citation-management

This skill acts as an intelligent research assistant specialized in the systematic organization and management of academic literature. It streamlines the entire citation lifecycle, from initial paper discovery in massive academic databases like Google Scholar and PubMed to the final generation of publication-ready bibliographies. It is designed for researchers, graduate students, and technical writers who need to ensure high-fidelity reference tracking while maintaining compliance with academic standards.

The skill leverages robust metadata extraction engines to resolve unique publication identifiers, including DOIs, PMIDs, and arXiv IDs, into structured, machine-readable BibTeX entries. By automating the verification of publication information—such as author lists, journal titles, volume numbers, and publication dates—it helps users eliminate common manual entry errors and duplicates. Furthermore, it integrates with specialized visual communication tools to suggest the generation of scientific schematics, flowcharts, or diagrams that complement the cited research, ensuring a high-quality, professional document output.

• Advanced searching via Google Scholar and PubMed with support for Boolean operators, MeSH terms, year filtering, and citation count analysis.

• Automated metadata extraction and conversion of DOIs, PMIDs, and arXiv IDs into standard BibTeX, JSON, or CSV formats.

• Real-time validation of existing reference lists to ensure consistency and cross-check against actual publication records.

• Batch processing capabilities for handling large literature reviews or manuscript bibliographies.

• Workflow integration with scientific-schematics to visually represent literature methodology or reference architectures.

• Cleaning and normalization of legacy BibTeX files to meet specific journal submission requirements.

• Always verify extracted metadata against the original source when dealing with pre-print or non-standard identifiers.

• Use the provided search scripts for targeted queries (e.g., specifying publication date ranges) to optimize result relevance.

• When generating bibliographies, ensure the BibTeX key naming convention is consistent throughout your workspace.

• Integrate this skill with the broader suite of research skills to automate literature reviews from discovery to final formatting.

• The output is highly compatible with LaTeX-based writing workflows and standard reference managers like Zotero or Mendeley.