Does this skill respect bioRxiv API rate limits?

Yes, the tool includes automatic 0.5-second delays between requests to ensure compliance with server policies during batch operations.

Is there a way to track the most recent research?

The skill supports a 'days-back' parameter and specific date ranges, allowing you to easily find preprints published in the last week, month, or year.

Can I download full-text papers with this skill?

Yes, the skill includes a dedicated PDF download function that retrieves full-text preprints using their DOI or direct paper URL.

What kind of metadata does the search return?

It returns structured JSON including titles, authors, full abstracts, publication dates, versions, DOIs, and institutional affiliations.

Can I filter by specific scientific fields?

Yes, you can filter searches across 27 specific bioRxiv categories such as genetics, neuroscience, immunology, and bioinformatics.

BioRxiv Database Search

Name: BioRxiv Database Search
Author: Microck

byMicrock

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웹 스크래핑 및 데이터 수집

Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.

소개

The BioRxiv Database skill provides a robust Python-based interface for querying the premier preprint server for the biological sciences directly through Claude. It allows researchers and developers to perform complex searches by keywords, authors, and specific date ranges, returning well-structured JSON metadata including abstracts, DOIs, and citation info. With built-in support for PDF downloads and category-specific filtering across 27 subject areas, this skill streamlines systematic literature reviews, author tracking, and research trend analysis for bioinformatics and life sciences projects.

주요 기능

81 GitHub stars
Automated metadata retrieval in structured JSON format
Temporal tracking tools for research trend analysis
Filtering across 27 specific bioRxiv subject categories
Multi-parameter search by keywords, authors, and DOI
Integrated PDF download functionality for full-text analysis

사용 사례

Conducting automated systematic literature reviews in specific research domains
Collecting large-scale preprint metadata for data science and NLP research
Tracking recent publications and preprint versions from specific authors

소개

주요 기능

81 GitHub stars
Automated metadata retrieval in structured JSON format
Temporal tracking tools for research trend analysis
Filtering across 27 specific bioRxiv subject categories
Multi-parameter search by keywords, authors, and DOI
Integrated PDF download functionality for full-text analysis

사용 사례

Conducting automated systematic literature reviews in specific research domains
Collecting large-scale preprint metadata for data science and NLP research
Tracking recent publications and preprint versions from specific authors