Norman-bury/research-writing-skill

"name": "Norman-bury"   },   "homepage": "https://github.com/Norman-bury/research-writing-skill",

},   "homepage": "https://github.com/Norman-bury/research-writing-skill",   "repository": "https://github.com/Norman-bury/research-writing-skill",

"homepage": "https://github.com/Norman-bury/research-writing-skill",

"repository": "https://github.com/Norman-bury/research-writing-skill",

git clone https://github.com/Norman-bury/research-writing-skill.git ~/.codex/research-writing-skill

rm ~/.agents/skills/research-writing

可选：删除克隆的仓库：`rm -rf ~/.codex/research-writing-skill`

"name": "Norman-bury"   },   "homepage": "https://github.com/Norman-bury/research-writing-skill",

},   "homepage": "https://github.com/Norman-bury/research-writing-skill",   "repository": "https://github.com/Norman-bury/research-writing-skill",

"homepage": "https://github.com/Norman-bury/research-writing-skill",

"repository": "https://github.com/Norman-bury/research-writing-skill",

- [OpenCode.ai](https://opencode.ai) 已安装

{   "plugin": ["research-writing-assistant@git+https://github.com/Norman-bury/research-writing-skill.git"]

"plugin": ["research-writing-assistant@git+https://github.com/Norman-bury/research-writing-skill.git"]

rm -f ~/.config/opencode/plugins/research-writing.js

rm -rf ~/.config/opencode/skills/research-writing

rm -rf ~/.config/opencode/research-writing-skill

{   "plugin": ["research-writing-assistant@git+https://github.com/Norman-bury/research-writing-skill.git#v3.1.0"]

"plugin": ["research-writing-assistant@git+https://github.com/Norman-bury/research-writing-skill.git#v3.1.0"]

- 报告问题：https://github.com/Norman-bury/research-writing-skill/issues

- 完整文档：https://github.com/Norman-bury/research-writing-skill

格式基于 [Keep a Changelog](https://keepachangelog.com/zh-CN/1.0.0/)。

git clone https://github.com/Norman-bury/research-writing-skill.git

git clone https://github.com/Norman-bury/research-writing-skill.git

Read Write Edit Bash WebSearch

Executable file

#!/usr/bin/env bash

- [清华大学 ThuThesis](https://github.com/tuna/thuthesis)

- [中国科学院大学 ucasthesis](https://github.com/mohuangrui/ucasthesis)

- [北京大学 PKUThesis](https://github.com/CasperVector/pkuthss)

- [浙江大学 ZJUThesis](https://github.com/TheNetAdmin/zjuthesis)

- [上海交通大学 SJTUThesis](https://github.com/sjtug/SJTUThesis)

- IEEE: [IEEEtran](https://www.ieee.org/conferences/publishing/templates.html)

- Elsevier: [elsarticle](https://www.elsevier.com/authors/policies-and-guidelines/latex-instructions)

- Springer: [svjour3](https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/book-manuscript-guidelines/manuscript-preparation/5636)

ARCH="$(uname -m)" if [ "$ARCH" = "arm64" ]; then   URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh"

if [ "$ARCH" = "arm64" ]; then   URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh" else

URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh"

else   URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh" fi

URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh"

# 2) 下载并静默安装 INSTALLER="$HOME/Downloads/miniconda.sh" curl -fsSL "$URL" -o "$INSTALLER"

INSTALLER="$HOME/Downloads/miniconda.sh" curl -fsSL "$URL" -o "$INSTALLER" bash "$INSTALLER" -b -p "$HOME/miniconda3"

curl -fsSL "$URL" -o "$INSTALLER"

# 1) 下载 $installer = Join-Path $env:TEMP "Miniconda3-latest-Windows-x86_64.exe" Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer

Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer

pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

### 7.1 在线编辑器 - **Overleaf**: https://www.overleaf.com/ （推荐，支持协作）

- **Overleaf**: https://www.overleaf.com/ （推荐，支持协作）

- **TeXPage**: https://www.texpage.com/ （国内访问快）

- 各高校研究生院官网 - GitHub搜索"[学校名] thesis template" - CTAN: https://ctan.org/

- CTAN: https://ctan.org/

### 8.2 期刊/会议模板 - IEEE: https://www.ieee.org/conferences/publishing/templates.html

- IEEE: https://www.ieee.org/conferences/publishing/templates.html

- ACM: https://www.acm.org/publications/proceedings-template

### 8.3 中文模板 - CTeX: https://github.com/CTeX-org

- CTeX: https://github.com/CTeX-org

Author, A. A., & Author, B. B. (Year). Title. Journal, Volume(Issue), pages. https://doi.org/xxx

