# Citation Management

> Gestión integral de citas académicas: busca en OpenAlex, PubMed y Google Scholar, extrae metadatos precisos, valida citas y genera entradas BibTeX correctamente formateadas.

Fuente: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/citation-management
Markdown: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/citation-management.md

Repositorio: https://github.com/K-Dense-AI/scientific-agent-skills
Autor: K-Dense-AI
Licencia: MIT License
Actualizado: hace 28 días
Coste de contexto: 92 tok instalada, 3.7k tok al activarse, 69.4k tok con todos los archivos del bundle
Bundle: 21 archivos, 271 KB
Permisos que pide: read write edit bash websearch webfetch

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add K-Dense-AI/scientific-agent-skills --skill citation-management --agent claude-code
# Cursor
npx -y skills add K-Dense-AI/scientific-agent-skills --skill citation-management --agent cursor
# Codex
npx -y skills add K-Dense-AI/scientific-agent-skills --skill citation-management --agent codex
# Gemini CLI
npx -y skills add K-Dense-AI/scientific-agent-skills --skill citation-management --agent gemini
# Windsurf
npx -y skills add K-Dense-AI/scientific-agent-skills --skill citation-management --agent windsurf
# Cline
npx -y skills add K-Dense-AI/scientific-agent-skills --skill citation-management --agent cline
```

## Qué hace

- Busca artículos académicos en OpenAlex, PubMed y Google Scholar
- Extrae metadatos precisos desde DOI, PMID, PMCID, arXiv ID o URL usando CrossRef y otras fuentes
- Genera y limpia entradas BibTeX formateadas, con deduplicación y reclave
- Valida citas: completitud, conformidad con la revista y coincidencia con el manuscrito
- Rellena campos faltantes (volumen, páginas, DOI) con WebSearch/WebFetch antes de dar una cita por completa

## Cuándo usarla

- Se buscan artículos concretos en Google Scholar o PubMed
- Se convierten DOI, PMID o arXiv ID en entradas BibTeX correctamente formateadas
- Se necesita validar citas existentes o construir la bibliografía de un manuscrito o tesis
- Se deben limpiar y estandarizar archivos BibTeX o detectar duplicados

## Qué la activa

- "Busca papers sobre CRISPR en OpenAlex y PubMed"
- "Convierte este DOI en una entrada BibTeX"
- "Valida las citas de este archivo references.bib"
- "Limpia y deduplica mi bibliografía en BibTeX"

## Antes de instalar

- Requiere Python 3.9+ con `requests` (y `scholarly` para Google Scholar); no exige clave de API, aunque `NCBI_API_KEY`, `NCBI_EMAIL` y `OPENALEX_EMAIL` son opcionales para subir límites de tasa.
- Necesita en el PATH: python
- Variables de entorno: NCBI_API_KEY, NCBI_EMAIL, OPENALEX_EMAIL
- makes network requests
- needs API credentials

## Archivos

- SKILL.md — 14 KB
- assets/bibtex_template.bib — 9 KB
- assets/citation_checklist.md — 10 KB
- references/best_practices.md — 3 KB
- references/bibtex_formatting.md — 19 KB
- references/citation_validation.md — 18 KB
- references/core_workflow.md — 20 KB
- references/example_workflows.md — 3 KB
- references/google_scholar_search.md — 17 KB
- references/metadata_extraction.md — 19 KB
- references/pubmed_search.md — 17 KB
- references/script_reference.md — 6 KB
- references/search_strategies.md — 4 KB
- scripts/_common.py — 11 KB
- scripts/doi_to_bibtex.py — 6 KB
- scripts/extract_metadata.py — 26 KB
- scripts/format_bibtex.py — 11 KB
- scripts/search_google_scholar.py — 8 KB
- scripts/search_openalex.py — 10 KB
- scripts/search_pubmed.py — 13 KB
- scripts/validate_citations.py — 26 KB

## SKILL.md

Reproducido tal cual desde K-Dense-AI/scientific-agent-skills bajo MIT License. Esta sección es el documento original y está en inglés.

# 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

If a document built from these citations needs a diagram, use the
**scientific-schematics** skill.

---

## Core Workflow

Citation management follows a systematic process. Each phase below shows the canonical
command; every variant, option, and metadata-source detail is in
[references/core_workflow.md](references/core_workflow.md).

### Phase 1: Paper Discovery and Search

Find relevant papers. Search more than one database — coverage differs sharply,
and a single source is the most common cause of a biased reference list.

