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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.
Passed 14 of 18 test cases with the skill, and 8 of 18 without it.
and 6 more in the full report
7 fixed10 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have a batch input file containing a mixture of DOIs, PMIDs, and arXiv IDs. Which metadata extraction tool script should be called to handle this file, and what flag specifies the batch file path?
| Checked | Without skill | With skill |
|---|---|---|
| Uses extract_metadata.py for processing input files containing identifiers. | Missed | Passed |
| Extracts metadata across DOIs, PMIDs, and arXiv IDs. | Passed | Passed |
The instructions your model reads when the skill loads.
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.
Use this skill when:
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
The AI will automatically:
test cases passed, vs 8 / 18 without
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