[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FRSZR3DX1TH98M0NZ8X0E":3,"skill-same:01M71FRSZR3DX1TH98M0NZ8X0E":117},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":24,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M71FRSZR3DX1TH98M0NZ8X0E","chinese-reference-formatter-skill",null,"Use when a user needs通用中文参考文献、GB\u002FT 7714-style bibliography entries, Chinese academic reference formatting, or BibTeX completion from Chinese or English literature titles, including 根据文献名补全参考文献、生成中文论文参考文献格式、format Chinese academic references.","franklee16\u002Facademic-research-skills","franklee16","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F235809094?v=4","01M71ANES0C8SMYKF21NAE7YV0","Weikai Li","01M71ANESNNVKD3FDKBG01ZK5Y",234,"MIT","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002FSKILL.md",[19],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"chinese reference formatter skill","formatter","reference","chinese","verification","references","literature","english","titles","standard","when","access","use","writing","生成","internet","only","python","entries","for","2026-11-10 10:12:30",false,"---\nname: chinese-reference-formatter-skill\ndescription: Use when a user needs通用中文参考文献、GB\u002FT 7714-style bibliography entries, Chinese academic reference formatting, or BibTeX completion from Chinese or English literature titles, including 根据文献名补全参考文献、生成中文论文参考文献格式、format Chinese academic references.\nlicense: MIT\ncompatibility: Requires internet access for public metadata verification. Bundled formatter uses Python 3 standard library only.\nmetadata:\n  author: Zechang-Xiong\n  version: \"1.0.0\"\n  repository: https:\u002F\u002Fgithub.com\u002FZechang-Xiong\u002Fchinese-reference-formatter-skill\n  tags: chinese-references, bibliography, bibtex, gb-t-7714, academic-writing\n---\n\n# Chinese Reference Formatter\n\n## Overview\n\nConvert one or more Chinese or English reference titles into通用中文论文参考文献条目 and BibTeX. Always verify bibliographic metadata from public sources before formatting; do not invent missing references.\n\n## Workflow\n\n1. Read `references\u002Fchinese-reference-rules.md` before formatting.\n2. For each input title, search public metadata sources and compare title, authors, year, venue, DOI\u002FISBN\u002FURL.\n3. Prefer DOI, publisher, university repository, official journal, official conference, official standards, or patent pages over aggregators.\n4. If no DOI or official page exists, require a strong title match plus matching author\u002Fyear\u002Fvenue from at least one credible source.\n5. If sources conflict and no source is clearly authoritative, return an ambiguity note instead of choosing.\n6. If no clear match exists, output `未找到与“\u003Ctitle>”明确对应的公开文献。`\n7. Normalize confirmed metadata to JSON and run `scripts\u002Fformat_reference.py` to produce the reference entry plus BibTeX.\n\n## Search Sources\n\nUse sources appropriate to the document type:\n\n- DOI and publisher metadata: Crossref, DataCite, official publisher pages.\n- Broad scholarly metadata: OpenAlex, Semantic Scholar.\n- Computer science papers: DBLP, arXiv, conference\u002Fopen-review pages.\n- Biomedical papers: PubMed\u002FNCBI and official journal pages.\n- Chinese references: DOI\u002Fpublisher pages, university repositories, official journal pages; use CNKI\u002FWanfang metadata when reachable from web search.\n- Standards, patents, books, theses: official standards bodies, patent offices, publishers, library catalogs, university repositories.\n\n## Formatting\n\nThe formatter accepts a JSON object, a JSON list, or `{ \"items\": [...] }` through stdin or `--input`.\n\n```bash\npython scripts\u002Fformat_reference.py --start 1 \u003C metadata.json\n```\n\nCommon normalized fields:\n\n```json\n{\n  \"type\": \"article\",\n  \"title\": \"Paper title\",\n  \"authors\": [\"Family, Given\", \"中文作者\"],\n  \"journal\": \"Journal name\",\n  \"booktitle\": \"Proceedings name\",\n  \"year\": 2026,\n  \"volume\": \"12\",\n  \"issue\": \"3\",\n  \"pages\": \"1-10\",\n  \"doi\": \"10.xxxx\u002Fexample\",\n  \"url\": \"https:\u002F\u002Fexample.org\",\n  \"access_date\": \"2026-05-07\",\n  \"sources\": [\"https:\u002F\u002Fsource.example\"]\n}\n```\n\nSupported `type` values include `article`, `inproceedings`, `book`, `chapter`, `thesis`, `report`, `standard`, `patent`, `newspaper`, and `online`.