citation-management
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
npx skills add majiayu000/claude-skill-registry --skill citation-management-k-dense-ai-claude-scientific-sk --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Manage citations systematically throughout the research and writing process. This skill provides tools and strategies for searching academic databases (Google Scholar, PubMed), extracting accurate metadata from multiple sources (CrossRef, PubMed, arXiv), validating citation information, and generating properly formatted BibTeX entries.
How it works
- Phase 1: Paper Discovery and Search
- Google Scholar Search: runs Python scripts (e.g., scripts/search_google_scholar.py) with query strings and optional year filters, outputs results to JSON files.
- PubMed Search: runs Python scripts (e.g., scripts/search_pubmed.py) with queries, limits, and outputs to JSON.
- Phase 2: Metadata Extraction
- Convert identifiers (DOI, PMID, arXiv ID) or URLs to complete metadata using scripts like scripts/extract_metadata.py and scripts/doi_to_bibtex.py.
- Supports sources: CrossRef API, PubMed E-utilities, arXiv API, DataCite API for various item types.
- Extracted fields include author, title, year, journal, volume, number, pages, DOI, abstract, keywords, URL, etc.
- Phase 3: BibTeX Formatting
- Generate BibTeX entries for common types (@article, @inproceedings, @book).
- Use formatting tools to format, sort, deduplicate, and validate BibTeX via scripts/format_bibtex.py with options like --output, --sort, --deduplicate, --validate.
- Phase 4: Citation Validation
- Validate BibTeX with scripts/validate_citations.py, optionally auto-fix, and produce reports (validation_report.json).
- Validation checks include DOI verification, required fields, data consistency, duplicate detection, and format compliance.
- Phase 5: Integration with Writing Workflow
- Build references for manuscripts by combining search, metadata extraction, BibTeX formatting, and final validation, then integrate into LaTeX with \bibliography{final_references}.
- Can integrate with literature-review workflows to verify citations in reviews and format per style requirements.
When to use it
Use when searching for papers on Google Scholar or PubMed, converting DOIs/PMIDs/arXiv IDs to BibTeX, extracting complete citation metadata, validating and cleaning BibTeX, or building a bibliography for manuscripts and theses.
What it can touch
- Tools: Read, Write, Edit, Bash
- Scripts: python scripts/search_google_scholar.py, python scripts/search_pubmed.py, python scripts/doi_to_bibtex.py, python scripts/extract_metadata.py, python scripts/format_bibtex.py, python scripts/validate_citations.py
- Outputs: BibTeX files (references.bib, final_references.bib), JSON reports (validation_report.json)
Caveats
- License: MIT License
- Validation outputs include sample JSON showing total_entries, valid_entries, errors, warnings; actual counts depend on dataset.
- Requires access to external APIs (CrossRef, PubMed, arXiv) and network access for metadata retrieval.
# Citation Management ## Overview Manage citations systematically throughout the research and writing process. This skill provides tools and strategies for searching academic databases (Google Scholar, PubMed), extracting accurate metadata from multiple sources (CrossRef, PubMed, arXiv), validating citation information, and generating properly formatted BibTeX entries. Critical for maintaining citation accuracy, avoiding reference errors, and ensuring reproducible research. Integrates seamlessly with the literature-review skill for comprehensive research workflows. ## When to Use This Skill Use this skill when: - Searching for specific papers on Google Scholar or PubMed - Converting DOIs, PMIDs, or arXiv IDs to properly formatted BibTeX - Extracting complete metadata for citations (authors, title, journal, year, etc.) - Validating existing citations for accuracy - Cleaning and formatting BibTeX files - Finding highly cited papers in a specific field - Verifying that citation information matches the actual publication - Building a bibliography for a manuscript or thesis - Checking for duplicate citations - Ensuring consistent citation formatting ## Visual Enhancement with Scientific
- Overview
- When to Use This Skill
- Visual Enhancement with Scientific Schematics
- Core Workflow
- Phase 1: Paper Discovery and Search
- Phase 2: Metadata Extraction
- Phase 3: BibTeX Formatting
- Phase 4: Citation Validation
- Phase 5: Integration with Writing Workflow
- Search Strategies
- Google Scholar Best Practices
- PubMed Best Practices
- Tools and Scripts
- searchgooglescholar.py
python scripts/generate_schematic.py "your diagram description" -o figures/output.png Search for papers on a topic python scripts/search_google_scholar.py "CRISPR gene editing" \ Search with year filter python scripts/search_google_scholar.py "machine learning protein folding" \ Search PubMed python scripts/search_pubmed.py "Alzheimer's disease treatment" \ Search with MeSH terms and filters python scripts/search_pubmed.py \ Convert single DOI
What does the citation-management skill do?
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill citation-management-k-dense-ai-claude-scientific-sk --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 majiayu000/claude-skill-registry, a repository with 534 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.