nature-data

Drafts and audits Nature-ready Data Availability statements from bilingual notes.

Updated May 21, 2026
One-click install
npx skills add https://github.com/Liangxianguang/helpfulskills --skill nature-data-liangxianguang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-data
Source: https://github.com/Liangxianguang/helpfulskills/tree/main/nature-skills/skills/nature-data
Command: npx skills add https://github.com/Liangxianguang/helpfulskills --skill nature-data-liangxianguang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Nature-family submissions often require precise, submission-ready Data Availability statements and dataset citations, but authors may have only informal Chinese notes or incomplete/weak wording. This skill helps convert that input into a Nature-ready English package while auditing for missing identifiers, repositories, licenses, and access routes.

Core Features & Use Cases

  • Manuscript-ready Data Availability drafting: Produces ready-to-paste Data Availability text and a repository/data mapping aligned with Nature Portfolio expectations.
  • FAIR and DataCite-style metadata auditing: Flags weak, missing, or inconsistent metadata fields (e.g., accession/DOI, licensing, provenance, embargo/access conditions).
  • Bilingual-aware Chinese author mode: Converts Chinese “data availability intent” into precise English wording, and outputs a short Chinese confirmation checklist for unresolved fields.
  • Dataset citation preparation: Helps generate repository and dataset citation actions, ensuring the statement can be backed by stable records.

Quick Start

Draft and audit a Nature-ready Data Availability statement from my Chinese data-sharing notes, including English text plus a Chinese checklist of what I still need to confirm.

Frequently Asked Questions about nature-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a Nature-ready data availability statement for my manuscript submission?▼

To write a Nature-ready data availability statement, you map manuscript data notes to specific availability routes, assign datasets to repositories, and generate submission-ready text with risk flags for missing identifiers or access terms.

Can I convert informal Chinese data sharing notes into a FAIR metadata checklist?▼

Yes, you can convert Chinese data sharing notes into a FAIR metadata checklist by auditing author intent, translating it into precise English statements, and outputting a Chinese confirmation checklist for unresolved fields like accession numbers and licenses.

What is the best way to handle restricted data and controlled-access datasets for journal submissions?▼

The best way to handle restricted data for journal submissions is to explicitly define controlled-access routes, avoid fabricating access terms, and replace weak phrasing like available on request with precise DataCite-aligned metadata and repository conditions.

How do I map accession numbers and DOIs when preparing dataset citations?▼

You map accession numbers and DOIs by auditing supporting datasets against repository records, ensuring stable identifiers are linked to specific availability routes, and generating ready-to-paste citations backed by FAIR metadata.

Why does my data availability statement get flagged for missing identifiers during repository selection?▼

Your data availability statement gets flagged for missing identifiers when the audit detects incomplete provenance, absent DOIs, or undefined licenses. It assigns missing-information risk flags to ensure compliance before submission.