What problem does it solve? Deep-reading an academic paper involves many disconnected steps—ingestion, segmentation, translation, question answering, and publication—that are hard to track and easy to lose when a session ends. This Skill turns the whole process into a single resumable, file-backed workflow where every phase, question, and edit is recorded on disk. ## Core Features & Use Cases - Resumable Workspace: Creates one self-contained folder per paper with a workflow state file, so an interrupted reading session can resume from the last validated phase instead of starting over. - Role-Based Pipeline: Coordinates persistent Reader, Answerer, and Writer roles that read chunks sequentially, research questions, and integrate answers into a bilingual publication at precise locations. - Validation & Traceability: Ships scripts that initialize the workspace and validate chunk coverage, question ledgers, Writer placement records, and portable links after every phase boundary. - Use Case: A graduate student drops a PDF of a dense machine-learning paper into the workflow and receives a complete bilingual Obsidian vault with chunk notes, answered questions, a concept glossary, and a publication-ready bilingual document. ## Quick Start Use the run-paper-reading-workflow skill to deeply read the attached paper PDF and build a bilingual Obsidian workspace for it.