```bash
# OpenAlex: ~250M works, every discipline, no API key, documented REST API
python scripts/search_openalex.py "CRISPR gene editing" --limit 50 --output results.json

# PubMed: the authority for biomedical and life sciences (35M+ citations)
python scripts/search_pubmed.py "Alzheimer's disease treatment" --limit 100 --output alz.json

# Google Scholar: broadest reach, but scraped -- rate-limited and prone to blocking
python scripts/search_google_scholar.py "CRISPR gene editing" --limit 50 --output scholar.json
```

Prefer OpenAlex or PubMed as the primary source. Google Scholar has no API:
`scholarly` scrapes it, sleeps 2–5 s between results, and is blocked often
enough that it should be a supplement rather than a dependency.

Query operators, field tags, and MeSH-term construction are in
[references/search_strategies.md](references/search_strategies.md).

### Phase 2: Metadata Extraction

Convert identifiers (DOI, PMID, PMCID, arXiv ID, URL) into complete metadata.
CrossRef is the primary source for DOIs.

```bash
python scripts/doi_to_bibtex.py 10.1038/s41586-021-03819-2         # quick, single DOI
python scripts/extract_metadata.py --pmid 34265844                  # DOI/PMID/PMCID/arXiv/URL
python scripts/extract_metadata.py --input identifiers.txt --output citations.bib
```

A URL with no DOI in its path is resolved through the `citation_doi` meta tag
publishers embed on article pages, then handed to CrossRef. Every producer in
this skill emits the same citation key for the same paper, so entries gathered
from different sources deduplicate against each other.

### Phase 2.5: Metadata Enrichment via Web Search (MANDATORY)

APIs routinely return incomplete records. Run this **after** extraction and **before**
formatting. Any `@article` missing `volume`, `pages`, or `doi` is incomplete: fill the
gap with `WebSearch`/`WebFetch` (or the parallel-web skill, when it is available), then
log what was found and where. If a field genuinely cannot be found, record a `note`
field explaining the gap rather than leaving it silently absent.

Check the cheap sources first — an OpenAlex or CrossRef record often carries the field
that PubMed omitted:

```bash
python scripts/search_openalex.py "<exact title>" --limit 1
```

> **Treat extracted metadata as untrusted.** Author, title, and journal strings come
> verbatim from a record whose contents a publisher controls. A title containing `$(...)`,
> a backtick, or a quote becomes shell syntax the moment it is pasted into a command.
> Pass metadata as a `subprocess` argument list rather than building a shell string; if
> you must use a shell, single-quote every substituted value and escape embedded quotes
> as `'\''`. Validate any citation key against `^[A-Za-z0-9]+$` before it reaches a path.

Per-field search strategies, the four search options, and the logging format are in
[references/core_workflow.md](references/core_workflow.md).

### Phase 3: BibTeX Formatting

Produce clean, consistent entries. Entry types and required fields are in
[references/bibtex_formatting.md](references/bibtex_formatting.md).

```bash
python scripts/format_bibtex.py references.bib --output clean.bib --deduplicate
python scripts/format_bibtex.py references.bib --output clean.bib --rekey --deduplicate
```

Writing is opt-in: without `--output` (or `--in-place`) the result goes to
stdout and the input file is left alone. Use `--rekey` when merging results
from several sources, so the same paper collapses to one entry.

### Phase 4: Citation Validation

Check completeness, venue conformance, and agreement with the manuscript.