**搜索步骤**： 1. 访问 https://www.cnki.net/

1. 访问 https://www.cnki.net/

- OpenAI Prompt Engineering（强调指令清晰、任务具体、输出格式明确）     https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api

https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api

- Anthropic Prompting Guide（强调明确目标、可操作约束、结构化输出）     https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview - Microsoft Azure OpenAI Prompt Engineering（强调角色、上下文、格式与约束联合指定）

https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview

- Microsoft Azure OpenAI Prompt Engineering（强调角色、上下文、格式与约束联合指定）     https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-engineering - Purdue OWL: Conciseness（强调删除冗余、减少空转句式、保留高信息表达）

https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-engineering

- Purdue OWL: Conciseness（强调删除冗余、减少空转句式、保留高信息表达）     https://owl.purdue.edu/owl/general_writing/academic_writing/conciseness/index.html - Nature Masterclasses: Clear writing (English)（强调主动语态、短句和清晰逻辑）

https://owl.purdue.edu/owl/general_writing/academic_writing/conciseness/index.html

- Nature Masterclasses: Clear writing (English)（强调主动语态、短句和清晰逻辑）     https://masterclasses.nature.com/online-course-in-scientific-writing-and-publishing/16507862 - University of Nevada Reno Writing Speaking Center（强调主动语态、减少名词化、保持可读性）

https://masterclasses.nature.com/online-course-in-scientific-writing-and-publishing/16507862

https://www.unr.edu/writing-speaking-center/student-resources/writing-speaking-resources/active-voice

- APA Style Guide: https://apastyle.apa.org/

1. EQUATOR reporting guidelines 检索库 - https://www.equator-network.org/reporting-guidelines/

- https://www.equator-network.org/reporting-guidelines/

2. PRISMA 2020（27-item + flow diagram） - https://www.prisma-statement.org/prisma-2020-statement

- https://www.prisma-statement.org/prisma-2020-statement

- https://www.prisma-statement.org/prisma-2020-checklist

3. SPIRIT/CONSORT 2025（protocol 与 RCT 报告） - https://www.consort-spirit.org/

- https://www.consort-spirit.org/

4. STROBE 观察性研究清单 - https://www.strobe-statement.org/checklists/

- https://www.strobe-statement.org/checklists/

5. ICMJE Recommendations（站点显示更新：2026-01） - https://www.icmje.org/recommendations

- https://www.icmje.org/recommendations

- https://www.icmje.org/recommendations/browse/manuscript-preparation/sending-the-submission.html

- https://www.icmje.org/recommendations/browse/artificial-intelligence/ai-use-by-authors.html

6. 文献与作者元数据生态 - Crossref REST API: https://www.crossref.org/documentation/retrieve-metadata/rest-api/

- Crossref REST API: https://www.crossref.org/documentation/retrieve-metadata/rest-api/

- OpenAlex Works Search: https://docs.openalex.org/api-entities/works/search-works

- ORCID Public API: https://info.orcid.org/what-is-orcid/services/public-api/

7. 引用与软件/数据可引用性 - Zotero Word Processor Integration: https://www.zotero.org/support/word_processor_integration

- Zotero Word Processor Integration: https://www.zotero.org/support/word_processor_integration

- GitHub CITATION.cff: https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files

- Zenodo CITATION.cff: https://help.zenodo.org/docs/github/describe-software/citation-file/

8. 数据与复现 - FAIR principles (Sci Data 2016): https://www.nature.com/articles/sdata201618

