skills/43-wentorai-research-plugins/skills/writing/citation/jabref-reference-guide/SKILL.md
Guide to JabRef open-source BibTeX and BibLaTeX reference manager
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research jabref-reference-guideInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
JabRef is an open-source, cross-platform reference manager with over 4,000 GitHub stars, specifically designed for researchers who work with BibTeX and BibLaTeX bibliographies. Written in Java, it runs on Windows, macOS, and Linux, providing a graphical interface for managing bibliographic databases that integrates seamlessly with LaTeX-based writing workflows.
Unlike general-purpose reference managers that treat BibTeX export as an afterthought, JabRef is built from the ground up around the BibTeX format. Every feature, from the entry editor to the search system, understands BibTeX entry types and field semantics natively. This means researchers who write primarily in LaTeX get a tool that speaks their language without the impedance mismatch of converting between proprietary formats.
JabRef supports both BibTeX and BibLaTeX formats, handles cross-references, string constants, and preambles, and provides powerful tools for maintaining bibliography quality. It can fetch metadata from online databases, check entries for completeness, detect duplicates, and generate citation keys following customizable patterns. For researchers who prefer to keep their bibliographic data in plain-text BibTeX files under version control, JabRef is the reference manager of choice.
JabRef can be installed through multiple methods:
Direct Download:
Package Managers:
brew install --cask jabrefsudo snap install jabrefflatpak install org.jabref.jabrefwinget install JabRef.JabRefInitial Configuration:
[auth][year] produces keys like Smith2024[auth:lower][year][veryshorttitle:lower] produces smith2024deepEntry Management: JabRef provides a table view and an entry editor for managing bibliography entries. The entry editor shows all fields relevant to the selected entry type (article, book, inproceedings, etc.) and validates field content against BibTeX specifications.
Online Database Search: Search and import references from multiple academic databases directly within JabRef:
Duplicate Detection: JabRef identifies potential duplicate entries using configurable similarity algorithms that compare titles, authors, years, and other fields. The merge dialog allows you to combine duplicates while preserving the most complete metadata from each entry.
Group Management: Organize entries into hierarchical groups based on:
Quality Checks: Run integrity checks on your database to identify:
Push to Editor: Send citation commands directly to your LaTeX editor. JabRef supports integration with:
Setting Up a Project Bibliography:
.bib file in your LaTeX project directory.bib file\bibliography{references} or \addbibresource{references.bib}Collaborative Writing:
.bib file in a Git repository alongside your LaTeX sourceIntegration with Overleaf:
.bib fileJournal Submission Preparation:
Custom Entry Types: Define custom BibTeX entry types for specialized references not covered by the standard types. This is useful for datasets, software, standards documents, and other non-traditional academic sources.
Journal Abbreviation Management: JabRef includes a comprehensive database of journal name abbreviations. Configure automatic abbreviation or expansion of journal names to match specific publisher requirements.
String Constants: Use BibTeX string constants to define frequently used values (journal names, publisher details, conference series names) once and reference them throughout your database. This ensures consistency and simplifies bulk updates.
Web Search Customization: Configure custom web search providers or API endpoints for specialized databases relevant to your field.
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.