A growing collection of Claude-compatible academic workflow bundles for producing work at Nature-journal standard. Covers scientific figures (nature-figure), manuscript prose polishing (nature-polishing), manuscript drafting and methods writing (nature-writing), reviewer-style pre-submission assessment (nature-reviewer), citation retrieval and export (nature-citation), data availability statements and FAIR metadata (nature-data), paper-to-PPTX presentation conversion (nature-paper2ppt), literature search via MCP (nature-academic-search), paper reading and annotation (nature-reader), and peer-review response drafting (nature-response). Future releases planned: statistical reporting, cover letters, and review articles. Rules are derived from primary sources, including published Nature papers, journal author guidelines, and structured writing curricula.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Multi-source literature search, citation verification, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use when the user needs coordinated multi-step literature workflows beyond a single MCP call. Also trigger on general literature-search needs during academic writing even without the word "Nature", such as searching for papers/literature, doing a literature review, verifying a citation, converting citation files, and Chinese phrasings like 文献检索、查文献、找文献、 文献综述检索、查论文、引文核对、参考文献管理、文献去重.
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default. Use this skill whenever the user asks to input text and automatically get references, add citations to a paragraph/manuscript, find Nature-series or CNS support for statements, create text-to-reference correspondence, "分段引用", "自动给出引用", "Nature系列引用", "CNS及子刊", "支撑文献", "补引用", "找引用", or export EndNote/RIS/ENW/Zotero RDF. Also trigger on general academic-writing citation needs even without the word "Nature", such as adding references while writing a paper, finding sources/literature for a claim, building a reference list, citation/referencing for academic writing, and Chinese phrasings like 学术写作引用、写论文加引用、写paper找文献、加参考文献、配文献、引用文献、文献支撑.
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.
Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family or other high-impact journals. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, and Chinese phrasings like 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化.
Build a complete but efficient Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group meeting, paper sharing, thesis seminar, lab meeting, department report, or academic presentation from a research paper, not only medical papers. It identifies the paper type and argument, selects only the figures needed for the story, writes Chinese slide content and speaker notes, creates the actual .pptx deck, and runs an explicit self-review/corrective revision loop focused on figure quality, text overflow prevention, and non-template visual design before delivery. Also trigger on general academic-presentation requests even without the word "Nature", such as turning a paper into slides, building an academic talk deck, conference/defense presentations, and Chinese phrasings like 论文做PPT、论文汇报、组会PPT、文献汇报、学术汇报、做幻灯片、讲paper、读书报告PPT.
大家好,我是上海交通大学博士生袁一哲,目前主要从事医疗 AI 相关的研究与创业实践,计划落地浦东张江!有病理专病或者泛癌万人以上队列的朋友,正在创业的伙伴亦或者欣赏我的投资人等等可以添加我的个人微信,务必备注来意。感谢大家持续关注 nature-skill。如果你有任何需求,欢迎提交 issue;如果我们认为该需求有意义且可行,也会尽量推进实现。我们同样欢迎 PR,但请务必按照 README 后面说明的格式提交,以便我们更高效地审核与合并。
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个人微信 |
个人介绍 |
Hello everyone, I'm Yizhe Yuan, a Ph.D. candidate at Shanghai Jiao Tong University. My work primarily focuses on Medical AI research and entrepreneurial initiatives, and I am currently planning to establish related ventures in Zhangjiang, Pudong (Shanghai). If you have access to disease-specific pathology cohorts or large-scale pan-cancer cohorts (10,000+ patients), are building a startup in a related field, or are an investor interested in my work, feel free to connect with me via WeChat. Please include a brief note explaining the purpose of your contact request. Thank you for your continued interest in nature-skill. If you have any feature requests or suggestions, please feel free to submit an Issue. If we find the proposal meaningful and feasible, we will do our best to implement it. We also welcome Pull Requests (PRs). However, please follow the contribution format described later in this README to help us review and merge submissions more efficiently.
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还在寻找能够落地的 AI 前沿交叉赛道吗?我们课题组现向对“医学 + AI”充满热情的你发出邀请! 这里有充足的计算资源,以及深耕医疗大模型(LLM)、视觉预训练、Prompt Engineering 及自动化医疗 AI Agent 的科研团队。我们更看重你的自驱力、学习能力与科研产出追求。 项目信息文档链接:https://iigqjt2m4ia.feishu.cn/wiki/VIvDwHu18iTc6mk411xco8chnJb 密码:664#N926 如果你有相关代码基础或项目经验,渴望在顶级交叉学科中积累成果,请将简历发送至: 📧 [email protected] (标题格式:姓名-专业-医学AI科研申请) 期待与你在 AI 赋能医疗的征途中,做出最扎实的科研工作! |
nature-skills is a repository of reusable instruction bundles centred on SKILL.md.
Each skills/nature-* directory is one installable unit. Copy the whole folder, not
only SKILL.md, because many skills depend on references/, static/, assets,
scripts, or README context. The skills/_shared/ directory is shared support
content used by several skills and should stay next to the nature-* folders
when you install skills manually.
Codex plugin marketplace installation
This repository includes Codex plugin packaging at plugins/nature-skills/, so
Codex users can install the complete Nature Skills bundle from the plugin
marketplace instead of copying each skill folder manually.
CLI installation:
codex plugin marketplace add https://github.com/Yuan1z0825/nature-skills --ref main
codex plugin add nature-skills@nature-skills
Codex Desktop users can add the same repository as a custom plugin marketplace:
https://github.com/Yuan1z0825/nature-skills.gitmainnature-skillsAfter installation, all nature-* skills are available through the plugin as a
complete bundle, together with the shared support directory used by the newer
router-style skills. If the skills do not appear immediately, refresh the plugin
page or start a new Codex session.
Manual local-skill installation
Codex can also use these folders directly as local skills.
Clone the repo
git clone https://github.com/Yuan1z0825/nature-skills.git
cd nature-skills
Install one skill
mkdir -p ~/.codex/skills
cp -R skills/_shared ~/.codex/skills/
cp -R skills/nature-reader ~/.codex/skills/
Copying _shared is harmless even for skills that do not use it, and it avoids
broken relative references for skills such as nature-reader, nature-writing,
nature-polishing, and nature-paper2ppt.
Install all current skills
mkdir -p ~/.codex/skills
cp -R skills/_shared ~/.codex/skills/
for d in skills/nature-*; do
cp -R "$d" ~/.codex/skills/
done
Update after pulling new changes
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