- FAIR principles (Sci Data 2016): https://www.nature.com/articles/sdata201618

- DataCite Schema 4.6 (Released 2024-12-05): https://schema.datacite.org/

- CRediT taxonomy (NISO): https://credit.niso.org/

### 法律数据库 - 北大法宝: https://www.pkulaw.com/

- 北大法宝: https://www.pkulaw.com/

- 威科先行: https://law.wkinfo.com.cn/

- 中国裁判文书网: https://wenshu.court.gov.cn/

### 报告规范网站 - EQUATOR Network: https://www.equator-network.org/

- EQUATOR Network: https://www.equator-network.org/

- CONSORT: http://www.consort-statement.org/

- STROBE: https://www.strobe-statement.org/

- PRISMA: http://www.prisma-statement.org/

### 临床试验注册 - 中国临床试验注册中心: http://www.chictr.org.cn/

- 中国临床试验注册中心: http://www.chictr.org.cn/

- ClinicalTrials.gov: https://clinicaltrials.gov/

Executable file

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#!/usr/bin/env bash

#!/usr/bin/env python3

#!/usr/bin/env python3

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#!/usr/bin/env python3

#!/usr/bin/env python3

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def __init__(self, email: str = "research@example.com"):         self.email = email         self.session = requests.Session()

def __init__(self, email: str = "research@example.com"):         self.email = email         self.session = requests.Session()

self.email = email         self.session = requests.Session()         self.session.headers.update({"User-Agent": f"ScholarSearch/1.0 (mailto:{email})"})

self.email = email         self.session = requests.Session()         self.session.headers.update({"User-Agent": f"ScholarSearch/1.0 (mailto:{email})"})

self.session = requests.Session()

self.session = requests.Session()

search_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"

search_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"

results = []         fetch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"

results = []         fetch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"

fetch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"

fetch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"

"abstract": None,  # Requires efetch                         "citations": None,                         "url": f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",

"abstract": None,  # Requires efetch                         "citations": None,                         "url": f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",

"citations": None,                         "url": f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",                     })

"citations": None,                         "url": f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",                     })

"url": f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",

"url": f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",

url = "https://api.crossref.org/works"

url = "https://api.crossref.org/works"

"abstract": item.get("abstract"),                 "citations": item.get("is-referenced-by-count", 0),                 "url": f"https://doi.org/{item['DOI']}" if item.get("DOI") else None,

"abstract": item.get("abstract"),                 "citations": item.get("is-referenced-by-count", 0),                 "url": f"https://doi.org/{item['DOI']}" if item.get("DOI") else None,

"citations": item.get("is-referenced-by-count", 0),                 "url": f"https://doi.org/{item['DOI']}" if item.get("DOI") else None,             })

"citations": item.get("is-referenced-by-count", 0),                 "url": f"https://doi.org/{item['DOI']}" if item.get("DOI") else None,             })

"url": f"https://doi.org/{item['DOI']}" if item.get("DOI") else None,

"url": f"https://doi.org/{item['DOI']}" if item.get("DOI") else None,

url = "https://api.semanticscholar.org/graph/v1/paper/search"

url = "https://api.semanticscholar.org/graph/v1/paper/search"

"citations": paper.get("citationCount", 0),                 "pdf_url": oa_pdf.get("url") if oa_pdf else None,                 "url": f"https://www.semanticscholar.org/paper/{paper.get('paperId')}" if paper.get("paperId") else None,

"citations": paper.get("citationCount", 0),                 "pdf_url": oa_pdf.get("url") if oa_pdf else None,                 "url": f"https://www.semanticscholar.org/paper/{paper.get('paperId')}" if paper.get("paperId") else None,

"pdf_url": oa_pdf.get("url") if oa_pdf else None,                 "url": f"https://www.semanticscholar.org/paper/{paper.get('paperId')}" if paper.get("paperId") else None,             })

"pdf_url": oa_pdf.get("url") if oa_pdf else None,                 "url": f"https://www.semanticscholar.org/paper/{paper.get('paperId')}" if paper.get("paperId") else None,             })

"url": f"https://www.semanticscholar.org/paper/{paper.get('paperId')}" if paper.get("paperId") else None,

"url": f"https://www.semanticscholar.org/paper/{paper.get('paperId')}" if paper.get("paperId") else None,

search_query = f"all:{query}"         url = f"http://export.arxiv.org/api/query?search_query={quote(search_query)}&start=0&max_results={limit}"

search_query = f"all:{query}"         url = f"http://export.arxiv.org/api/query?search_query={quote(search_query)}&start=0&max_results={limit}"

url = f"http://export.arxiv.org/api/query?search_query={quote(search_query)}&start=0&max_results={limit}"

url = f"http://export.arxiv.org/api/query?search_query={quote(search_query)}&start=0&max_results={limit}"

root = ET.fromstring(response.content)         ns = {             "atom": "http://www.w3.org/2005/Atom",

root = ET.fromstring(response.content)         ns = {             "atom": "http://www.w3.org/2005/Atom",

ns = {             "atom": "http://www.w3.org/2005/Atom",             "arxiv": "http://arxiv.org/schemas/atom",

ns = {             "atom": "http://www.w3.org/2005/Atom",             "arxiv": "http://arxiv.org/schemas/atom",

