ljg-paper-flow is a high-efficiency workflow skill designed to bridge the gap between academic research and knowledge synthesis. It takes arXiv links, PDFs, or paper titles and orchestrates a dual-stage pipeline: first, it performs a deep structural analysis to generate a detailed .org file; second, it transforms that analysis into a high-quality visual card or infographic. By supporting parallel processing for multiple papers, it allows researchers, students, and content creators to digest complex literature and produce shareable visual summaries in a single command.
주요 기능
01Parallel subagent processing for multiple papers simultaneously
02Generates structured .org analysis files for documentation
033,607 GitHub stars
04Automated dual-step paper-to-card pipeline
05Supports arXiv links, local PDF paths, and paper names
06Multiple visual output modes including Comic, Long-image, and Infographic
사용 사례
01Creating social-media-ready visual summaries of technical breakthroughs
02Developing a structured knowledge base of research insights and visual aids
03Batch processing a list of research papers for academic reviews