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
- dragonadam/nature-skillsedited, first seen Oct 25, 2026
- Luooops/skillsedited, first seen Oct 13, 2026
- yanjumlinnb-boop/nature-skillsedited, first seen Oct 8, 2026
- Yuan1z0825/nature-skillsedited, first seen Aug 31, 2026
- zh123012/claude-skillsedited, first seen Jul 29, 2026
- Delagong950/nature-skillstheir own version, first seen Jul 6, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 8
- Yuan1z0825/nature-skills★ 53k73% same
- Galaxy-Dawn/claude-scholar★ 5.9k14% same
- Chanw-research/claude-code-paper-writing★ 4215% same
- yanjumlinnb-boop/nature-skills★ 1498% same
- dragonadam/nature-skills★ 497% same
- Luooops/skills★ 173% same
- zh123012/claude-skills★ 198% same
- Lling0000/nature-skills★ 015% same
Wrote their own version · 2
- Delagong950/nature-skills★ 4same name
- vcis-wangchenxu/agent_nature-skills★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository21 other files it gives its agents.
- journal-style-learnSkill
- nature-academic-searchSkill
- nature-citationSkill
- nature-downloaderSkill
- nature-experiment-logSkill
- nature-figure-prompt-onlySkill
- nature-figureSkill
- nature-image2pptSkill
- nature-literature-pipelineSkill
- nature-paper2pptSkill
- nature-paper-cardSkill
- nature-paper-to-patentSkill
- nature-polishingSkill
- researchwriteSkill
- nature-readerSkill
- nature-ref-verifierSkill
- nature-responseSkill
- nature-reviewerSkill
- nature-sharedSkill
- nature-statisticsSkill
- nature-writingSkill
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
- Very specific: line 34
When the target is Expert Systems with Applications (ESWA or Expert Syst.
- Distinctive: line 37
Use its Option C data deposit/citation-or-explanation requirement and submission data statement.
- Distinctive: line 39
Do not apply NMI Software Submission Checklist or Nature statement-placement requirements to ESWA unless separately requested by the editor.
- Distinctive: line 48
Do not try to apply the data-availability logic from memory or from this router.
- Distinctive: line 52
Follow these four steps every time the skill is invoked.
- Very specific: line 56
Read manifest.yaml. Then read every file listed under always_load:
- Distinctive: line 74
Do not invent DOIs, accession numbers, repository names, licences, embargo dates, ethics approvals, access committees, or data-use …
- Very specific: line 80
When the target is the flagship journal Nature, also open references/nature-article-requirements.md for statement placement, …
- Very specific: line 85
When the target is Nature Machine Intelligence, open ../nature-shared/journal-formats/nature-machine-intelligence.md.
“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.
Files
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.mdand 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, andnature-response.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

