📄
WritingPython

Nature Data Availability

by Galaxy-Dawn

Nature Data Availability is a Writing skill for Claude Code, published by Galaxy-Dawn in claude-scholar.

5.1K stars415 forkson Galaxy-Dawn/claude-scholarAdded 2026/08/16+1% in starsRepository updated 2026/07/17
academic-researchai-agentsclaudeclaude-codecodex-clideveloper-toolskimi-codemcpopenai-codexopencodepaper-writingzotero
Install in seconds
Install Nature Data Availability
Copy Nature Data Availability into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data ~/.claude/skills/nature-data

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Galaxy-Dawn/claude-scholar.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/nature-data/SKILL.md in Galaxy-Dawn/claude-scholar
Installs to
~/.claude/skills/nature-data
Collection
One of 25 skills cataloged from this repository
Category
Writing1012 skills

What Nature Data Availability does

Nature Data Availability prepares, audits, or revises Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use it when preparing a submission or responding to reviewer requests for data sharing, repository selection, accession numbers, or restricted-data access wording.

Nature Data Availability is cataloged under Writing on DirSkills. Nature Data Availability comes from a repository tagged academic-research, ai-agents, claude, claude-code and codex-cli.

Documentation

README

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.

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":

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Nature Data Availability

  • What else does Galaxy-Dawn publish alongside Nature Data Availability?

    Nature Data Availability is one of 25 skills that DirSkills catalogs from Galaxy-Dawn/claude-scholar, the repository it ships in. Its siblings there include Agent Identifier, Architecture Design and Bug Detective. Each one is a separate skill with its own page in this directory, installs the same way Nature Data Availability does, and is maintained by Galaxy-Dawn in that same repository. The rest of the collection is listed on the Galaxy-Dawn/claude-scholar page.

  • How does Nature Data Availability compare to other Writing skills?

    Nature Data Availability ranks #145 by stars among the 1012 Writing skills in this catalog. The most-starred ones next to it are Article Writing, Social Media Content Calendar and Knowledge Comic Creator. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Nature Data Availability against them. Open each page to compare what they document and how they install.

More from Galaxy-Dawn/claude-scholar

Nature Data Availability is one of 25 skills cataloged on DirSkills from Galaxy-Dawn/claude-scholar.

See all 25 skills
🤖
2w ago

Agent Identifier

Agent Identifier helps you create and configure Claude Code agents, including YAML frontmatter, triggering descriptions, system prompts, model, color, and tool settings. Use it when setting up autonomous subagents, writing agent frontmatter, or designing agent behavior.
AI Engineering
5.1K415
🏗️
2w ago

Architecture Design

Architecture Design defines the standard code architecture for machine learning projects using Factory and Registry patterns. Use it when creating new registrable ML components such as datasets, models, or modules that require decorators and factory wiring.
AI Engineering
5.1K415
🔍
2w ago

Bug Detective

Bug Detective provides a systematic debugging workflow for investigating and resolving code errors, exceptions, and failures. Use it when debugging, fixing errors, or troubleshooting broken code.
Quality
5.1K415
🔍
2w ago

Citation Verification

Citation Verification provides reference guidance for verifying academic citations during paper writing. Use it when checking citation accuracy, preventing fake citations, or integrating verification into an ML paper workflow.
Writing
5.1K415
🔍
2w ago

Code Review Excellence

Code Review Excellence provides principles, checklists, and techniques for reviewing diffs and pull requests, writing actionable feedback, and establishing team review standards. Use it when auditing code quality, mentoring developers, or improving review cycles.
Quality
5.1K415
📝
2w ago

Command Development

Command Development guides creating Claude Code slash commands, covering Markdown structure, YAML frontmatter, dynamic arguments, file references, and bash execution. Use it when building reusable, interactive, or namespaced commands for agent workflows.
AI Engineering
5.1K415