food-fetch
SolidLawfully acquire the full text of academic articles so the research and review skills can read papers, not just abstracts. Routes each article through legal open access (Unpaywall/OpenAlex/PMC/arXiv), the user's own reference-manager library (EndNote/Zotero/Mendeley PDFs), and — only with the user's own logged-in institutional browser session — their library's entitled full text, then extracts the text and writes a manifest of what was and was not obtained. Open-access articles are always downloaded and read, never left at abstract-level. Never bypasses paywalls, DRM, or logins. Use to fetch PDFs for a reference list or DOIs, get full text behind a subscription the user is entitled to, or build a full-text corpus. Triggers: download these papers, get the full text, fetch the PDFs for these DOIs, retrieve full text for my reference list, access the article through my library, build a full-text corpus.
Install
Quality Score: 83/100
Skill Content
Details
- Author
- PangenomeAI
- Repository
- PangenomeAI/academic-skills-food-nutrition
- Created
- 2 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
paper-deep-reading
This skill should be used when deep-reading one paper end to end: explaining what it does, judging whether its conclusions actually hold and whether it is worth acting on, and delivering the result as a Word document. Applies to a PDF, an arXiv id, a DOI or a preprint link. Triggers on "read this paper", "deep read", "精读", "help me understand this paper", "is this paper any good", "does this hold up", "review this preprint", "write up notes on this paper", or any request pairing one specific paper with more than a summary.
paper-fetch
Use whenever the user wants to obtain, download, or fetch a paper's PDF — given a DOI, an arXiv id, a paper title, a citation, or a list of DOIs. Trigger on phrases like "download this paper", "find the PDF for [DOI]", "grab me the [Nature/bioRxiv/arXiv] paper on X", "get the open-access version", "I need this article", or any bulk/batch paper download request, even when the user doesn't explicitly say "PDF" or "DOI". Resolves via Unpaywall → Semantic Scholar → arXiv → PubMed Central → bioRxiv/medRxiv → publisher direct (institutional opt-in) → Sci-Hub mirrors as last-resort fallback.
fulltext-retrieval
Batch download open-access PDFs by DOI using legitimate OA APIs (Unpaywall, PMC, OpenAlex, Crossref). Optional PDF→Markdown conversion for token-efficient LLM analysis.