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papers
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Skill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI.
When to use
- Use when the user asks to search academic papers by topic, author, or venue.
- Use when the user names a specific paper (by DOI, arXiv ID, or title) and
- Use when the user wants to find work that **cites** a known paper (impact
- Use when the user wants to download an arXiv PDF and have it summarized.
- Use when the user asks to build a reading list around a topic.
When not to use
- The user wants paywalled non-arXiv full text. This skill cannot bypass
- The user wants OCR over scanned PDFs. PyMuPDF extracts embedded text only;
- The user wants real-time citation alerts or RSS-style watching. This skill
- The skill cannot fetch full text from paywalled publishers (Elsevier,
- PyMuPDF extracts embedded text only. Scanned image-PDFs return the
- Semantic Scholar's anonymous tier rate-limits aggressively. The script
- This skill does not replace environment-specific validation, testing, or
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