What problem does it solve? Turning a dense scientific paper into a clear, well-structured presentation for group meetings or journal clubs is time-consuming, and generic AI-generated slides often suffer from cropped figures, text overflow, and template-like wording. This Skill automates the full paper-to-deck pipeline while enforcing academic quality standards. ## Core Features & Use Cases - Paper-type-aware narrative arcs: Classifies papers into six types (discovery, methods, resource, clinical, materials, review) and applies a matching presentation structure instead of copying the article's section order. - Figure extraction and crop QA: Extracts key figures from PDFs, crops dense panels, and verifies that axes, legends, panel labels, and scale bars are preserved before slide insertion. - Real PPTX output with self-review: Generates an editable .pptx with Chinese slide content and speaker notes using python-pptx, then runs an XML-based audit script to detect text overflow, out-of-bounds shapes, AI-template phrases, and alignment issues. - Use Case: Provide a Nature Communications paper PDF and ask for a 12-slide Chinese group-meeting deck; receive a complete PPTX with speaker notes, a figure asset manifest, and a QA report. ## Quick Start Use the nature-paper2ppt skill to turn this paper PDF into a 12-slide Chinese group-meeting presentation with speaker notes.
