Agent skill · writing content · aiskillstore
nature-data
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions. Also trigger on general academic-writing data needs even without the word "Nature", such as writing a data availability statement for any journal, code/data sharing sections, repository selection while writing a paper, and Chinese phrasings like 数据可用性声明、数据可用性、 数据共享、代码可用性、学术写作数据声明、写数据声明、数据存放、数据仓库选择.
Why this skill is useful
Provides specific guidance on preparing data availability statements and FAIR metadata tailored for Nature submissions, which the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Nature Data Availability — Router This skill is split into two layers: A static layer under static/ that holds versioned, reusable content fragments (the default stance and source hierarchy, the Chinese-user operating mode, and the workflow with output format). A dynamic layer (this file plus manifest.yaml) that loads the core every time and reaches for the deeper policy/repository/FAIR references only when a step needs them. Do not try to apply the data-availability logic from memory or from this router. Always load fragments from disk as described below. Routing protocol Follow these four steps every time the skill is invoked. 1. Load the manifest and the core layer Read manifest.yaml. Then read every file listed under alwaysload: static/core/stance.md — what the data-availability package is, the default stance, and the source hierarchy. static/core/chinese-mode.md — how to operate when the user writes in Chinese (accept Chinese, draft English, convert terms precisely). static/core/workflow.md — the eight-step workflow and the output format. 2. No content axis — confirm journal and language inline Unlike nature-writing or nature-figure, nature-data has no fragment axis. Its variation is handled at runtime, not by loading different content bodies: journal/article type — if journal-specific instructions conflict with this skill, follow the journal. access route — each dataset is classified into one route (public repository, controlled access, within paper, reused public, third-party restricted, justified request, or not applicable). user language — if the user writes Chinese, follow core/chinese-mode.md and add the 中文核对 block. 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/nature-data