases (PubMed, arXiv, bioRxiv, Semantic Scholar) to accelerate discovery.
  • Multi-database integration via gget, bioservices, datacommons-client for comprehensive data gathering.
  • Citation verification with CrossRef and DOIs to ensure credibility.
  • Professional output generation in Markdown and PDF formats for publication-ready deliverables.
  • Supports reproducible workflows with documented search strategies, screening, and reporting aligned to PRISMA.

Quick Start

Enter your topic and run a complete review pipeline that searches, deduplicates, verifies citations, and exports a publication-ready report.

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 review across PubMed and arXiv?

You can automate a systematic review by running a pipeline that searches PubMed, arXiv, bioRxiv, and Semantic Scholar in parallel. The workflow handles deduplication, citation verification, and exports formatted reports.

What is the best way to ensure reproducibility in a meta-analysis literature review?

To ensure reproducibility in a meta-analysis, you need documented search strategies, standardized citation formats, and structured screening. This workflow enforces reproducibility by logging search queries and aligning reporting to PRISMA guidelines.

Can I verify citations and DOIs automatically when aggregating scientific sources?

Yes, you can verify citations automatically by checking references against CrossRef and validating DOIs during the aggregation process. This ensures the credibility of scholarly sources included in your review.

Does this systematic review workflow support PRISMA-aligned reporting and PDF export?

Yes, the systematic review workflow supports PRISMA-aligned reporting and exports publication-ready deliverables in both Markdown and PDF formats. This allows you to generate professional outputs directly from the aggregated evidence synthesis.

Do I need the requests library to run parallel-web academic searches?

Yes, the requests library is required as a dependency to execute the parallel-web academic searches. It facilitates the multi-database integration across PubMed, arXiv, and Semantic Scholar.