nature-data

---
name: nature-data
description: "Draft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis."
metadata:
  author: Yuan1z skill, refactored into static/dynamic layers
---

# Nature Data Availability — Router

## Routing protocol

For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.

### 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/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 or requests Chinese guidance, read `static/core/chinese-mode.md` and add the 中文核对 block unless the user requested statement text only.

### 3. Run the workflow

For a wording edit or audit of one existing statement, preserve supplied repository identifiers
and access conditions and check the affected claims. Report gaps relevant to that statement;
do not require a full study-wide dataset inventory or repository redesign. Use the complete
workflow below for a new data-sharing plan, full statement, or submission audit.

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.

From yuan1z0825/nature-skills at 2a20e4a, shown as plain text under its license: Apache-2.0 (permissive). The license text is in LICENSE.

• SKILL.md3.9 KB · 4ef9c383411b
• README.md2.3 KB · 1aab4ad7731d
• README_EN.md2.5 KB · f536d49d982f
• agents/
• openai.yaml236 B · a371700ff5d1
• manifest.yaml2.4 KB · eb6fd2405975
• references/
• chinese-author-alignment.md5.0 KB · 31e315ea0911
• fair-metadata-checklist.md4.6 KB · 396170bc77a8
• nature-article-requirements.md5.1 KB · 3b38e4842e56
• policy-principles.md5.9 KB · 26f02aef5843
• repository-and-identifiers.md4.4 KB · da3ce50339c0
• source-basis.md5.4 KB · 46f726a79e7a
• statement-patterns.md8.1 KB · e10d26c2ba04
• static/
• core/
• chinese-mode.md1.2 KB · 9d3cda4ad60a
• stance.md1.9 KB · fe0829bd6d7d
• workflow.md1.9 KB · 51dfddc64063

15 files, 55 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.