biorxiv-database

Search bioRxiv preprints by keywords, authors, dates, or categories and output JSON metadata.

16|7|Updated Nov 20, 2025
One-click install
npx skills add https://github.com/jackspace/ClaudeSkillz --skill biorxiv-database-jackspace
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: biorxiv-database
Source: https://github.com/jackspace/ClaudeSkillz/tree/main/skills/scientific-db-biorxiv-database
Command: npx skills add https://github.com/jackspace/ClaudeSkillz --skill biorxiv-database-jackspace

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables efficient programmatic searching of bioRxiv preprints, retrieval of metadata, and PDF downloads for literature reviews and trend analysis.

Core Features & Use Cases

  • Keyword and author searches
  • Date range and category filtering
  • Metadata retrieval (DOI, title, authors, date)
  • PDF downloads for selected papers

Quick Start

Use scripts/biorxiv_search.py with keywords and date range to generate results.json and optionally download PDFs.

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 and download PDFs?

Keyword search of bioRxiv preprints retrieves structured metadata including title, abstract, DOI, and authors, with direct PDF download links. Use scripts/biorxiv_search.py with your search terms to generate results.json and optionally download selected papers in bulk.

Can I filter bioRxiv searches by date range, category, and author?

Date range, category, and author filtering are built into bioRxiv searches. Specify your filters when running the search script to narrow results to specific research domains, publication windows, and contributor names.

What metadata does bioRxiv search return for each preprint?

bioRxiv search returns JSON-structured metadata fields: title, abstract, DOI, authors, publication date, category, citation information, and direct PDF URLs for programmatic access and citation management workflows.

Can I automate literature reviews and trend analysis with bioRxiv searches?

Literature reviews and trend analysis workflows use automated bioRxiv keyword and date-range searches to gather preprint metadata at scale. Bulk PDF downloads enable systematic review pipelines without manual collection.

Do I need to parse PDF content, or does bioRxiv search return metadata only?

bioRxiv search returns structured metadata and PDF URLs; it does not parse PDF content. For content extraction, you would process downloaded PDFs with additional tools after retrieving them through this Skill.

What dependencies are required to run bioRxiv searches?

bioRxiv search requires requests (for HTTP queries) and pandas (for metadata structuring). These handle API communication and tabular data output formatting for search results.