Fetch citation metadata and generate BibTeX entries via DOI, PMID, or arXiv ID.
npx skills add https://github.com/ryan-ressmeyer/llm-skills --skill citation-fetch
Please help me install this Agent Skill. Skill: citation-fetch Source: https://github.com/ryan-ressmeyer/llm-skills/tree/main/citation-fetch Command: npx skills add https://github.com/ryan-ressmeyer/llm-skills --skill citation-fetch
This Skill automates the retrieval of detailed citation metadata and related papers, streamlining the process of building and managing a literature database.
Use the citation-fetch skill to retrieve metadata for the paper with DOI 10.1038/s41586-021-03819-2.
High-intent search queries and answers about installing and using this skill.
You can generate BibTeX entries by providing a DOI, PMID, or arXiv ID. The Skill fetches the academic paper's metadata and automatically formats the details into a valid BibTeX entry for reference management.
To discover citing and referenced papers, provide a DOI or arXiv ID. The Skill queries Semantic Scholar to map the citation graph, returning lists of papers that cite the target and papers it references.
Yes, you can retrieve PubMed metadata using a PMID. The Skill accepts PubMed IDs alongside DOIs and arXiv IDs to fetch comprehensive article details including authors, title, journal, year, and abstract.
Yes, you need Python with the requests, pyyaml, and python-dotenv libraries installed. These dependencies are required to execute the scripts that handle API interactions and process the returned citation data.
The best way to find semantically related papers is to provide a known paper identifier. The Skill queries Semantic Scholar APIs to discover and return lists of conceptually related academic literature for your research context.
If your citation metadata fetch does not return abstracts for older arXiv papers, the source APIs may have incomplete indexing for that record. The Skill depends on Semantic Scholar and external APIs to return whatever metadata is currently available.
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