Extracts structured research data from academic papers and integrates it into a persistent knowledge graph.
The Academic Paper Analyzer skill automates the deep technical review of research papers by processing sources from ArXiv, DOIs, or local PDFs. Unlike standard summarization tools, it performs high-fidelity extraction of methodology, statistical evidence, and limitations, storing these details in a queryable knowledge graph. This allows researchers to build a persistent database of evidence where findings are cross-referenced, citations are mapped, and institutional memory of read literature is maintained across different sessions.
主な機能
01Structured extraction of methodology, findings, and statistical evidence
020 GitHub stars
03Automated paper retrieval via ArXiv, DOI resolution, or local PDF files
04Persistent knowledge graph storage for cross-session research tracking
05Intelligent cross-referencing to link related research and contradictions
06Methodological quality flagging and evidence confidence scoring
ユースケース
01Building a searchable database of research findings for a specific scientific domain
02Extracting specific statistical claims and P-values from a repository of PDF papers
03Mapping the connections and historical build-on relationships between academic works
