citation-management
Comprehensive citation management for academic research.
Skill by CliffVale
Install
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npx agentmarket install skill/cliffvale-citation-management
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About
Use cases: writing, research
Reviews
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What's inside
- Skill name
citation-management- 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.
- License
- MIT
- 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.
- Allowed tools
- Read, Write, Edit, Bash, WebSearch, WebFetch
- Metadata
- version: 2.0 · skill-author: K-Dense Inc.
- Instructions
- 319 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves any shell command
Files (21)
- SKILL.md
- bibtex_template.bib · assets/
- citation_checklist.md · assets/
- best_practices.md · references/
- bibtex_formatting.md · references/
- citation_validation.md · references/
- core_workflow.md · references/
- example_workflows.md · references/
- google_scholar_search.md · references/
- metadata_extraction.md · references/
- pubmed_search.md · references/
- script_reference.md · references/
- search_strategies.md · references/
- _common.py · scripts/
- doi_to_bibtex.py · scripts/
- extract_metadata.py · scripts/
- format_bibtex.py · scripts/
- search_google_scholar.py · scripts/
- search_openalex.py · scripts/
- search_pubmed.py · scripts/
- validate_citations.py · scripts/
SKILL.md (first lines)
## Python Environment This skill runs on the shared office-skills venv. Use these EXACTLY when running Python: - Interpreter: `~/.local/share/office-skills/.venv/bin/python3` - Install missing packages: `uv pip install --python ~/.local/share/office-skills/.venv/bin/python <pkg>` - System `python3` does NOT have these packages (externally-managed, no pip --user). Never use bare `python`, `python3`, or `pip install` for this skill's scripts unless an explicit system tool (e.g. `soffice`, `markitdown` CLI) is required. # 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
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 24, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 2.0
- License
- MIT
- Repository
- github.com/CliffVale/opencode-free-setup
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
citation-management skill. Agent Mart. https://agentmart.dev/skills/cliffvale-citation-management (last updated 2026-10-24)