Agent skill · Databases

biorxiv-database

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill biorxiv-database --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 12 KB
Bundled scripts: yes
Path: skills/01-论文检索与文献管理/biorxiv-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# bioRxiv Database ## Overview This skill provides efficient Python-based tools for searching and retrieving preprints from the bioRxiv database. It enables comprehensive searches by keywords, authors, date ranges, and categories, returning structured JSON metadata that includes titles, abstracts, DOIs, and citation information. The skill also supports PDF downloads for full-text analysis. ## When to Use This Skill Use this skill when: - Searching for recent preprints in specific research areas - Tracking publications by particular authors - Conducting systematic literature reviews - Analyzing research trends over time periods - Retrieving metadata for citation management - Downloading preprint PDFs for analysis - Filtering papers by bioRxiv subject categories ## Core Search Capabilities ### 1. Keyword Search Search for preprints containing specific keywords in titles, abstracts, or author lists. **Basic Usage:** ```python python scripts/biorxiv_search.py \ --keywords "CRISPR" "gene editing" \ --start-date 2024-01-01 \ --end-date 2024-12-31 \ --output results.json ``` **With Category Filter:** ```python python scripts/biorxiv_search.py \ --keywords "neural networks" "deep learning"

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Search Capabilities
  4. 1. Keyword Search
  5. 2. Author Search
  6. 3. Date Range Search
  7. 4. Paper Details by DOI
  8. 5. PDF Downloads
  9. Valid Categories
  10. Output Format
  11. Common Usage Patterns
  12. Literature Review Workflow
  13. Trend Analysis
  14. Author Tracking
Ships with 2 files
  • references/api_reference.md
  • scripts/biorxiv_search.py
Commands it runs
uv pip install requests
python tests/test_biorxiv_search.py
More from qinyan-academic-skills
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About this skill
What does the biorxiv-database skill do?

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill biorxiv-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going