MCPInstall

nature-data

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.

Installs
265
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/galaxy-dawn/claude-scholar --skill nature-data
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads nature-data automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Nature Data Availability Skill

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.

Chinese-user operating mode

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":

  • Accept Chinese input naturally, but draft the final submission-ready statement in English unless the user explicitly asks for Chinese only.
  • Preserve a short Chinese explanation of unresolved decisions when it helps the author act.
  • Translate intent, not wording. Chinese phrases such as "可向通讯作者索取" are usually too vague for Nature-style English unless the restriction and access process are specified.
  • Convert Chinese repository/status descriptions into precise publication terms: 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.
  • Use references/chinese-author-alignment.md for Chinese terminology, common CN-to-EN failure modes, and bilingual intake questions.

Default stance

  • Treat the Data Availability statement as a link between the paper's claims and the evidence needed to inspect, reproduce, or reuse them.
  • Do not invent DOIs, accession numbers, repository names, licences, embargo dates, ethics approvals, access committees, or data-use conditions.
  • Prefer public, discipline-specific repositories. Use generalist or institutional repositories only when no suitable community repository exists.
  • Describe both newly generated data and reused third-party data.
  • If data cannot be openly shared, state why, who controls access, how requests are evaluated, and what metadata or representative data can still be public.
  • Separate data, code, materials, and protocols unless the journal asks for a combined availability section.
  • Keep this skill focused on availability and metadata. Do not rewrite methods, analyze statistics, or polish the manuscript unless the user asks for those tasks separately.
  • Flag "available upon request" as weak unless there is a specific legal, ethical, commercial, or third-party restriction.

Workflow

  1. Identify the target journal and article type. If journal-specific instructions conflict with this skill, follow the journal.
  2. Inventory every dataset needed to support the main and supplementary results: generated raw data, processed data, figure source data, secondary data, software outputs, models, tables, images, and files underlying statistical analysis.
  3. Classify each dataset into one access route: public repository, controlled access repository, within paper or supplement, reused public source, third-party restricted, available on justified request, or not applicable.
  4. Choose repository and identifier strategy before drafting text. Prefer DOI, accession number, Handle, ARK, or stable repository record over personal websites and temporary cloud links.
  5. Draft the Data Availability statement using explicit dataset-to-location mapping.
  6. Add formal dataset citations for public data that support conclusions.
  7. Run the FAIR and metadata audit before finalizing.
  8. Return ready-to-paste statement text plus any unresolved fields the author must confirm.

Output format

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.

Related files

FileOpen when
references/policy-principles.mdYou need the governing Nature/Springer Nature data-sharing rules or edge-case policy logic
references/chinese-author-alignment.mdThe user writes in Chinese, needs bilingual wording, or provides Chinese availability notes
references/statement-patterns.mdYou need ready-to-adapt Data Availability statement patterns
references/repository-and-identifiers.mdYou need repository choice, accession, DOI, embargo, versioning, or dataset citation guidance
references/fair-metadata-checklist.mdYou need FAIR checks, README metadata, file organization, licences, provenance, or DataCite fields
references/source-basis.mdYou need to justify rules with official sources or check which source supports which rule

Source hierarchy

Use sources in this order:

  1. Target journal instructions and submission system requirements.
  2. Nature Portfolio / Springer Nature data, code, materials, and reporting policies.
  3. Repository-specific requirements and domain community standards.
  4. FAIR principles and DataCite metadata practice.

If a policy detail may have changed, verify the current journal page before giving final submission advice.

FAQ

What does the nature-data skill do?

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.

How do I install nature-data?

Run npx skills add https://github.com/galaxy-dawn/claude-scholar --skill nature-data in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/nature-data/ (personal) or .claude/skills/nature-data/ (project).

Which AI agents can use nature-data?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is nature-data safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains nature-data?

It is published by galaxy-dawn in galaxy-dawn/claude-scholar. It has 265 recorded installs.

More from galaxy-dawn/claude-scholar

View all →

citation-verification

galaxy-dawn/claude-scholar

This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.

Docs & Writing1.5K installs

writing-anti-ai

galaxy-dawn/claude-scholar

This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.

Docs & Writing744 installs

paper-self-review

galaxy-dawn/claude-scholar

This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", "audit claims", "check overclaiming", "verify whether results support claims", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.

review-response

galaxy-dawn/claude-scholar

Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.

results-analysis

galaxy-dawn/claude-scholar

This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.

research-ideation

galaxy-dawn/claude-scholar

This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.

Popular data & databases skills

View category →

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pgcron, pgmq), vector/semantic search (pgvector), and restoring dumps (pgrestore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

OfficialData & Databases462.2K installs

prisma-client-api

prisma/skills

Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update", "delete", "$transaction".

OfficialData & Databases393.5K installs

Deprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.

OfficialData & Databases392.3K installs

prisma-cli

prisma/skills

Prisma ORM 7 CLI reference for existing Prisma 7 applications or explicitly selected Prisma 7 workflows. Covers prisma init, generate, migrate, db, dev, studio, and mcp. For setup, connection repair, or Prisma 8, use prisma-orm-setup; not the Prisma Platform CLI.

OfficialData & Databases390.8K installs

prisma-postgres

prisma/skills

Deprecated compatibility name for prisma-postgres-setup. Use only when a user or existing integration explicitly invokes prisma-postgres; otherwise select prisma-postgres-setup.

OfficialData & Databases384.4K installs

Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, original database-error preservation, and verification.

OfficialData & Databases378.9K installs