A growing collection of Claude skills for producing academic work at Nature-journal standard. Covers scientific figures (nature-figure), manuscript prose polishing (nature-polishing), citation retrieval and export (nature-citation), data availability statements and FAIR metadata (nature-data), and paper-to-PPTX presentation conversion (nature-paper2ppt). Future releases planned: statistical reporting, peer-review responses, methods writing, cover letters, and review articles. All rules derived from primary sources — 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). Use when the user needs coordinated multi-step literature workflows beyond a single MCP call.
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.
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.
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.
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.
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。欢迎大家持续关注 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。
Hello everyone, I’m Yuan Yizhe, a PhD student at Shanghai Jiao Tong University. I’m currently working on research and entrepreneurial projects in medical AI. Thank you for your continued interest in nature-skill. If you have any requests, feel free to open an issue. If we find the request meaningful and feasible, we’ll do our best to implement it. We also welcome PRs, but please make sure to follow the submission format described later in the README so that we can review and merge them more efficiently.
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微信群聊 答疑交流群!进群记得12小时内备注
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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/, assets, scripts, or
README context.
Codex can use these folders directly as local skills. This is the simplest installation path.
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/nature-reader ~/.codex/skills/
Install all current skills
mkdir -p ~/.codex/skills
for d in skills/nature-*; do
cp -R "$d" ~/.codex/skills/
done
Update after pulling new changes
git pull
for d in skills/nature-*; do
cp -R "$d" ~/.codex/skills/
done
Finish
Translate this paper into a full markdown reader. or
Make this paper into a Chinese journal-club PPT.If you prefer not to use the terminal, copying the skills/nature-* folder(s) into
~/.codex/skills/ manually works as well. For a longer walkthrough, see
install.md.
Primary method: Plugin marketplace installation
This repository is published as a Claude Code plugin, making installation simple.
# Add the marketplace (one-time)
/plugin marketplace add https://github.com/Yuan1z0825/nature-skills
# Install the plugin
/plugin install nature-skills
# Reload to apply
/reload-plugins
All nine skills are available automatically after reload. No manual wrapper setup needed.
Alternative: subagent wrapper
If you prefer manual control over individual skills, create a user-level subagent:
mkdir -p ~/.claude/agents
cp skills/nature-reader/SKILL.md ~/.claude/agents/nature-reader.md
Then open ~/.claude/agents/nature-reader.md and make sure the frontmatter is valid
for Claude Code subagents:
---
name: nature-reader
description: Full-paper bilingual, figure-aware, source-grounded Markdown reader for journal or conference papers. Use proactively when the user asks to translate an entire paper or generate a complete markdown reader.
---
After that, start a new Claude Code session or open /agents, and invoke it naturally or explicitly:
Use the nature-reader subagent to turn this PDF into a full markdown reader.
If you prefer commands instead of subagents, create a project or user command under
.claude/commands/ or ~/.claude/commands/ and paste or adapt the corresponding
SKILL.md content there.
Official Claude Code docs:
If your agent supports reusable prompt files, system prompts, or agent profiles, the minimum portable unit is the skill directory itself:
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Sign in to claimnpx claudepluginhub 3331083641-prog/nature-skills --plugin nature-skillsA growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.