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biorxiv

Efficient database search tool for bioRxiv preprint server.

Skill by LUNARTECH-X

IndexedMIT★ 17
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

Use cases: backend, research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/biorxiv

What's inside

Skill name
biorxiv
Description
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.
License
MIT
Metadata
version: 1.0.0 · skill-author: AlterLab
Instructions
475 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (3)

  • SKILL.md
  • api_reference.md · references/
  • biorxiv_search.py · scripts/

SKILL.md (first lines)

# 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" \
  --days-back 180 \
  --category neuroscience \
  --output recent_neuroscience.json
```

**Search Fields:**
By default, keywords are searched in both title and abstract. Customize with `--search-fields`:
```python
python scripts/biorxiv_search.py \
  --keywords "AlphaFold" \
  --search-fields title \
  --days-back 365
```

### 2. Author Search

Find all papers by a specific author within a date range.

**Basic Usage:**
```python
python scripts/biorxiv_search.py \
  --author "Smith" \
  --start-date 2023-01-01 \
  --end-date 2024-12-31 \
  --output smith_papers.json
```

**Recent Publications:**
```python
# Last year by default if no dates specified
python scripts/biorxiv_search.py \
  --author "Johnson" \
  --output johnson_recent.json
```

### 3. Date Range Search

Retrieve all preprints posted within a specific date range.

**Basic Usage:**
```python
python scripts/biorxiv_search.py \
  --start-date 2024-01-01 \
  --end-date 2024-01-31 \
  --output january_2024.json
```

**With Category Filter:**
```python
python scripts/biorxiv_search.py \
  --start-date 2024-06-01 \
  --end-date 2024-06-30 \
  --category genomics \
  --output genomics_june.json
```

**Days Back Shortcut:**
```python
# Last 30 days
python scripts/biorxiv_search.py \
  --days-back 30 \
  --output last_month.json
```

### 4. Paper Details by DOI

Retrieve detailed metadata for a specific preprint.

**Basic Usage:**
```python
python scripts/biorxiv_search.py \
  --doi "10.1101/2024.01.15.123456" \
  --output paper_details.json
```

**Full DOI URLs Accepted:**
```python
python scripts/biorxiv_search.py \
  --doi "https://doi.org/10.1101/2024.01.15.123456"
```

### 5. PDF Downloads

From LUNARTECH-X/superpowers, MIT.

More from LUNARTECH-X/superpowers

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Stars
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Forks
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Open issues
0
Last commit (this folder)
May 15, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

biorxiv skill. Agent Mart. https://agentmart.dev/skills/lunartech-x-biorxiv (last updated 2026-10-24)