What problem does it solve? Reading and digesting academic papers is time-consuming, and ad-hoc summaries often miss key aspects like evaluation methodology or detailed comparisons with prior work. This Skill produces a consistent, structured summary of any paper given its title or URL. ## Core Features & Use Cases - Structured Summary Format: Generates bibliographic info, problem setting, contributions over prior work, core technical ideas, evaluation tables, discussion points, and related papers. - Detailed Prior-Work Comparison: Builds axis-based comparison tables contrasting design choices between the target paper and prior research. - Paper Q&A: Answers follow-up questions strictly grounded in the paper's content without speculation. - Use Case: Send an arXiv URL of a new machine learning paper and receive a complete Japanese summary with evaluation tables and a comparison against its predecessors, ready for a reading group or literature review. ## Quick Start Summarize this paper using the paper-summary skill: https://arxiv.org/abs/1706.03762