What problem does it solve? Reading and translating academic papers across PDF, DOI, arXiv, HTML, or pasted text often produces lossy summaries, broken equations, and figures detached from the text that discusses them. This Skill builds a full-paper Chinese-English Markdown reader where every paragraph, figure, table, and equation keeps a stable source anchor back to the original document. ## Core Features & Use Cases - Bilingual full-paper reader: Generates paragraph-level Original/中文 pairs in paper.md with page and block anchors, never degrading to a summary-only output. - Figure, table, and equation handling: Crops figures and tables into assets/ near their first substantive mention, renders display equations as Markdown math with stable E... IDs, and falls back to original image crops for low-confidence or scanned formulas. - Source map and validation: Produces source_map.json and translation_notes.md for traceability, plus a deterministic script that validates math delimiters, equation anchors, and source-map linkage. - Use Case: Give it a scanned conference PDF and receive a complete bilingual reading bundle with OCR confidence labels, cropped figures placed near the relevant prose, and an equation index linking every formula to its page. ## Quick Start Use the nature-reader skill to turn this paper PDF into a full Chinese-English side-by-side Markdown reader with figures, equations, and a source map.