"atom": "http://www.w3.org/2005/Atom",

"atom": "http://www.w3.org/2005/Atom",

"arxiv": "http://arxiv.org/schemas/atom",

"arxiv": "http://arxiv.org/schemas/atom",

"abstract": abstract,                 "citations": None,                 "pdf_url": f"http://arxiv.org/pdf/{arxiv_id}.pdf",

"abstract": abstract,                 "citations": None,                 "pdf_url": f"http://arxiv.org/pdf/{arxiv_id}.pdf",

"citations": None,                 "pdf_url": f"http://arxiv.org/pdf/{arxiv_id}.pdf",                 "url": f"http://arxiv.org/abs/{arxiv_id}",

"citations": None,                 "pdf_url": f"http://arxiv.org/pdf/{arxiv_id}.pdf",                 "url": f"http://arxiv.org/abs/{arxiv_id}",

"pdf_url": f"http://arxiv.org/pdf/{arxiv_id}.pdf",

"pdf_url": f"http://arxiv.org/pdf/{arxiv_id}.pdf",

"url": f"http://arxiv.org/abs/{arxiv_id}",

"url": f"http://arxiv.org/abs/{arxiv_id}",

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#!/usr/bin/env bash

#!/usr/bin/env bash

ARCH="$(uname -m)" if [ "$ARCH" = "arm64" ]; then   URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh"

if [ "$ARCH" = "arm64" ]; then   URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh" else

URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh"

else   URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh" fi

URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh"

# 2) 下载并静默安装 INSTALLER="$HOME/Downloads/miniconda.sh" curl -fsSL "$URL" -o "$INSTALLER"

INSTALLER="$HOME/Downloads/miniconda.sh" curl -fsSL "$URL" -o "$INSTALLER" bash "$INSTALLER" -b -p "$HOME/miniconda3"

curl -fsSL "$URL" -o "$INSTALLER"

# 1) 下载 $installer = Join-Path $env:TEMP "Miniconda3-latest-Windows-x86_64.exe" Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer

Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile $installer

pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

Read, Write, Edit, Bash, WebSearch, WebFetch

year = {2024},   doi = {10.1038/s41597-023-02847-z},   url = {https://doi.org/10.1038/s41597-023-02847-z}

doi = {10.1038/s41597-023-02847-z},   url = {https://doi.org/10.1038/s41597-023-02847-z} }

url = {https://doi.org/10.1038/s41597-023-02847-z}

"doi": "10.48550/arXiv.1706.03762",     "citations": 100000,     "url": "https://doi.org/10.48550/arXiv.1706.03762",

"citations": 100000,     "url": "https://doi.org/10.48550/arXiv.1706.03762",     "_source": "crossref"

"url": "https://doi.org/10.48550/arXiv.1706.03762",

> > **搜索步骤**： > 1. 访问 https://www.cnki.net/

> **搜索步骤**： > 1. 访问 https://www.cnki.net/ > 2. 选择"高级搜索"

> 1. 访问 https://www.cnki.net/

# 验证 DOI 是否存在 curl -s "https://api.crossref.org/works/10.1000/doi123"

curl -s "https://api.crossref.org/works/10.1000/doi123"

Read, Bash, Grep

### 法律数据库 - 北大法宝: https://www.pkulaw.com/

- 北大法宝: https://www.pkulaw.com/

- 威科先行: https://law.wkinfo.com.cn/

- 中国裁判文书网: https://wenshu.court.gov.cn/

### 报告规范网站 - EQUATOR Network: https://www.equator-network.org/

- EQUATOR Network: https://www.equator-network.org/

- CONSORT: http://www.consort-statement.org/

- STROBE: https://www.strobe-statement.org/

### 临床试验注册 - 中国临床试验注册中心: http://www.chictr.org.cn/

- 中国临床试验注册中心: http://www.chictr.org.cn/

- ClinicalTrials.gov: https://clinicaltrials.gov/

Executable file