What problem does it solve? Writing a comprehensive literature review requires searching multiple academic databases, reading dozens of papers, and synthesizing diverse perspectives into a coherent narrative, which is slow and prone to narrow coverage. ## Core Features & Use Cases - Multi-Perspective Dialogue Simulation: Generates 3-5 expert personas (based on STORM) that ask questions from different research angles, with each answer grounded in retrieved papers. - Multi-Source Paper Search: Searches Semantic Scholar, OpenAlex, and arXiv via provided scripts to gather relevant publications. - Structured Synthesis: Combines persona conversations into an outline, a cited review, a paper database, and identified knowledge gaps. - Use Case: Starting a dissertation on multi-agent systems, run this Skill to automatically gather recent and foundational papers, simulate expert Q&A from systems and theory perspectives, and produce a cited survey draft. ## Quick Start Ask the agent to conduct a literature review on your research topic, for example by saying: run a literature review on retrieval-augmented generation for code.