What problem does it solve? Researchers struggle to keep up with the daily flood of new arXiv papers and manually curate which ones are worth reading. This Skill automates the morning routine of searching, scoring, and summarizing relevant papers into an Obsidian daily note. ## Core Features & Use Cases - Automated arXiv Search & Scoring: Searches recent papers across configured arXiv categories and ranks them by relevance, recency, popularity, and quality using a research interests config file. - Daily Recommendation Note Generation: Creates a dated Obsidian note with a daily overview, ranked paper list, and automatic wikilinks to existing notes. - Deep Analysis of Top Papers: For the top 3 papers, extracts figures and invokes paper-analyze to produce detailed reports, skipping papers that already have notes. - Use Case: A researcher types "start my day" each morning and receives a curated note of the 10 most relevant new papers in agents, RAG, and graph learning, with images and links to detailed analyses. ## Quick Start Say "start my day" to generate today's personalized arXiv paper recommendation note in your Obsidian vault.