Can I filter searches by specific research fields?

Yes, the skill supports 27 specific bioRxiv categories including neuroscience, genomics, bioinformatics, and bioengineering to ensure precise search results.

Does this skill provide access to full-text papers?

The skill retrieves detailed metadata and abstracts for all search results and includes a dedicated feature to download the full-text PDF of any preprint using its DOI.

Is this skill suitable for automated literature reviews?

Absolutely. It provides structured JSON output and a Python API specifically designed for programmatic integration into research pipelines and data analysis workflows.

How does the skill handle different preprint versions?

The tool tracks version numbers in its metadata output and provides version-specific PDF URLs, ensuring you can distinguish between initial submissions and revised papers.

BioRxiv Database Search

Name: BioRxiv Database Search
Author: Activer007

byActiver007

0•

数据科学与机器学习

Searches, retrieves metadata, and downloads preprints from the bioRxiv life sciences repository via Python-based tools.

The BioRxiv Database skill empowers researchers and developers to interact programmatically with the bioRxiv preprint server to streamline scientific discovery. It enables comprehensive literature reviews and trend analysis by allowing users to filter papers by keywords, authors, date ranges, and 27 specific subject categories. Beyond simple searching, the tool retrieves detailed metadata in structured JSON format—including titles, abstracts, and DOIs—and supports automated full-text PDF downloads, making it an essential utility for bioinformatics workflows and staying current with the latest biomedical research.

主要功能

01Automated retrieval of structured metadata including DOIs, citations, and abstracts.

020 GitHub stars

03Advanced multi-keyword search across titles, abstracts, and author lists.

04Precise filtering by 27 distinct bioRxiv subject categories like genomics and neuroscience.

05Direct PDF download functionality for automated full-text paper collection.

06Python API integration for building custom research and trend analysis pipelines.

使用场景

01Conducting systematic literature reviews for biomedical research and academic papers.

02Automating the tracking of new publications from specific authors or research institutions.

03Analyzing research trends and publication frequencies over time within specific life science domains.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills biorxiv-database

For use in Claude.ai and ChatGPT

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