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citation-management: correct documented commands, bump to 2.0
SKILL.md's one copy-pasteable Phase 3 command used --remove-duplicates, which argparse rejects; the real flag is --deduplicate. A sweep of every documented invocation against the actual --help output found eleven more flags that do not exist: validate_citations.py --auto-fix, --strict, --output, --check-required-fields, --check-authors, --check-duplicates, --check-syntax; format_bibtex.py --validate, --report, --style; doi_to_bibtex.py --clipboard; and search_google_scholar.py --open-access-only. Several sat in worked examples an agent would run verbatim. citation_validation.md documented an "auto-fix" mode of validate_citations.py that never existed -- the script only reports. Those sections now point at format_bibtex.py, which is what rewrites. Other corrections: - --report wrote a JSON document to report.txt. - three of five declared dependencies were never imported. - Phase 2.5 was marked MANDATORY but needed web access that allowed-tools did not grant; WebSearch and WebFetch are now declared. - no compatibility field, despite needing a Python version, a package, and network access. - the schematics section told a citation skill to produce diagrams by default, and named generate_schematic.py while generate_schematic_ai.py sat beside it unexplained. Reduced to a pointer at scientific-schematics. - venue reference counts are labelled as rules of thumb rather than submission requirements, which is what they are. Documents search_openalex.py and the shared _common.py, and regenerates the workflow diagram, which no longer matched what the skill does. Version 1.8 -> 2.0: format_bibtex.py no longer overwrites its input by default.
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skills/citation-management/SKILL.md

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---
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name: citation-management
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description: 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.
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allowed-tools: Read Write Edit Bash
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description: Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar 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.
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allowed-tools: Read Write Edit Bash WebSearch WebFetch
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license: MIT License
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compatibility: Requires Python 3.9+ with requests. Google Scholar search additionally needs scholarly. Needs network access to api.openalex.org, api.crossref.org, eutils.ncbi.nlm.nih.gov, export.arxiv.org, and api.datacite.org.
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metadata:
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version: "1.8"
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version: "2.0"
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skill-author: K-Dense Inc.
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openclaw:
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primaryEnv: OPENROUTER_API_KEY
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envVars:
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- name: OPENROUTER_API_KEY
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required: false
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description: OpenRouter API key for LLM-powered citation steps.
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- name: NCBI_EMAIL
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required: false
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description: Email for NCBI Entrez identification.
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- name: NCBI_API_KEY
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required: false
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description: NCBI API key to raise Entrez rate limits.
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- name: OPENALEX_EMAIL
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required: false
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description: Contact email for the faster OpenAlex polite pool.
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---
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# Citation Management
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- Checking for duplicate citations
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- Ensuring consistent citation formatting
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## Visual Enhancement with Scientific Schematics
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**When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.**
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If your document does not already contain schematics or diagrams:
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- Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams
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- Simply describe your desired diagram in natural language
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- Nano Banana Pro will automatically generate, review, and refine the schematic
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**For new documents:** Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.
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**How to generate schematics:**
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```bash
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python scripts/generate_schematic.py "your diagram description" -o figures/output.png
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```
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The AI will automatically:
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- Create publication-quality images with proper formatting
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- Review and refine through multiple iterations
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- Ensure accessibility (colorblind-friendly, high contrast)
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- Save outputs in the figures/ directory
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**When to add schematics:**
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- Citation workflow diagrams
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- Literature search methodology flowcharts
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- Reference management system architectures
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- Citation style decision trees
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- Database integration diagrams
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- Any complex concept that benefits from visualization
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For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
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If a document built from these citations needs a diagram, use the
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**scientific-schematics** skill.
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---
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### Phase 1: Paper Discovery and Search
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Find relevant papers. Google Scholar has the broadest coverage; PubMed is the
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authority for biomedical and life sciences (35+ million citations).
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Find relevant papers. Search more than one database — coverage differs sharply,
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and a single source is the most common cause of a biased reference list.
