By Yuan1z0825
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.
npx claudepluginhub yuan1z0825/nature-skills --plugin nature-skillsAdd 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, 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 performs lightweight verification with cross-platform Python tooling by default.
Polish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English Writing & Communication, with phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.
Build full-text bilingual, figure-aware, source-grounded Markdown reading files for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate an entire paper, make a complete markdown reader, preserve figure or table placement near the relevant prose, or keep exact source anchors for every block. Do not use this for summaries, bullet-keyword notes, or citation-only tasks.
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer.
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Sign in to claimProduction-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. Ships 4 skills (deep-research, academic-paper, academic-paper-reviewer, academic-pipeline) covering 35+ modes, 32-agent ensemble, Material Passport handoff schema, v3.6.7 cross-model audit gate (synthesis + research-architect + report-compiler pattern protection layer), and v3.6.8 generator-evaluator contract for paper drafting.
16-Skill Claude Code plugin for academic paper writing, polishing, and submission.
Multi-agent orchestrator for academic writing: 12 specialist agents and 30 writing principles for review, research, drafting, polishing, bibliography auditing, and literature surveys.
Collection of academic skills based on effortlessacademic.com note taking ideas like atomic sentences.
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Publication-quality scientific figures: icons, plots, react-pdf composition, and visual QA for Nature/Science/PNAS journals
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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nature-skills is a repository of reusable instruction bundles centred on SKILL.md.
Each top-level nature-* directory is one installable unit. The exact installation method
depends on which coding agent you use.
Codex can 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 nature-reader ~/.codex/skills/
Install all current skills
mkdir -p ~/.codex/skills
for d in 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 nature-* folder(s) into
~/.codex/skills/ manually works as well.
Claude Code does not currently load Codex-style SKILL.md folders as native skills.
Its closest reusable primitives are:
~/.claude/agents/ or .claude/agents/~/.claude/commands/ or .claude/commands/The recommended approach is to convert a skill into a subagent.
Create a user-level subagent
mkdir -p ~/.claude/agents
cp 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:
nature-<topic>/
├── README.md
├── SKILL.md
└── references/...
In that case:
SKILL.md and any references/ files together.