Conducts comprehensive multi-paper literature reviews with deep gap analysis and automated citation mapping.
This skill automates the intensive process of academic literature review by orchestrating parallel paper reading and high-level synthesis across multiple sources. It goes beyond simple summarization to identify research gaps, compare methodologies, and build structured citation graphs in a knowledge base. By leveraging a multi-agent architecture that uses specialized models for extraction and synthesis, it helps researchers systematically map a field's landscape, identify conflicting findings, and generate publication-ready related work sections in a fraction of the time required for manual review.
主要功能
010 GitHub stars
02Deep synthesis of methodologies and findings across diverse academic sources
03Automated research gap identification and open question discovery
04Parallel multi-paper analysis using specialized agent orchestration
05Interactive citation graph building with typed paper relationships
06Publication-ready related work and BibTeX entry generation
使用场景
01Generating comprehensive Related Work sections for research papers or grant proposals
02Identifying unexplored research opportunities and methodology gaps in a specific scientific domain
03Comparing technical approaches and conflicting results across multiple academic publications
