What problem does it solve? Reading a full academic paper is time-consuming, and key contributions, formulas, and experiment details are easy to lose track of. This Skill turns a translated Chinese Markdown paper into a structured brief.md summary so you can grasp the paper's core content quickly and revisit specific sections later. ## Core Features & Use Cases - Five-Dimension Section Analysis: For each chapter it captures the core problem, key methods, main content, important formulas, and key figures. - Structured brief.md Output: Produces a standardized summary with basic metadata, core contributions, per-chapter abstracts, experiment tables (datasets, metrics, baselines, results), formula and figure indexes, and open discussion questions. - Domain Adaptation: Adjusts emphasis for software engineering, deep learning, computer vision, and LLM/NLP papers. - Use Case: After translating an arXiv paper into Chinese Markdown, run this Skill to generate a brief.md containing the paper's contributions, method details with formulas, and a per-experiment breakdown table for later discussion and comparison with related work. ## Quick Start Summarize the translated paper '论文标题.md' into a structured brief.md with chapter summaries, key formulas, and experiment tables.
