What problem does it solve? Reading dense research papers is slow and fragmented: PDFs, highlights, and notes live in different places, and it is hard to produce consistent, well-structured study notes. This Skill turns a paper in your local vault into a rigorous, structured Chinese reading report with figures, formulas, and citations. ## Core Features & Use Cases - Structured Paper Analysis: Produces a fixed-structure report covering problem and motivation, core contribution deconstruction, experiments and SOTA comparison, plus limitations and future work. - Figure-Aware Explanation: Extracts key figures from the paper source (converting PDF figures with pdftoppm when needed) and embeds them inline alongside the explanation. - Vault-Native Output: Writes lecture-style notes with frontmatter, Obsidian wikilinks, and local PDF citations into {paper}/NOTES.md, then marks the paper as read via the agentero CLI. - Author Lookup Support: Includes a reference guide for finding first/corresponding author emails, homepages, GitHub, ORCID, and OpenReview links via OpenAlex, DBLP, and other APIs. - Use Case: Import an arXiv paper into your Agentero vault, then ask the agent to read it; you get a complete Chinese NOTES.md with figures, LaTeX formulas, and linked citations ready for review. ## Quick Start Read the paper in papers/1706.03762 and write a structured Chinese lecture-style note with figures and citations into its NOTES.md.
