Skip to content
cccskills
FreePublished on GitHubEnglish overview

nature-data

Draft or review manuscript statements explaining where data and code can be accessed. Organize repository choices, access restrictions, identifiers, and dataset citations, and check metadata that helps others find and reuse the research data.

OriginalShow the original description

Draft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis.

Run score Not tested

See how to install

Good for

  • Draft data and code availability statements
  • Choose repositories and access routes for research data
  • Review dataset citations and metadata
  • Check whether access restrictions are clearly stated

Overview

What it does

Drafts or reviews a manuscript’s Data Availability or Code availability statement. It identifies the data supporting the research and sorts each dataset by access route, such as a public repository, controlled access, or availability within the paper. It clarifies where each dataset can be obtained and under what conditions. It also addresses repository and identifier plans, formal dataset citations, and metadata checks based on FAIR principles to help people find, access, and reuse data.

When it helps

Use it when preparing a manuscript for submission or organizing which research data can be shared and which have restrictions. It can also review or revise only part of an existing statement.

Example requests

  • “Draft a data availability statement that specifies where the data are stored and the conditions for using them.”
  • “Check what information is missing from this statement.”
  • “Review the dataset citations and metadata.”

Notes

Follow the target journal’s instructions. Unknown details, including DOIs, accession numbers, licences, ethics approvals, and access conditions, are marked as unresolved rather than filled in. If data are described as available upon request, the specific reason for the restriction should be checked. General data formatting and statistical analysis are outside its scope.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodIt explicitly forbids inventing identifiers, licences, approvals, or access conditions.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodNo API keys, external tools, or installation steps are specified as prerequisites.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 24, 2026. Treat it as a guide and read the original before installing.

Disagree? Request a re-evaluation

Tell us which point is wrong and why. No login needed. We will check it against the SKILL.md, redo the evaluation, and show the result here.

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

Files included (15)

  • SKILL.md3.8 KB
  • agents/openai.yaml236 B
  • manifest.yaml2.3 KB
  • README_EN.md2.4 KB
  • README.md2.2 KB
  • references/chinese-author-alignment.md4.9 KB
  • references/fair-metadata-checklist.md4.5 KB
  • references/nature-article-requirements.md5.0 KB
  • references/policy-principles.md5.7 KB
  • references/repository-and-identifiers.md4.3 KB
  • references/source-basis.md5.3 KB
  • references/statement-patterns.md7.9 KB
  • static/core/chinese-mode.md1.2 KB
  • static/core/stance.md1.9 KB
  • static/core/workflow.md1.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Nature Data Availability — Router

Routing protocol

For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.

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/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 or requests Chinese guidance, read static/core/chinese-mode.md and add the 中文核对 block unless the user requested statement text only.

3. Run the workflow

For a wording edit or audit of one existing statement, preserve supplied repository identifiers and access conditions and check the affected claims. Report gaps relevant to that statement; do not require a full study-wide dataset inventory or repository redesign. Use the complete workflow below for a new data-sharing plan, full statement, or submission audit.

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.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Search academic literature across sources, verify references, and convert citation files. Build PubMed queries using MeSH, its subject vocabulary, or audit citations to distinguish independent citations and document who cited a paper and how.

  • Search academic literature across multiple sources
  • Verify references extracted from a document
  • Build a MeSH-based PubMed search strategy
Yuan1z0825/nature-skills50.4KUpdated Oct 22, 2026

nature-citation

FreeSummary

Find papers from Nature or a specified Cell, Nature, and Science journal group to support manuscript claims. Check abstracts or publisher pages, map sources to individual claims, and export verified reference details for reference managers.

  • Find Nature-family references for manuscript claims
  • Map supporting papers to individual paragraphs
  • Check whether a paper supports a specific claim
Yuan1z0825/nature-skills50.4KUpdated Oct 22, 2026

Retrieve academic full texts and supporting files through open access, publisher APIs, or authorized institutional access. The skill selects a route for each paper, checks downloaded files, and records sources, formats, and download outcomes.

  • Download papers from a confirmed DOI list
  • Find legally available open-access full texts
  • Retrieve Chinese papers through institutional CNKI access
Yuan1z0825/nature-skills50.4KUpdated Oct 22, 2026

Organize experiment photos, audio, and notes into Markdown logs with structured metadata. Assign experiment and sample batch IDs, archive original attachments, and optionally connect records to Feishu group messages or an Obsidian notebook.

  • Turning experiment photos and voice notes into consistent logs
  • Tracking the same sample batch across multiple experiments
  • Archiving original files with links from experiment logs
Yuan1z0825/nature-skills50.4KUpdated Oct 22, 2026

nature-figure

FreeSummary

Create, revise, and export scientific figures for manuscripts using Python or R. Check panel alignment and overlapping elements, or prepare editable diagrams and explicitly requested AI-generated graphical abstracts that visually summarize a paper.

  • Create scientific plots for a manuscript
  • Review the layout of a multi-panel figure
  • Prepare a graphical abstract
Yuan1z0825/nature-skills50.4KUpdated Oct 22, 2026

nature-image2ppt

FreeSummary

Rebuild slide images, screenshots, scanned PDFs, or image-only presentations as editable PowerPoint files. Reconstruct text and simple shapes as separate objects, retain complex visuals as image assets where needed, and check rendered slides against their sources.

  • Recovering editable slides from screenshots
  • Converting scanned presentation PDFs into PowerPoint
  • Rebuilding diagrams with editable shapes and connectors
Yuan1z0825/nature-skills50.4KUpdated Oct 22, 2026

See all skills by Yuan1z0825

Report a problem with this skill