From nature-skills
Guides preparation of Nature-ready Data Availability statements, repository plans, dataset citations, and FAIR metadata. Supports Chinese-speaking authors and general academic-writing data needs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nature-skills:nature-dataThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill is split into two layers:
README.mdagents/openai.yamlmanifest.yamlreferences/chinese-author-alignment.mdreferences/fair-metadata-checklist.mdreferences/policy-principles.mdreferences/repository-and-identifiers.mdreferences/source-basis.mdreferences/statement-patterns.mdstatic/core/chinese-mode.mdstatic/core/stance.mdstatic/core/workflow.mdThis skill is split into two layers:
static/ that holds versioned, reusable content fragments (the default stance and source hierarchy, the Chinese-user operating mode, and the workflow with output format).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.
Follow these four steps every time the skill is invoked.
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/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.Unlike nature-writing or nature-figure, nature-data has no fragment axis. Its variation is handled at runtime, not by loading different content bodies:
core/chinese-mode.md and add the 中文核对 block.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.
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.
nature-writing, nature-polishing, nature-reader, nature-paper2ppt, nature-figure, nature-citation, and nature-response.npx claudepluginhub yuan1z0825/nature-skills --plugin nature-skillsPrepare, audit, or revise Nature-ready Data Availability statements, repository plans, dataset citations, and FAIR metadata. Supports Chinese-to-English translation for Nature submissions.
Guides researchers through open science practices: preregistration, FAIR data, repository choice, open access, licensing, and reproducible workflows. Use when writing data management plans or sharing research outputs.
Guides researchers through open science practices: preregistration, FAIR data, open access publishing, reproducible analysis, and funder mandate compliance.