What problem does it solve? Writing a compliant Data Availability statement for Nature-family journals is error-prone: authors often omit accessions, repositories, licences, or access conditions, and vague phrases like "available upon request" get flagged by editors. This Skill turns your dataset inventory into a submission-ready statement with repository and citation guidance. ## Core Features & Use Cases - Statement drafting and auditing: Generate or review Nature/Springer Nature-style Data Availability statements, classifying each dataset into public repository, controlled access, supplementary, reused public, third-party restricted, or not-applicable routes. - Repository and identifier planning: Choose discipline-specific or generalist repositories, validate DOI/accession strategy, and produce DataCite-style dataset citations. - FAIR metadata audit: Run findability, accessibility, interoperability, and reusability checks with a README template and blocking-issue flags. - Bilingual support: Convert Chinese author notes (数据可用性声明, 受限数据) into precise submission-ready English with a Chinese confirmation checklist. - Use Case: You have a manuscript with sequencing data in GEO, sensitive clinical data under controlled access, and reused public datasets. The Skill maps each dataset to its access route, drafts the full Data Availability statement, and lists missing accessions you must confirm. ## Quick Start Ask the assistant to write a Nature-style Data Availability statement for your manuscript, listing each dataset, its repository or access restriction, and any accessions or DOIs you already have.