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yuan1z0825/nature-academic-search

Pesquisa de literatura em múltiplas fontes, verificação de citações, estratégia de pesquisa MeSH, gerenciamento de arquivos de citação (conversão .nbib/.ris/.bib) e gerenciamento de referências (BibTeX, artigos relacionados, conversão de IDs) por meio de ferramentas MCP (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use quando o usuário precisar de fluxos de trabalho coordenados de várias etapas na literatura além de uma única chamada MCP. Também dispare para necessidades gerais de pesquisa de literatura durante a redação acadêmica, mesmo sem a palavra 'Nature', como busca de artigos/literatura, revisão da literatura, verificação de uma citação, conversão de arquivos de citação e expressões em chinês como 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.

O que é nature-academic-search?

Esta habilidade capacita um assistente de IA (como Claude Code, Cursor, ou Codex) a realizar tarefas abrangentes de pesquisa acadêmica e gerenciamento de referências. Ela integra múltiplas fontes de dados, incluindo PubMed, CrossRef, arXiv, Scopus e ScienceDirect, através de ferramentas MCP (Model Context Protocol). Isso permite coordenar fluxos de trabalho complexos em várias etapas, como realizar pesquisas bibliográficas, verificar citações, construir estratégias de busca MeSH, converter arquivos de citação entre formatos (.nbib, .ris, .bib) e gerenciar referências bibliográficas completas (BibTeX, artigos relacionados, conversão de IDs). É acionada não apenas por comandos explícitos, mas também por inferências contextuais durante a redação acadêmica, incluindo frases em português como 'pesquisar artigos', 'revisão de literatura', 'verificar citação', e suas equivalentes em chinês, garantindo uma assistência fluida e abrangente.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/yuan1z0825/nature-skills/tree/main/skills/nature-academic-search

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O que nature-academic-search faz?

Pesquisa de literatura em múltiplas fontes, verificação de citações, estratégia de pesquisa MeSH, gerenciamento de arquivos de citação (conversão .nbib/.ris/.bib) e gerenciamento de referências (BibTeX, artigos relacionados, conversão de IDs) por meio de ferramentas MCP (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use quando o usuário precisar de fluxos de trabalho coordenados de várias etapas na literatura além de uma única chamada MCP. Também dispare para necessidades gerais de pesquisa de literatura durante a redação acadêmica, mesmo sem a palavra 'Nature', como busca de artigos/literatura, revisão da literatura, verificação de uma citação, conversão de arquivos de citação e expressões em chinês como 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.

Individual skills in this repo

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

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-response

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. Also trigger on general peer-review response needs during academic writing/revision even without the word "Nature", such as replying to reviewers for any journal, writing a rebuttal/response letter, handling revision comments, and Chinese phrasings like 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.

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.

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