biorxiv-database

Search bioRxiv by keywords, authors, dates, and categories, returning structured metadata.

Updated Aug 27, 2026

Search Tags:#pdf #search #metadata #literature #preprints #biorxiv #doi

Ready to run

npx skills add https://github.com/unstun/dqn10 --skill biorxiv-database-unstun

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: biorxiv-database
Source: https://github.com/unstun/dqn10/tree/main/.claude/skills/biorxiv-database
Command: npx skills add https://github.com/unstun/dqn10 --skill biorxiv-database-unstun

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

bioRxiv preprint discovery and metadata collection is often manual and fragmented; this skill provides fast, programmatic access to bioRxiv metadata, search results, and optional PDFs.

Core Features & Use Cases

Keyword/author/date/category search across bioRxiv
Retrieve structured metadata: titles, DOIs, authors, dates, categories, abstracts
Optional PDF download and export-ready formats for literature reviews

Quick Start

Search bioRxiv for a set of keywords within a date range and export the structured results as JSON.

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?▼

Search bioRxiv preprints by providing keywords, authors, and date ranges to retrieve structured metadata including titles, DOIs, authors, dates, categories, and abstracts. Results are returned as structured data for easy export to literature reviews.

Can I download bioRxiv preprint PDFs automatically with metadata?▼

Yes, you can optionally download bioRxiv preprint PDFs while preserving provenance to project files. The skill retrieves structured metadata and links PDFs to their corresponding DOIs for organized literature management.

What bioRxiv metadata fields are available for literature reviews?▼

Available bioRxiv metadata fields include titles, DOIs, authors, dates, categories, and abstracts. This structured metadata is export-ready for literature reviews and can be saved as JSON for downstream analysis.

Does the bioRxiv API search tool work offline?▼

The skill handles network errors gracefully and provides fallbacks when network access is unavailable. It satisfies runtime constraints by using the bioRxiv API minimally, ensuring stable performance even with intermittent connectivity.

What is the best way to export bioRxiv search results as JSON?▼

Export bioRxiv search results as JSON by running keyword, author, or date range queries through the skill. It structures titles, DOIs, authors, dates, categories, and abstracts into export-ready formats for literature reviews.

Do I need Python requests to search bioRxiv preprints?▼

Yes, the skill requires the Python requests library to access the bioRxiv API for preprint searches. This dependency enables fetching structured metadata and optional PDF downloads programmatically.