agentleFS
szzjayson25-hubszzjayson25-hub/nature-academic-skills/nature-data/SKILL.md

nature-data

Skill0 starsChanged 2 months agoMITView on GitHub

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. Also trigger on general academic-writing data needs even without the word "Nature", such as writing a data availability statement for any journal, code/data sharing sections, repository selection while writing a paper, and Chinese phrasings like 数据可用性声明、数据可用性、 数据共享、代码可用性、学术写作数据声明、写数据声明、数据存放、数据仓库选择.

10 other projects use a version of this, 8 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 5 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    When the target is Expert Systems with Applications (ESWA or Expert Syst.

    line 34
  2. Distinctive:

    Use its Option C data deposit/citation-or-explanation requirement and submission data statement.

    line 37
  3. Distinctive:

    Do not apply NMI Software Submission Checklist or Nature statement-placement requirements to ESWA unless separately requested by the editor.

    line 39
  4. Distinctive:

    Do not try to apply the data-availability logic from memory or from this router.

    line 48
  5. Distinctive:

    Follow these four steps every time the skill is invoked.

    line 52
  6. Very specific:

    Read manifest.yaml. Then read every file listed under always_load:

    line 56
  7. Distinctive:

    Do not invent DOIs, accession numbers, repository names, licences, embargo dates, ethics approvals, access committees, or data-use …

    line 74
  8. Very specific:

    When the target is the flagship journal Nature, also open references/nature-article-requirements.md for statement placement, …

    line 80
  9. Very specific:

    When the target is Nature Machine Intelligence, open ../nature-shared/journal-formats/nature-machine-intelligence.md.

    line 85

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Nature Data Availability — Router

Additional configured journals

For Applied Soft Computing (ASC), Engineering Applications of Artificial Intelligence (EAAI), ISA Transactions, Knowledge-Based Systems (KBS), Measurement, Neurocomputing, or IEEE Transactions on Reliability, use ../nature-shared/journal-formats/index.md to resolve the exact journal. Preserve this skill’s task workflow and evidence safeguards. Apply only the selected reference’s relevant scope; do not impose flagship-Nature significance or import another journal’s numerical, citation, or production defaults. These seven profiles do not yet establish verified official submission limits; verify the target’s current official source when such requirements affect work.

ESWA journal context

When the target is Expert Systems with Applications (ESWA or Expert Syst. Appl., case-insensitive), read ../nature-shared/journal-formats/eswa.md before applying journal-specific defaults. Use its Option C data deposit/citation-or-explanation requirement and submission data statement. Keep actual code/data access and restrictions explicit. Do not apply NMI Software Submission Checklist or Nature statement-placement requirements to ESWA unless separately requested by the editor.

This skill is split into two layers:

  • A static layer under static/ that holds versioned, reusable content fragments (the default stance and source hierarchy, the Chinese-user operating mode, and the workflow with output format).
  • A dynamic layer (this file plus 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.

Routing protocol

Follow these four steps every time the skill is invoked.

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/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.

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, follow core/chinese-mode.md and add the 中文核对 block.

3. Run the workflow

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.

Why this split

  • The static layer is versioned and reviewable; the core stays small for a normal statement.
  • The dynamic layer keeps each invocation cheap: the policy, repository, and FAIR depth load only when a step needs them.
  • The router itself is short on purpose. Update fragments and references, not this file, when adding scope.
  • This structure mirrors nature-writing, nature-polishing, nature-reader, nature-paper2ppt, nature-figure, nature-citation, and nature-response.

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