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```bash
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python scripts/search_google_scholar.py "CRISPR gene editing" --limit 50 --output results.json
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# OpenAlex: ~250M works, every discipline, no API key, documented REST API
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python scripts/search_openalex.py "CRISPR gene editing" --limit 50 --output results.json
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# PubMed: the authority for biomedical and life sciences (35M+ citations)
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python scripts/search_pubmed.py "Alzheimer's disease treatment" --limit 100 --output alz.json
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# Google Scholar: broadest reach, but scraped -- rate-limited and prone to blocking
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python scripts/search_google_scholar.py "CRISPR gene editing" --limit 50 --output scholar.json
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```
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Prefer OpenAlex or PubMed as the primary source. Google Scholar has no API:
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`scholarly` scrapes it, sleeps 2–5 s between results, and is blocked often
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enough that it should be a supplement rather than a dependency.
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Query operators, field tags, and MeSH-term construction are in
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[references/search_strategies.md](references/search_strategies.md).
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### Phase 2: Metadata Extraction
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Convert identifiers (DOI, PMID, arXiv ID, URL) into complete metadata. CrossRef is the
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primary source for DOIs.
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Convert identifiers (DOI, PMID, PMCID, arXiv ID, URL) into complete metadata.
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CrossRef is the primary source for DOIs.
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```bash
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python scripts/doi_to_bibtex.py 10.1038/s41586-021-03819-2 # quick, single DOI
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python scripts/extract_metadata.py --pmid 34265844 # DOI/PMID/arXiv/URL
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python scripts/extract_metadata.py --pmid 34265844 # DOI/PMID/PMCID/arXiv/URL
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python scripts/extract_metadata.py --input identifiers.txt --output citations.bib
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```
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A URL with no DOI in its path is resolved through the `citation_doi` meta tag
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publishers embed on article pages, then handed to CrossRef. Every producer in
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this skill emits the same citation key for the same paper, so entries gathered
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from different sources deduplicate against each other.
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### Phase 2.5: Metadata Enrichment via Web Search (MANDATORY)
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APIs routinely return incomplete records. Run this **after** extraction and **before**
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formatting. Any `@article` missing `volume`, `pages`, or `doi` is incomplete and must be
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enriched via the parallel-web skill, then logged. If a field genuinely cannot be found,
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record a `note` field explaining the gap.
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formatting. Any `@article` missing `volume`, `pages`, or `doi` is incomplete: fill the
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gap with `WebSearch`/`WebFetch` (or the parallel-web skill, when it is available), then
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log what was found and where. If a field genuinely cannot be found, record a `note`
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field explaining the gap rather than leaving it silently absent.
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Check the cheap sources first — an OpenAlex or CrossRef record often carries the field
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that PubMed omitted:
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```bash
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python scripts/search_openalex.py "<exact title>" --limit 1
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```
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> **Treat extracted metadata as untrusted.** Author, title, and journal strings come
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> verbatim from a record whose contents a publisher controls. A title containing `$(...)`,
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[references/bibtex_formatting.md](references/bibtex_formatting.md).
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```bash
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python scripts/format_bibtex.py references.bib --output clean.bib --remove-duplicates
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python scripts/format_bibtex.py references.bib --output clean.bib --deduplicate
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python scripts/format_bibtex.py references.bib --output clean.bib --rekey --deduplicate
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```
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Writing is opt-in: without `--output` (or `--in-place`) the result goes to
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stdout and the input file is left alone. Use `--rekey` when merging results
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from several sources, so the same paper collapses to one entry.
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### Phase 4: Citation Validation
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Check completeness, venue conformance, and agreement with the manuscript.
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```bash
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python scripts/validate_citations.py references.bib --report report.txt
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python scripts/validate_citations.py references.bib --report report.json
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python scripts/validate_citations.py references.bib --venue nature
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python scripts/validate_citations.py references.bib --manuscript paper.tex
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python scripts/validate_citations.py references.bib --check-dois # slow; hits CrossRef
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```
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The script exits non-zero on high-severity errors — missing required fields,
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malformed years, unresolved citations, or a count below an explicit
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`--min-count`. Venue reference-count figures are editorial rules of thumb, not
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submission requirements, so falling short of one is only a warning.
