Search Semantic Scholar and OpenAlex for papers and generate citations in multiple formats.
npx skills add https://github.com/Hisn00w/Paper-Citation --skill paper-citation
Please help me install this Agent Skill. Skill: paper-citation Source: https://github.com/Hisn00w/Paper-Citation/tree/main/paper-citation Command: npx skills add https://github.com/Hisn00w/Paper-Citation --skill paper-citation
This skill helps users locate relevant scholarly papers and produce ready-to-use citations in GB/T 7714, APA, IEEE, MLA, BibTeX, and LaTeX formats. It supports direct text queries, in-document [CITE] replacements, and constrained searches with date ranges or venue quality.
Search for literature on a topic and request formatted citations in APA and BibTeX.
High-intent search queries and answers about installing and using this skill.
To format research paper citations in BibTeX and APA, you provide a text query or document marker to retrieve scholarly papers and generate references automatically. The skill outputs ready-to-use citations across multiple formats including APA, BibTeX, LaTeX, GB/T 7714, IEEE, and MLA.
Finding scholarly papers with venue quality constraints requires semantic search across databases like Semantic Scholar and OpenAlex, combined with local venue rank lookups. You can apply year or venue quality filters to narrow results and ensure high-quality sources.
Yes, you can automatically replace [CITE] markers in a document with properly formatted references. The skill identifies relevant scholarly literature based on context around the marker and inserts the correct citation format directly into your text.
Yes, this citation tool supports GB/T 7714 format and includes fallback to Chinese databases when English search results are insufficient. This ensures you can locate and format references for Chinese research papers accurately.
Semantic search retrieves scholarly references by understanding the meaning of your prompt rather than relying on exact keyword matching. This approach searches across databases like Semantic Scholar and OpenAlex to find conceptually relevant papers even when terminology differs.
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