What can I search for using the bioRxiv Database skill?

You can search for life science preprints using keywords, author names, specific DOI numbers, date ranges, and 27 distinct subject categories like neuroscience or genomics.

What format are the search results provided in?

Search results are returned as structured JSON data, containing titles, abstracts, author lists, DOIs, publication dates, and category information for easy programmatic use.

Does this skill support full-text paper downloads?

Yes, the skill includes functionality to download the full-text PDF of any preprint using its DOI or directly from search results.

Can I use this for systematic literature reviews?

Absolutely. It is designed for batch processing and automated metadata extraction, making it an ideal tool for systematic reviews and research trend analysis.

How does the skill handle bioRxiv API rate limits?

The skill includes automatic delays between requests to respect bioRxiv's server limits, ensuring stable data collection even during larger searches.

BioRxiv Scientific Database Search

Name: BioRxiv Scientific Database Search
Author: BbgnsurfTech

byBbgnsurfTech

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Data Science & ML

Enables efficient searching, metadata retrieval, and PDF downloads from the bioRxiv preprint server for life sciences research.

About

This skill provides a specialized interface for researchers and developers to programmatically access the bioRxiv database within Claude. It facilitates deep literature reviews and trend analysis by allowing targeted searches through keywords, authors, and 27 specific biological categories. With the ability to retrieve structured JSON metadata and download full-text PDFs directly, it streamlines the workflow for tracking emerging scientific research, managing citations, and conducting systematic evidence synthesis.

Key Features

3 GitHub stars
Automated PDF download functionality for full-text research analysis
Advanced search by keyword, author, DOI, and specific date ranges
Batch processing support for systematic literature reviews and trend tracking
Filtering capabilities across 27 distinct bioRxiv subject categories
Structured JSON output including abstracts, DOIs, and citation info

Use Cases

Tracking recent publications and preprints from specific authors or research labs
Automating systematic literature reviews for specific research areas like CRISPR or genomics
Analyzing temporal research trends by monitoring publication frequencies over time

About

Key Features

3 GitHub stars
Automated PDF download functionality for full-text research analysis
Advanced search by keyword, author, DOI, and specific date ranges
Batch processing support for systematic literature reviews and trend tracking
Filtering capabilities across 27 distinct bioRxiv subject categories
Structured JSON output including abstracts, DOIs, and citation info

Use Cases

Tracking recent publications and preprints from specific authors or research labs
Automating systematic literature reviews for specific research areas like CRISPR or genomics
Analyzing temporal research trends by monitoring publication frequencies over time