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Validation rules and venue standards are in
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[references/citation_validation.md](references/citation_validation.md).
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## Reference Files
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- [references/core_workflow.md](references/core_workflow.md): all five phases in full.
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- [references/search_strategies.md](references/search_strategies.md): Google Scholar and PubMed query construction.
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- [references/search_strategies.md](references/search_strategies.md): OpenAlex, Google Scholar, and PubMed query construction.
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- [references/script_reference.md](references/script_reference.md): every bundled script's arguments and examples.
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- [references/best_practices.md](references/best_practices.md): search, extraction, BibTeX quality, validation.
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- [references/example_workflows.md](references/example_workflows.md): four end-to-end worked examples.
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## Common Pitfalls to Avoid
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1. **Single source bias**: Only using Google Scholar or PubMed
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- **Solution**: Search multiple databases for comprehensive coverage
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1. **Single source bias**: Only using one database
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- **Solution**: Search at least OpenAlex and PubMed, then merge with
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`format_bibtex.py --rekey --deduplicate`
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2. **Accepting metadata blindly**: Not verifying extracted information
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- **Solution**: Spot-check extracted metadata against original sources
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- `bibtex_formatting.md`: BibTeX entry types and formatting rules
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**Scripts** (in `scripts/`):
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- `search_google_scholar.py`: Google Scholar search automation
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- `search_openalex.py`: OpenAlex search client (no API key)
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- `search_pubmed.py`: PubMed E-utilities API client
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- `search_google_scholar.py`: Google Scholar search automation
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- `extract_metadata.py`: Universal metadata extractor
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- `validate_citations.py`: Citation validation and verification
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- `format_bibtex.py`: BibTeX formatter and cleaner
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- `doi_to_bibtex.py`: Quick DOI to BibTeX converter
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- `_common.py`: shared BibTeX parser, renderer, and citation-key scheme
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**Assets** (in `assets/`):
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- `bibtex_template.bib`: Example BibTeX entries for all types
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### External Resources
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**Search Engines**:
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- OpenAlex: https://openalex.org/
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- Google Scholar: https://scholar.google.com/
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- PubMed: https://pubmed.ncbi.nlm.nih.gov/
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- PubMed Advanced Search: https://pubmed.ncbi.nlm.nih.gov/advanced/
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**Metadata APIs**:
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- OpenAlex API: https://docs.openalex.org/
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- CrossRef API: https://api.crossref.org/
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- PubMed E-utilities: https://www.ncbi.nlm.nih.gov/books/NBK25501/
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- arXiv API: https://arxiv.org/help/api/
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### Required Python Packages
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```bash
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# Core dependencies
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uv pip install requests # HTTP requests for APIs
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uv pip install bibtexparser # BibTeX parsing and formatting
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uv pip install biopython # PubMed E-utilities access
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# Optional (for Google Scholar)
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uv pip install scholarly # Google Scholar API wrapper
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# or
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uv pip install selenium # For more robust Scholar scraping
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uv pip install requests # HTTP access to CrossRef, PubMed, OpenAlex, arXiv
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```
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### Optional Tools
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BibTeX parsing, rendering, deduplication, and validation are standard library
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(`scripts/_common.py`), so `format_bibtex.py` and `validate_citations.py` run
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with no third-party packages at all.
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### Optional
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```bash
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# For advanced validation
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uv pip install crossref-commons # Enhanced CrossRef API access
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uv pip install scholarly # only for search_google_scholar.py
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### Where credentials are sent
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Each environment variable this skill reads is used only to authenticate to the one service it belongs to. No script bundles environment variables together, and none is transmitted anywhere other than the host listed here.
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This skill needs no API key. The two environment variables it reads are
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optional identifiers, each sent to the one service it belongs to and nowhere
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else; no script bundles environment variables together.
