What problem does it solve?
Academic research often requires structured, repeatable analysis of papers and organization of insights. This Skill automates deep analysis, batch processing, relevance triage, and topic surveys, turning scattered papers into a connected knowledge graph with bidirectional links.
Core Features & Use Cases
- Deep single-paper deconstruction: problem/motivation, method, experiments, contributions, and critique.
- Batch parallel analysis: analyze multiple papers with cross-paper synthesis and consolidated notes.
- Quick triage: rapid relevance scoring to prioritize reading without producing full notes.
- Topic-mode surveys: auto-scan a topic landscape and generate an organized survey with citations and knowledge network.
- Auto-archiving: outputs integrate into the workspace with bidirectional links and index maintenance.
Quick Start
Provide a paper name, arXiv ID, DOI, or URL to start a single-paper analysis.