The Academic Paper Annotator skill turns raw PDFs and arXiv papers into practical reading companions formatted in Obsidian-first Markdown rather than superficial summaries. Designed for engineers and researchers who want to understand, reimplement, or evaluate academic work, it extracts an unembellished end-to-end forward pass, classifies and highlights argument structures across five dimensions, embeds live figures, and delivers clear takeaways on what mechanisms to lift, which choices are underspecified, and which benchmark numbers are trustworthy.
主要功能
01Delivers actionable implementation takeaways specifying reusable components, underspecified decisions, and falsification experiments
02Highlights arguments across five structured dimensions including core claims, key terms, evidence, concessions, and methodology
03Provides per-paragraph original text quoting with argument role annotations and optional idiomatic translations
040 GitHub stars
05Generates plain-language ELI5 problem breakdowns and step-by-step technical forward passes
06Integrates live-rendered PDF figure embeds and mobile-friendly Markdown table conversions
使用场景
01Evaluating academic claims and empirical benchmark tables to distinguish load-bearing results from paper rhetoric
02Building an Obsidian personal knowledge base of deep-dive literature notes grounded against your own research questions
03Deconstructing complex ML and computer science papers to extract exact mechanisms and tensor shapes before reimplementation