citation-management

Search Google Scholar and PubMed to generate validated BibTeX bibliographies.

11|3|Updated Feb 2, 2026

Search Tags:#PubMed #metadata-extraction #BibTeX #citation-management #Google Scholar #CrossRef

Ready to run

npx skills add https://github.com/gqy20/IssueLab --skill citation-management-gqy20

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: citation-management
Source: https://github.com/gqy20/IssueLab/tree/main/agents/daiduo2/.claude/skills/citation-management
Command: npx skills add https://github.com/gqy20/IssueLab --skill citation-management-gqy20

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, scholarly, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill eliminates the manual burden of citation management by automating the discovery, metadata extraction, and BibTeX generation for scholarly references, ensuring accurate and reproducible citations in manuscripts.

Core Features & Use Cases

Citation discovery: Search Google Scholar and PubMed to locate relevant papers and retrieve core metadata.
Metadata extraction & BibTeX generation: Normalize author lists, titles, journals, years, DOIs, and produce properly formatted BibTeX entries.
Quality assurance: Validate DOIs, check for duplicates, and clean BibTeX for seamless manuscript submission.
Use Case: While drafting a literature review, run a topic query, auto-compile a BibTeX bibliography, and integrate it into a LaTeX document with minimal manual edits.

Quick Start

Install required dependencies, run a PubMed search for a topic, extract metadata to BibTeX, then validate and format the bibliography for submission.

Frequently Asked Questions about citation-management

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically generate BibTeX entries from PubMed and Google Scholar searches?▼

You can generate BibTeX entries by running multi-source queries through Google Scholar and PubMed. The Skill automates citation discovery, extracts core metadata, normalizes author lists and DOIs, and outputs properly formatted BibTeX entries for your bibliography.

What is the best way to extract metadata and format citations for a literature review?▼

The best way to extract metadata for a literature review is to use a tool that queries CrossRef and scholarly databases to collect, format, and validate citations automatically, ensuring reproducible bibliographies with minimal manual effort.

Can I validate DOIs and check for duplicate citations before submitting a manuscript?▼

Yes, you can validate DOIs and check for duplicate citations. The Skill includes quality assurance features that clean BibTeX entries, validate DOI accuracy against CrossRef metadata, and remove duplicates for seamless manuscript submission.

Do I need Python and the scholarly package to search Google Scholar for citations?▼

Yes, you need Python with the scholarly and requests packages installed. These dependencies power the automated search queries across Google Scholar and PubMed, enabling the retrieval of accurate citation details via public APIs.

How does automated citation management normalize author lists and journal titles from CrossRef?▼

Automated citation management normalizes metadata by querying CrossRef APIs to retrieve accurate citation details. It standardizes inconsistent author lists, titles, journals, years, and DOIs into a unified format before BibTeX generation.

Limitations of using public APIs for PubMed metadata extraction and BibTeX generation?▼

Limitations of using public APIs for metadata extraction include dependency on API rate limits and potential query restrictions. While it automates discovery and BibTeX formatting, heavy automated queries to Google Scholar or PubMed may encounter access throttling.