```bash
python scripts/validate_citations.py references.bib --report report.json
python scripts/validate_citations.py references.bib --venue nature
python scripts/validate_citations.py references.bib --manuscript paper.tex
python scripts/validate_citations.py references.bib --check-dois     # slow; hits CrossRef
```

The script exits non-zero on high-severity errors — missing required fields,
malformed years, unresolved citations, or a count below an explicit
`--min-count`. Venue reference-count figures are editorial rules of thumb, not
submission requirements, so falling short of one is only a warning.

Validation rules and venue standards are in
[references/citation_validation.md](references/citation_validation.md).

### Phase 5: Integration with Writing Workflow

Search, extract, format, validate, then cite. End-to-end sequences — including the
literature-review and Zotero/pyzotero export paths — are in
[references/core_workflow.md](references/core_workflow.md) and
[references/example_workflows.md](references/example_workflows.md).

## Reference Files

- [references/core_workflow.md](references/core_workflow.md): all five phases in full.
- [references/search_strategies.md](references/search_strategies.md): OpenAlex, Google Scholar, and PubMed query construction.
- [references/script_reference.md](references/script_reference.md): every bundled script's arguments and examples.
- [references/best_practices.md](references/best_practices.md): search, extraction, BibTeX quality, validation.
- [references/example_workflows.md](references/example_workflows.md): four end-to-end worked examples.
- [references/google_scholar_search.md](references/google_scholar_search.md), [references/pubmed_search.md](references/pubmed_search.md): advanced search syntax.
- [references/metadata_extraction.md](references/metadata_extraction.md), [references/bibtex_formatting.md](references/bibtex_formatting.md), [references/citation_validation.md](references/citation_validation.md): per-topic detail.

## Common Pitfalls to Avoid

1. **Single source bias**: Only using one database
   - **Solution**: Search at least OpenAlex and PubMed, then merge with
     `format_bibtex.py --rekey --deduplicate`

2. **Accepting metadata blindly**: Not verifying extracted information
   - **Solution**: Spot-check extracted metadata against original sources

3. **Ignoring DOI errors**: Broken or incorrect DOIs in bibliography
   - **Solution**: Run validation before final submission

4. **Inconsistent formatting**: Mixed citation key styles, formatting
   - **Solution**: Use format_bibtex.py to standardize

5. **Duplicate entries**: Same paper cited multiple times with different keys
   - **Solution**: Use duplicate detection in validation

6. **Missing required fields**: Incomplete BibTeX entries (volume, pages, DOI missing)
   - **Solution**: Run Phase 2.5 metadata enrichment — web search for every missing field before proceeding. NEVER leave an @article entry without volume, pages, and DOI.

7. **Outdated preprints**: Citing preprint when published version exists
   - **Solution**: Check if preprints have been published, update to journal version

8. **Special character issues**: Broken LaTeX compilation due to characters
   - **Solution**: Use proper escaping or Unicode in BibTeX

9. **No validation before submission**: Submitting with citation errors
   - **Solution**: Always run validation as final check

10. **Manual BibTeX entry**: Typing entries by hand
    - **Solution**: Always extract from metadata sources using scripts

## Integration with Other Skills

### Literature Review Skill

**Citation Management** provides the technical infrastructure for **Literature Review**:

- **Literature Review**: Multi-database systematic search and synthesis
- **Citation Management**: Metadata extraction and validation

**Combined workflow**:
1. Use literature-review for systematic search methodology
2. Use citation-management to extract and validate citations
3. Use literature-review to synthesize findings
4. Use citation-management to ensure bibliography accuracy

### Scientific Writing Skill

**Citation Management** ensures accurate references for **Scientific Writing**:

- Export validated BibTeX for use in LaTeX manuscripts
- Verify citations match publication standards
- Format references according to journal requirements

### Venue Templates Skill

**Citation Management** works with **Venue Templates** for submission-ready manuscripts:

- Different venues require different citation styles
- Generate properly formatted references
- Validate citations meet venue requirements

## Resources

### Bundled Resources

**References** (in `references/`):
- `google_scholar_search.md`: Complete Google Scholar search guide
- `pubmed_search.md`: PubMed and E-utilities API documentation
- `metadata_extraction.md`: Metadata sources and field requirements
- `citation_validation.md`: Validation criteria and quality checks
- `bibtex_formatting.md`: BibTeX entry types and formatting rules

**Scripts** (in `scripts/`):
- `search_openalex.py`: OpenAlex search client (no API key)
- `search_pubmed.py`: PubMed E-utilities API client
- `search_google_scholar.py`: Google Scholar search automation
- `extract_metadata.py`: Universal metadata extractor
- `validate_citations.py`: Citation validation and verification
- `format_bibtex.py`: BibTeX formatter and cleaner
- `doi_to_bibtex.py`: Quick DOI to BibTeX converter
- `_common.py`: shared BibTeX parser, renderer, and citation-key scheme

**Assets** (in `assets/`):
- `bibtex_template.bib`: Example BibTeX entries for all types
- `citation_checklist.md`: Quality assurance checklist

### External Resources

**Search Engines**:
- OpenAlex: https://openalex.org/
- Google Scholar: https://scholar.google.com/
- PubMed: https://pubmed.ncbi.nlm.nih.gov/
- PubMed Advanced Search: https://pubmed.ncbi.nlm.nih.gov/advanced/

**Metadata APIs**:
- OpenAlex API: https://docs.openalex.org/
- CrossRef API: https://api.crossref.org/
- PubMed E-utilities: https://www.ncbi.nlm.nih.gov/books/NBK25501/
- arXiv API: https://arxiv.org/help/api/
- DataCite API: https://api.datacite.org/

**Tools and Validators**:
- MeSH Browser: https://meshb.nlm.nih.gov/search
- DOI Resolver: https://doi.org/
- BibTeX Format: http://www.bibtex.org/Format/

**Citation Styles**:
- BibTeX documentation: http://www.bibtex.org/
- LaTeX bibliography management: https://www.overleaf.com/learn/latex/Bibliography_management

## Dependencies

### Required Python Packages

