Search, filter, and summarize academic papers across multiple sources.
npx skills add https://github.com/goupup-ai/miccai25 --skill research-lit-goupup-ai
Please help me install this Agent Skill. Skill: research-lit Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/research-lit Command: npx skills add https://github.com/goupup-ai/miccai25 --skill research-lit-goupup-ai
Manually conducting literature reviews and finding relevant research papers is extremely time-consuming, requiring researchers to search across dozens of disconnected sources (local PDF libraries, reference managers, arXiv, academic databases) and spend hours reading and summarizing individual papers to compile related work or understand a new topic.
Use the research-lit skill to find and summarize the latest papers on multi-granularity context networks for efficient medical image segmentation.
High-intent search queries and answers about installing and using this skill.
Automated literature review aggregates searches across local PDFs, Zotero, arXiv, and Semantic Scholar. It ranks results by relevance, extracts metadata, and summarizes core contributions to eliminate manual paper reading.
Yes, multi-source aggregated search queries local PDF libraries, Zotero, Obsidian, and online databases like arXiv simultaneously. It de-duplicates papers across all sources to provide a unified research summary.
Compiling related work involves querying your reference manager and online databases, then extracting key metadata and core contributions. This generates a structured summary of relevant papers for your introduction section.
Yes, the search and summarization process includes optional arXiv PDF download functionality. It retrieves and filters preprints alongside your local collections to streamline research paper discovery.
Finding recent research papers uses a single query to search aggregated academic databases like OpenAlex, Exa, and Semantic Scholar. It applies relevance ranking and de-duplication to surface pertinent papers instantly.
Summarization relies on text extraction from local PDFs and online metadata from integrated databases. Papers without parseable text or missing metadata may result in incomplete relevance ranking or core contribution analysis.
Leo1349Search Zotero, Obsidian, local PDFs, and the web for research papers.
ThanabordeeNGenerate structured literature reviews with APA, MLA, or Chicago citations.
KarlinskySRead, search, and create notes in an Obsidian vault.
DarkArty07Search arXiv and Semantic Scholar for papers, citations, and BibTeX entries.
