Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
Install Nature Data
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nature-data .claude/skills/nature-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nature-data" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data into .claude/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nature-data .agents/skills/nature-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-data" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data into .agents/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nature-data .cursor/skills/nature-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nature-data" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data into .cursor/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Galaxy-Dawn/claude-scholar.git --path skills/nature-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nature-data .gemini/skills/nature-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nature-data" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data into .gemini/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Galaxy-Dawn/claude-scholar nature-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nature-data .github/skills/nature-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nature-data" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data into .github/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nature-data .opencode/skills/nature-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nature-data" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-data into .opencode/skills/nature-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nature-data- GitHub stars
- 5.7k
- Used in
- 3 other repos
- Token cost
- ~1.6k tokens
- SKILL.md length
- 694 words
- Files
- 9 (incl. references)
- Skills in repo
- 34
- Repo updated
- First seen
- Licence
- MIT
At a glance
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
- Works in 8 steps: Identify the target journal and article… → Inventory every dataset needed to… → Classify each dataset into one access… → …
- The user asks about Nature data availability
- SKILL.md covers Chinese-user operating mode, Default stance, Workflow and Output format, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Nature Data is an agent skill from Galaxy-Dawn/claude-scholar. 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…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `references/chinese-author-alignment.md`).
It sits in Research & Science, covering Citation management. The repository describes itself as: Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding… The licence is MIT.
When your agent uses it
- The user asks about Nature data availability
- Research data sharing
- Repository selection
- Accession numbers
Example prompts
- “/nature-data”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Identify the target journal and article type. If journal-specific instructions conflict with
- Inventory every dataset needed to support the main and supplementary results
- Classify each dataset into one access route
- Choose repository and identifier strategy before drafting text. Prefer DOI, accession number,
- Draft the Data Availability statement using explicit dataset-to-location mapping.
- Add formal dataset citations for public data that support conclusions.
- Run the FAIR and metadata audit before finalizing.
- Return ready-to-paste statement text plus any unresolved fields the author must confirm.
What it can do on your machine
Read from SKILL.md and the folder at commit 9037873. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nature Data loads about 1.6k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 136 tokens; SKILL.md has 694 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Galaxy-Dawn/claude-scholar at commit 9037873, republished under its MIT licence (© Galaxy-Dawn). 694 words, ~1,635 tokens.
Download SKILL.mdSave it as
.claude/skills/nature-data/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- nature-data
- description
- 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.
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.mdfor 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.
Show full SKILL.md (314 more words)Show less
Workflow
- Identify the target journal and article type. If journal-specific instructions conflict with this skill, follow the journal.
- 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.
- 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, ornot applicable. - 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.
- Draft the Data Availability statement using explicit dataset-to-location mapping.
- Add formal dataset citations for public data that support conclusions.
- Run the FAIR and metadata audit before finalizing.
- 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
| File | Open when |
|---|---|
| references/policy-principles.md | You need the governing Nature/Springer Nature data-sharing rules or edge-case policy logic |
| references/chinese-author-alignment.md | The user writes in Chinese, needs bilingual wording, or provides Chinese availability notes |
| references/statement-patterns.md | You need ready-to-adapt Data Availability statement patterns |
| references/repository-and-identifiers.md | You need repository choice, accession, DOI, embargo, versioning, or dataset citation guidance |
| references/fair-metadata-checklist.md | You need FAIR checks, README metadata, file organization, licences, provenance, or DataCite fields |
| references/source-basis.md | You need to justify rules with official sources or check which source supports which rule |
Source hierarchy
Use sources in this order:
- Target journal instructions and submission system requirements.
- Nature Portfolio / Springer Nature data, code, materials, and reporting policies.
- Repository-specific requirements and domain community standards.
- FAIR principles and DataCite metadata practice.
If a policy detail may have changed, verify the current journal page before giving final submission advice.
© Galaxy-Dawn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (references) in skills/nature-data of Galaxy-Dawn/claude-scholar.
- SKILL.md
- README.md
- agents/openai.yaml
- references/chinese-author-alignment.md
- references/fair-metadata-checklist.md
- references/policy-principles.md
- references/repository-and-identifiers.md
- references/source-basis.md
- references/statement-patterns.md
Open the folder on GitHubat commit 9037873
Used in 3 other repositories
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Galaxy-Dawn/claude-scholar, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Nature Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nature Data this skillGalaxy-Dawn/claude-scholar | 5.7k | 3 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| NetworkxzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence |
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Related
Categories
Questions about Nature Data
What does Nature Data do?
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Nature Data is an agent skill from Galaxy-Dawn/claude-scholar. Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
When should I use Nature Data?
Nature Data fits situations like: the user asks about Nature data availability; research data sharing; repository selection; accession numbers.
How do I install Nature Data in Claude Code?
Run `npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a claude-code`. Or copy the skill folder (skills/nature-data in Galaxy-Dawn/claude-scholar) into .claude/skills/nature-data in your project. Claude Code loads it when a task matches its description.
How do I install Nature Data in Codex?
Run `npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a codex`. Or copy the skill folder (skills/nature-data in Galaxy-Dawn/claude-scholar) into .agents/skills/nature-data in your project. Codex loads it when a task matches its description.
Can I use Nature Data in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Galaxy-Dawn/claude-scholar --skill nature-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-data, .gemini/skills/nature-data, .github/skills/nature-data and .opencode/skills/nature-data in your project.
What does Nature Data need to run?
SKILL.md names no scripts, command-line tools or credentials: Nature Data is instructions for the agent only.
Does Nature Data access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Nature Data safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nature Data use?
Nature Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nature Data use?
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.8k tokens, read only when the agent opens those files.
What are the alternatives to Nature Data?
Skills that share tags, products or a category with Nature Data: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nature Data?
Galaxy-Dawn (a GitHub user) maintains it in Galaxy-Dawn/claude-scholar, which has 5,717 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on September 23, 2026.
Source: Galaxy-Dawn/claude-scholar on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.