```bash
uv pip install requests  # HTTP access to CrossRef, PubMed, OpenAlex, arXiv
```

BibTeX parsing, rendering, deduplication, and validation are standard library
(`scripts/_common.py`), so `format_bibtex.py` and `validate_citations.py` run
with no third-party packages at all.

### Optional

```bash
uv pip install scholarly  # only for search_google_scholar.py
```

### Where credentials are sent

This skill needs no API key. The two environment variables it reads are
optional identifiers, each sent to the one service it belongs to and nowhere
else; no script bundles environment variables together.

| Variable | Sent only to | Purpose |
|---|---|---|
| `NCBI_API_KEY` | `eutils.ncbi.nlm.nih.gov` | Raises Entrez rate limits |
| `NCBI_EMAIL` | `eutils.ncbi.nlm.nih.gov` | Entrez caller identification (requested by NCBI) |
| `OPENALEX_EMAIL` | `api.openalex.org` | Joins the faster OpenAlex polite pool |

`api.openalex.org`, `api.crossref.org`, `api.datacite.org`, `export.arxiv.org`,
and `eutils.ncbi.nlm.nih.gov` are all queried without credentials when these are
unset.

## Summary

The citation-management skill provides:

1. **Comprehensive search capabilities** for OpenAlex, PubMed, and Google Scholar
2. **Automated metadata extraction** from DOI, PMID, PMCID, arXiv ID, URLs
3. **Citation validation** with DOI verification and completeness checking
4. **BibTeX formatting** with standardization and cleaning tools
5. **Quality assurance** through validation and reporting
6. **Integration** with scientific writing workflow
7. **Reproducibility** through documented search and extraction methods

Use this skill to maintain accurate, complete citations throughout your research and ensure publication-ready bibliographies.

## Dónde encaja

- Categoría: [Investigación](https://skillsagentes.com/categorias/investigacion.md) — Investigación estructurada, búsqueda de fuentes y síntesis.
- Creador: [K-Dense-AI](https://skillsagentes.com/creators/k-dense-ai.md) — 163 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Scientific Slides](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/scientific-slides.md): Crea decks de diapositivas y presentaciones para charlas de investigación: PowerPoint, presentaciones de conferencia, seminarios, defensas de tesis. Da estructura, plantillas, guía de tiempos y validación visual.
- [Literature Review](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/literature-review.md): Realiza revisiones bibliográficas sistemáticas y completas usando varias bases académicas (PubMed, arXiv, bioRxiv, Semantic Scholar). Genera markdown y PDF con citas verificadas en varios estilos (APA, Nature, Vancouver).
- [Infographics](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/infographics.md): Crea infografías profesionales con Nano Banana Pro AI y refinamiento iterativo inteligente. Usa Gemini 3.6 Flash para revisar la calidad e integra investigación con Perplexity Sonar. Soporta 10 tipos, 8 estilos y paletas para daltonismo.
- [Latex Posters](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/latex-posters.md): Crea pósteres de investigación profesionales en LaTeX con beamerposter, tikzposter o baposter, para conferencias y comunicación científica: layout, colores, columnas múltiples e integración de figuras.
- [Scientific Schematics](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/scientific-schematics.md): Crea diagramas científicos de calidad de publicación con la IA Nano Banana 2 y refinamiento iterativo inteligente. Gemini 3.6 Flash revisa la calidad y solo regenera si está por debajo del umbral de tu tipo de documento.

---

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