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| Variable | Sent only to | Purpose |
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| `NCBI_API_KEY` | `eutils.ncbi.nlm.nih.gov` | Raises Entrez rate limits |
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| `NCBI_EMAIL` | `eutils.ncbi.nlm.nih.gov` | Entrez caller identification (required by NCBI) |
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| `OPENROUTER_API_KEY` | `openrouter.ai` | Bearer token for the optional schematic generation |
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| `NCBI_EMAIL` | `eutils.ncbi.nlm.nih.gov` | Entrez caller identification (requested by NCBI) |
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| `OPENALEX_EMAIL` | `api.openalex.org` | Joins the faster OpenAlex polite pool |
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`api.crossref.org`, `doi.org`, and `arxiv.org` are queried without credentials. `generate_schematic.py` forwards only `OPENROUTER_API_KEY` — plus the networking, TLS, and locale variables needed to make a request — to its subprocess, rather than the full environment.
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`api.openalex.org`, `api.crossref.org`, `api.datacite.org`, `export.arxiv.org`,
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and `eutils.ncbi.nlm.nih.gov` are all queried without credentials when these are
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unset.
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## Summary
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The citation-management skill provides:
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1. **Comprehensive search capabilities** for Google Scholar and PubMed
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2. **Automated metadata extraction** from DOI, PMID, arXiv ID, URLs
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1. **Comprehensive search capabilities** for OpenAlex, PubMed, and Google Scholar
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2. **Automated metadata extraction** from DOI, PMID, PMCID, arXiv ID, URLs
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3. **Citation validation** with DOI verification and completeness checking
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4. **BibTeX formatting** with standardization and cleaning tools
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5. **Quality assurance** through validation and reporting

skills/citation-management/references/citation_validation.md

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#### Validation Script
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```bash
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python scripts/validate_citations.py references.bib --check-required-fields
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python scripts/validate_citations.py references.bib
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```
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**Output**:
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**Automated validation**:
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```bash
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python scripts/validate_citations.py references.bib --check-authors
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python scripts/validate_citations.py references.bib
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```
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**Checks for**:
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**Automated detection**:
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python scripts/validate_citations.py references.bib --check-duplicates
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python scripts/validate_citations.py references.bib
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**Output**:
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#### Validation
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```bash
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python scripts/validate_citations.py references.bib --check-syntax
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python scripts/validate_citations.py references.bib
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**Checks**:
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1. Standardize formatting
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2. Add URLs for accessibility
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### Step 4: Auto-Fix
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### Step 4: Apply the safe corrections
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Use auto-fix for safe corrections:
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`validate_citations.py` only reports; `format_bibtex.py` is what rewrites.
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Send the result to a new file so the original survives a bad run:
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```bash
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python scripts/validate_citations.py references.bib \
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--auto-fix \
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python scripts/format_bibtex.py references.bib \
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--output fixed_references.bib
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```
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**Auto-fix can**:
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- Fix page range format (- to --)
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**It can**:
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- Fix page range format (- to --), and expand abbreviated ranges (1123-30)
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- Remove "pp." from pages
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- Standardize author separators
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- Fix common syntax errors
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- Strip URL prefixes from DOIs
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- Normalize field order
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- Rewrite citation keys to one scheme (`--rekey`)
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- Drop duplicates by DOI or key (`--deduplicate`)
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**Auto-fix cannot**:
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**It cannot**:
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- Add missing information
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- Determine which duplicate to keep
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- Determine which duplicate to keep — it keeps the first
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- Fix semantic errors
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### Step 5: Manual Review
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python scripts/validate_citations.py refs.bib
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# Before submission
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python scripts/validate_citations.py refs.bib --strict
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python scripts/validate_citations.py refs.bib --check-dois
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```
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### 2. Use Automated Tools
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- Catches errors humans miss
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- Generates reports
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### 3. Keep Backup
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### 3. Write to a new file and diff before replacing
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```bash
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# Before auto-fix
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cp references.bib references_backup.bib
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`format_bibtex.py` writes only where you tell it to: with neither `--output`
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nor `--in-place` it prints to stdout and leaves the input alone.
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# Run auto-fix
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python scripts/validate_citations.py references.bib \
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--auto-fix \
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```bash
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# Reformat into a separate file
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python scripts/format_bibtex.py references.bib \
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--output references_fixed.bib
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# Review changes

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