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

By yuan1z0825 · 11,165 installs

npx skills add yuan1z0825/nature-skills --skill nature-data

Source repository · Upstream listing

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](manifest.yaml). Then read every file listed under always load : 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. Run the workflow Follow the eight step workflow in core/workflow.md : identify the journal, inventory every supporting dataset, classify each into one access route, choose repository and identifier strategy before drafting, draft the statement with explicit dataset to location mapping, add formal dataset citations, run the FAIR/metadata audit, and return ready to paste text plus unresolved fields. Do not invent DOIs, accession numbers, repository names, licences, embargo dates, ethics approvals, access committees, or data use conditions. Flag "available upon request" as weak unless there is a specific legal, ethical, commercial, or third party restriction. 4. Reach for references only when needed The files under references/ are deep references, not defaults. Open them on demand per the references.on demand table in the manifest — for example references/policy principles.md for the governing rules and edge cases, references/repository and identifiers.md for repository/accession/DOI choices, references/statement patterns.md for ready to adapt statements, references/fair metadata checklist.md for the FAIR audit, references/chinese author alignment.md for Chinese wording, and references/source basis.md to justify a rule with its official source. When the target is the flagship journal Nature, also open references/nature article requirements.md for statement placement, mandatory deposition routing, central code review access, materials and structure file checks. When the target is Nature Machine Intelligence, open ../nature shared/journal formats/nature machine intelligence.md . Enforce a Data Availability statement and a separate Code availability section after it and before references; check reviewer access, precise restrictions, repository/identifier quality and the Software Submission Checklist for newly developed central code. Why this split The static layer is versioned and reviewable; the core stays small for a normal statement. The dynamic layer keeps each invocation cheap: the policy, repository, and FAIR depth load only when a step needs them. The router itself is short on purpose. Update fragments and references, not this file, when adding scope. This structure mirrors nature writing , nature polishing , nature reader , nature paper2ppt , nature figure , nature citation , and nature response .