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-wr-2 --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 — uses Google Scholar and PubMed searches with basic and advanced queries, exporting results to JSON files.
- Phase 2: Metadata Extraction — converts paper identifiers (DOI, PMID, arXiv ID) to complete metadata using dedicated scripts; supports extraction from DOI, PMID, arXiv, and URL; pulls data from CrossRef, PubMed E-utilities, arXiv, and DataCite.
- Phase 2.5: Metadata Enrichment via Web Search (MANDATORY) — scans for incomplete BibTeX entries and fills missing fields by web searches using multiple options (title/author search, DOI page extraction, CrossRef search, Google Scholar search); logs fixes and handles unresolved cases with notes.
- Phase 3: BibTeX Formatting — formats BibTeX entries, supports common types (@article, @inproceedings, @book, etc.), and provides commands to format, sort, deduplicate, and validate entries.
- Phase 4: Citation Validation — validates DOIs, required fields, data consistency, duplicates, and format compliance; can auto-fix and produce validation reports.
- Phase 5: Integration with Writing Workflow — end-to-end workflow for building references, including search, metadata extraction, formatting, and validation steps.
When to use this skill
Use when:
- Searching for papers on Google Scholar or PubMed
- Converting DOIs, PMIDs, or arXiv IDs to BibTeX
- Extracting complete metadata for citations
- Validating existing citations for accuracy
- Cleaning and formatting BibTeX files
- Building a bibliography for a manuscript or thesis
- Verifying that citation information matches the actual publication
- Checking for duplicate citations
- Ensuring consistent citation formatting
What it can touch
- Tools listed: Read, Write, Edit, Bash
- Commands and scripts referenced (e.g., python scripts/search_google_scholar.py, python scripts/doi_to_bibtex.py, python scripts/extract_metadata.py, python scripts/parallel_web.py, python scripts/format_bibtex.py, python scripts/validate_citations.py)
Caveats
- License: MIT
- Phase-specific caveats include potential metadata gaps requiring web enrichment; unresolved cases may require notes indicating online-only publication or missing fields
- Requires access to external services and APIs (CrossRef, PubMed, Google Scholar) as described in the workflow
# 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 2.5: Metadata Enrichment via Web Search (MANDATORY)
- 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
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-wr-2 --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.