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biorxiv-database

Search bioRxiv preprints by keywords, authors, dates, and categories, returning JSON metadata and PDFs.

Updated Mar 30, 2026
Search Tags:#metadata#preprints#research-review#pdf-download#biorxiv#literature-search
One-click install
npx skills add https://github.com/ya-way/cytoclaw-skills --skill biorxiv-database-ya-way
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: biorxiv-database
Source: https://github.com/ya-way/cytoclaw-skills/tree/main/workspace/skills/labclaw-lit-biorxiv-database
Command: npx skills add https://github.com/ya-way/cytoclaw-skills --skill biorxiv-database-ya-way

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Efficiently searches bioRxiv preprints by keywords, authors, dates, and categories and retrieves metadata and PDFs to support literature screening and reviews.

Core Features & Use Cases

  • Keyword, author, date-range, and category search for preprints and retrieval of structured metadata.
  • PDF download for full-text analysis and systematic reviews.
  • Use Case: Build literature review datasets by exporting results to JSON for citation management.

Quick Start

Search bioRxiv with keywords, then export the results as JSON and download any PDFs you need.

Frequently Asked Questions about biorxiv-database

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

FAQPage Schema
How do I search bioRxiv preprints by keywords, authors, and date ranges?▼

To search bioRxiv preprints, apply specific keywords, author names, date ranges, and life science categories to filter and retrieve matching preprint records. The Python-based scripts query accessible APIs to return structured metadata for your literature screening.

Can I download bioRxiv preprint PDFs for full-text systematic reviews?▼

Yes, you can download bioRxiv preprint PDFs for full-text systematic reviews. The tool retrieves full-text documents via accessible APIs and local tools, enabling in-depth analysis and systematic screening across life sciences disciplines.

How do I export bioRxiv search results to JSON for citation management?▼

Export bioRxiv search results to JSON by running the Python-based search scripts to capture structured metadata outputs. This process builds literature review datasets that integrate smoothly with reference management tools and downstream analysis pipelines.

Does this tool work for systematic screening across life sciences categories?▼

Yes, this tool works for systematic screening across life sciences categories. It enables efficient literature screening by allowing users to filter bioRxiv preprints by category, retrieve structured metadata, and download PDFs for comprehensive trend analysis.

What is the best way to build a literature review dataset from bioRxiv preprints?▼

The best way to build a literature review dataset from bioRxiv preprints is to search by keywords and categories, then export the structured JSON outputs and download required PDFs. This creates an organized dataset supporting citation management and trend analysis.

Are Python scripts required to retrieve bioRxiv metadata and PDFs?▼

Yes, Python-based search scripts are required to retrieve bioRxiv metadata and PDFs. The tool utilizes Python scripts to query accessible APIs, returning structured metadata and facilitating optional full-text PDF downloads for your research review.

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