Prepare data availability statements for Nature-family submissions by mapping research datasets to access routes, planning repositories, drafting dataset citations, and checking metadata—the descriptive information needed to find and reuse data.
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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.
安装前可以查看交给 AI 代理的指令内容。
Use this skill to turn a manuscript's supporting data into a transparent, Nature-ready data availability package: statement text, repository plan, dataset citations, and missing-information flags.
The governing policy layer is Springer Nature / Nature Portfolio data policy. The implementation layer is FAIR data practice and DataCite-style citation metadata.
For academic wording only, the active installed
skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
under the current client's skill home may offer relevant phrasing examples.
Use it only when it contains source-attributed availability language. Journal
policy and the author's actual data-access facts take precedence. If the memory
is absent or irrelevant, continue without it.
When the user writes in Chinese, provides a Chinese manuscript note, or asks for "中文对应", "中英对照", "数据可用性声明", "数据获取声明", "原始数据", "数据存储库", or "受限数据":
数据可用性声明 -> Data Availability; 原始数据 -> raw data;
处理后数据 -> processed data; 源数据 -> source data;
补充材料 -> Supplementary Information; 受限数据 -> restricted data;
合理请求 -> reasonable request, only with reason and review route.references/chinese-author-alignment.md for Chinese terminology, common CN-to-EN failure
modes, and bilingual intake questions.public repository, controlled access repository, within paper or supplement,
reused public source, third-party restricted, available on justified request,
or not applicable.Unless the user asks for another format, return:
Data Availability
[ready-to-paste statement]
Repository and citation actions
- [specific actions or "None"]
Missing information / risk flags
- [specific flags or "None"]
中文核对
- [用中文列出作者需要确认的字段或 "无"]
When auditing an existing statement, lead with blocking issues first, then provide a revised version.
| File | Open when |
|---|---|
| references/policy-principles.md | You need the governing Nature/Springer Nature data-sharing rules or edge-case policy logic |
| references/chinese-author-alignment.md | The user writes in Chinese, needs bilingual wording, or provides Chinese availability notes |
| references/statement-patterns.md | You need ready-to-adapt Data Availability statement patterns |
| references/repository-and-identifiers.md | You need repository choice, accession, DOI, embargo, versioning, or dataset citation guidance |
| references/fair-metadata-checklist.md | You need FAIR checks, README metadata, file organization, licences, provenance, or DataCite fields |
| references/source-basis.md | You need to justify rules with official sources or check which source supports which rule |
Use sources in this order:
If a policy detail may have changed, verify the current journal page before giving final submission advice.
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Create and configure Claude Code agents using Markdown files with YAML configuration headers. Define when each agent should run, write its responsibilities and workflow, choose models and tools, and check configuration and triggering behavior.
中文简介正在准备中。当前显示英语简介。
Add datasets, models, and other components to machine learning projects using consistent registration and creation patterns. The skill guides file placement, configuration, and automatic module loading so new components fit the project's established architecture.
中文简介正在准备中。当前显示英语简介。
Investigate code errors through a structured process using reproduction steps, logs, and testable explanations. The workflow guides fault isolation, fixes, and follow-up checks, with common error patterns for Python, JavaScript/TypeScript, and Bash/Zsh.
中文简介正在准备中。当前显示英语简介。
Check academic references for existence, accurate publication details, and support for the claims being cited. This guide explains how to verify sources, obtain bibliography entries, and flag references that cannot be confirmed.
中文简介正在准备中。当前显示英语简介。
Review code changes and pull requests for correctness, security, performance, and test quality. The skill helps prioritize issues, write specific and constructive feedback, and create shared review checklists and standards for a development team.
中文简介正在准备中。当前显示英语简介。
Create reusable slash commands, prompts invoked by typing a slash, for Claude Code. The skill explains Markdown structure, arguments, file references, tool permissions, and plugin integration so recurring tasks can follow a defined workflow.
中文简介正在准备中。当前显示英语简介。