What problem does it solve? Reading a research paper deeply takes hours, and quick summaries miss benchmark misuse, overclaims, and weak evidence. This Skill turns a single paper PDF into a rigorous, citation-backed reading note you can trust months later. ## Core Features & Use Cases - Five-phase deep reading workflow: skim and frame, benchmark audit, prior-art matrix, deep re-read with figure capture, and final note synthesis. - Benchmark audit and critical checks: verifies each benchmark's original task against the paper's usage, flags overclaims, unevaluated scenarios, and reproducibility gaps. - PDF tooling scripts: extract text with page markers, split sections heuristically, render pages to PNG, and auto-crop figures with manual bbox fallback. - Use Case: Hand the Skill an arXiv PDF of a new segmentation paper and receive a 9-section note with cropped figures, a related-work matrix of up to 15 papers, and benchmark-mismatch warnings. ## Quick Start Use the paper-reading skill to deeply read this paper PDF and produce a structured critical reading note with cropped figures and numbered citations.
