What problem does it solve? Turning raw claims, figures, results, and Chinese lab notes into a coherent Nature-style manuscript or a complete first-submission package is slow and error-prone. This Skill structures that work: it rebuilds section logic rather than only polishing sentences, allocates evidence across main text, captions, Methods, and Supplementary Information, and prepares cover letters, title pages, highlights, and declarations. ## Core Features & Use Cases - Section drafting and restructuring: Builds abstracts, introductions, results narratives, discussions, conclusions, and titles using a claim-evidence chain, with journal-specific guidance for Nature, Nature Communications, Nature Machine Intelligence, and other Nature Portfolio titles. - Results allocation and compression: Classifies each result by function (core discovery, support, robustness, edge case) and decides what belongs in main text versus SI, compressing to the shortest sufficient evidence chain. - First-submission packages: Produces cover letters, title pages, highlights, author contributions, availability statements, reviewer suggestions, and a readiness audit with a ready / ready_with_author_checks / blocked status. - Use Case: A researcher pastes Chinese experimental notes and figure summaries, then asks for an English Results narrative plus a Nature Machine Intelligence submission package; the Skill loads the matching fragments and drafts both. ## Quick Start Use the nature-writing skill to draft a Nature-style abstract and introduction from these figures and result notes, then prepare the initial cover letter and submission checklist.