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yuan1z0825/nature-response

Verfassen, prüfen oder überarbeiten Sie punktuelle Antwortschreiben auf Gutachterkommentare bei Manuskriptrevisionen für Nature-Fachzeitschriften und andere Journale.

Was ist nature-response?

Dieses Skill unterstützt Wissenschaftler und Autoren beim Erstellen, Prüfen und Überarbeiten von punktuellen Antwortschreiben auf Gutachterkommentare im Rahmen von Manuskriptrevisionen. Es ist speziell für Nature-Fachzeitschriften optimiert, funktioniert aber auch für andere Journale. Das Skill erkennt eine Vielzahl von Auslösern – von englischen Begriffen wie „rebuttal letter“ und „response to reviewers“ bis hin zu chinesischen Formulierungen wie „审稿意见回复“ oder „返修“. Es analysiert die vom Benutzer bereitgestellten Materialien (Gutachterkommentare, Entscheidungsschreiben, Revisionsnotizen oder vorhandene Antwortentwürfe) und generiert einen strukturierten, höflichen und fachlich präzisen Antwortentwurf. Der Fokus liegt auf einer klaren, direkten Beantwortung jedes Punktes, wobei die akademische Etikette und die Richtlinien der Zeitschrift eingehalten werden. Das Skill ist als Konfigurationsdatei für Codierungsassistenten wie Claude Code, Cursor oder Codex konzipiert und lässt sich leicht in den Workflow integrieren. Es ist besonders nützlich in stressigen Revisionsphasen, da es Zeit spart und die Qualität der Antworten sicherstellt.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/yuan1z0825/nature-skills/tree/main/skills/nature-response

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Dokumentation

Was macht nature-response?

Verfassen, prüfen oder überarbeiten Sie punktuelle Antwortschreiben auf Gutachterkommentare bei Manuskriptrevisionen für Nature-Fachzeitschriften. Verwenden Sie das Skill, wenn der Benutzer Gutachterkommentare, Entscheidungsschreiben der Redaktion, Revisionsnotizen, Antwortentwürfe bereitstellt oder fragt, wie er auf Haupt-/Nebenrevisionsanfragen, Rebuttal-Schreiben, Antworten an Gutachter, Peer-Review-Berichte, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复 oder 如何回复 reviewer reagieren soll. Das Skill wird auch bei allgemeinen Anforderungen an Peer-Review-Antworten während des akademischen Schreibens/der Revision ausgelöst, selbst ohne das Wort „Nature“, wie z. B. beim Antworten an Gutachter für jedes Journal, beim Verfassen eines Rebuttal-/Antwortschreibens, beim Umgang mit Revisionskommentaren und bei chinesischen Formulierungen wie 回复审稿人、审稿回复、返修、 修改稿回复、写rebuttal、回应审稿意见、应对审稿.

Individual skills in this repo

This repo contains 8 individual skills — each has its own dedicated page.

yuan1z0825/nature-academic-search

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.

yuan1z0825/nature-citation

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.

yuan1z0825/nature-data

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.

yuan1z0825/nature-figure

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.

yuan1z0825/nature-paper2ppt

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.

yuan1z0825/nature-polishing

Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and 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.

yuan1z0825/nature-reader

Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make 中英文对照/原文对照/全文翻译解读, extract figures or tables into the right positions, preserve figure/table placement near relevant prose, or keep exact source anchors for every block. This skill must not degrade into a summary-only output unless the user explicitly asks for a summary. Also trigger on general paper-reading and translation requests even without the word "Nature", such as reading/translating an academic paper, literature reading, understanding a paper, and Chinese phrasings like 读论文、精读论文、论文翻译、文献翻译、文献阅读、学术阅读、帮我读这篇文章、翻译这篇paper.

yuan1z0825/nature-writing

Draft, restructure, or plan Nature-style manuscript sections from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, results narrative, discussion, conclusion, title, or full manuscript argument rather than only polish finished prose.

Verwandte Skills

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

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langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

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