Search arXiv, Google Scholar, and Semantic Scholar for ML papers and organize them with BibTeX entries.
npx skills add https://github.com/bchao1/paper-finder --skill paper-finder-bchao1
Please help me install this Agent Skill. Skill: paper-finder Source: https://github.com/bchao1/paper-finder/tree/main Command: npx skills add https://github.com/bchao1/paper-finder --skill paper-finder-bchao1
Finds and organizes ML, CV, NLP, and AI research papers based on textual descriptions and keywords. Searches across arxiv, Google Scholar, Semantic Scholar, and top venues, while maintaining a persistent memory bank of discovered papers, a mind-graph linking papers to topics, individual paper summaries, and BibTeX entries.
Search for papers on a topic and add them to the memory bank.
High-intent search queries and answers about installing and using this skill.
To find research papers for a literature review, search by textual descriptions or keywords. The tool queries arXiv, Google Scholar, Semantic Scholar, and major venues, then maintains a persistent memory bank of discovered papers.
Yes, you can generate BibTeX entries automatically. As the tool discovers ML, CV, NLP, and AI papers, it produces individual paper summaries and BibTeX entries for easy citation management.
The best way to organize related work is by using the built-in mind-graph. It links discovered papers to specific topics, allowing you to track research across multiple venues and years while building a cohesive literature review.
Yes, the paper discovery tool maintains a persistent memory bank. This ensures that previously found ML and AI papers, along with their summaries and topic links, are stored and organized for ongoing reference management.
You search for papers by providing textual descriptions or keywords, and the system retrieves matching results. It then automatically adds these papers to the memory bank, generating summaries and BibTeX entries for your references.
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