Skills

Data Availability Statements

Drafts and audits manuscript data and code availability statements and FAIR metadata.

Install

npx skills add Yuan1z0825/nature-skills --skill nature-data -g -a claude-code -y
Category
Writing
Updated
4d ago
License
Apache-2.0
Context cost
Lightabout 872 tokens
Runs scripts
No, instructions only

What it does

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.

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. 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.

Read the whole SKILL.md on GitHub

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