bchao1/paper-finder

Paper Finder searches ML/AI/CV/NLP research papers across arxiv, Semantic Scholar, Google Scholar, and top conferences, but its real strength is the multi-angle strategy: it also surfaces papers by cross-domain synonyms, enabling mechanism terms, and motivating application framings. The skill maintains a per-topic memory bank and mind-graph that grows with every search, tracks BibTeX references, and invites deeper paper analysis via companion skills. It serves researchers, graduate students, and interdisciplinary scientists who need thorough coverage of a topic without manually repeating searches across venues and vocabularies.