biorxiv-database

Search bioRxiv preprints by keywords, authors, dates, and categories.

21|2|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill biorxiv-database-silverstein
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: biorxiv-database
Source: https://github.com/silverstein/claude-scientific-skills-desktop/tree/main/corpus/biorxiv-database
Command: npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill biorxiv-database-silverstein

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

bioRxiv Database search helps you quickly find relevant life-sciences preprints and retrieve their metadata and PDFs without manually browsing the site.

Core Features & Use Cases

  • Keyword, author, date-range, and category search: Find preprints by keywords, corresponding authors, time windows, or bioRxiv subject categories.
  • Structured metadata output: Returns JSON with DOI, title, authors, abstract, category, and links for HTML/JATS/PDF.
  • PDF download for full-text analysis: Download preprint PDFs by DOI to support downstream review or text mining.
  • Literature review support: Build workflows for screening, tracking trends over time, and compiling citations.

Quick Start

Use the bioRxiv database skill to find recent preprints by keywords by instructing it to search for preprints containing the terms CRISPR and gene editing in 2024 within the bioinformatics category, returning structured metadata.

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 keyword, author, and date range?

To search bioRxiv preprints, you can filter by keywords, corresponding authors, specified start and end dates, and subject categories. The search returns structured JSON metadata including DOI, title, authors, abstract, and resolvable links.

Can I download bioRxiv preprint PDFs using a DOI?

Yes, you can download bioRxiv preprint PDFs by providing their DOI. This feature supports full-text analysis, downstream literature reviews, and text mining workflows directly from the retrieved preprint files.

What metadata fields are returned for a bioRxiv literature review?

A bioRxiv literature review returns structured JSON metadata containing DOI, title, authors, abstract, version, category, and resolvable HTML, PDF, and JATS URLs for consistent citation tracking.

How do I find recent life-sciences preprints within a specific subject category?

You can find life-sciences preprints by specifying a bioRxiv subject category and a date range. This filters the search to return only relevant preprints published within your selected time window.

What is the best way to automate bioRxiv metadata retrieval for trend tracking?

Automate bioRxiv metadata retrieval by configuring keyword and date filters to return structured JSON outputs. This enables systematic screening and compiling of citations to track publication trends over time.