\n\nDefault output for each resolved item:\n\n````text\n标准参考文献：[1] ...\nBibTeX：\n```bibtex\n...\n```\n核验来源：...\n````\n\nPreserve the user's input order. Start numbering at `[1]` unless the user gives a different starting number. Do not append to a project `.bib` file unless the user explicitly asks.\n\n## Conflict Rules\n\n- DOI or official source metadata wins over aggregator metadata.\n- Publisher version wins over preprint metadata when formatting the published version.\n- Preprint metadata is valid only when the user asks for the preprint or no published version exists.\n- If author order, year, venue, or page range conflicts, state the conflict and cite the competing sources.\n- Use the actual current date for online access dates unless the source provides a citation access date or the user specifies one.\n\n## Common Mistakes\n\n- Do not format from title guesses alone.\n- Do not silently translate titles or author names.\n- Do not list more than three authors before `等` or `et al`.\n- Do not force a school-specific thesis requirement unless the user explicitly provides that institution's rules.\n- Do not count online resources or standards as ordinary journal\u002Fconference papers unless the user's style guide explicitly says to.\n","# Chinese Reference Formatter\n\n## Overview\n\nConvert one or more Chinese or English reference titles into通用中文论文参考文献条目 and BibTeX. Always verify bibliographic metadata from public sources before formatting; do not invent missing references.\n\n## Workflow\n\n1. Read `references\u002Fchinese-reference-rules.md` before formatting.\n2. For each input title, search public metadata sources and compare title, authors, year, venue, DOI\u002FISBN\u002FURL.\n3. Prefer DOI, publisher, university repository, official journal, official conference, official standards, or patent pages over aggregators.\n4. If no DOI or official page exists, require a strong title match plus matching author\u002Fyear\u002Fvenue from at least one credible source.\n5. If sources conflict and no source is clearly authoritative, return an ambiguity note instead of choosing.\n6. If no clear match exists, output `未找到与“\u003Ctitle>”明确对应的公开文献。`\n7. Normalize confirmed metadata to JSON and run `scripts\u002Fformat_reference.py` to produce the reference entry plus BibTeX.\n\n## Search Sources\n\nUse sources appropriate to the document type:\n\n- DOI and publisher metadata: Crossref, DataCite, official publisher pages.\n- Broad scholarly metadata: OpenAlex, Semantic Scholar.\n- Computer science papers: DBLP, arXiv, conference\u002Fopen-review pages.\n- Biomedical papers: PubMed\u002FNCBI and official journal pages.\n- Chinese references: DOI\u002Fpublisher pages, university repositories, official journal pages; use CNKI\u002FWanfang metadata when reachable from web search.\n- Standards, patents, books, theses: official standards bodies, patent offices, publishers, library catalogs, university repositories.\n\n## Formatting\n\nThe formatter accepts a JSON object, a JSON list, or `{ \"items\": [...] }` through stdin or `--input`.\n\n```bash\npython scripts\u002Fformat_reference.py --start 1 \u003C metadata.json\n```\n\nCommon normalized fields:\n\n```json\n{\n  \"type\": \"article\",\n  \"title\": \"Paper title\",\n  \"authors\": [\"Family, Given\", \"中文作者\"],\n  \"journal\": \"Journal name\",\n  \"booktitle\": \"Proceedings name\",\n  \"year\": 2026,\n  \"volume\": \"12\",\n  \"issue\": \"3\",\n  \"pages\": \"1-10\",\n  \"doi\": \"10.xxxx\u002Fexample\",\n  \"url\": \"https:\u002F\u002Fexample.org\",\n  \"access_date\": \"2026-05-07\",\n  \"sources\": [\"https:\u002F\u002Fsource.example\"]\n}\n```\n\nSupported `type` values include `article`, `inproceedings`, `book`, `chapter`, `thesis`, `report`, `standard`, `patent`, `newspaper`, and `online`.\n\nDefault output for each resolved item:\n\n````text\n标准参考文献：[1] ...\nBibTeX：\n```bibtex\n...\n```\n核验来源：...\n````\n\nPreserve the user's input order. Start numbering at `[1]` unless the user gives a different starting number. Do not append to a project `.bib` file unless the user explicitly asks.\n\n## Conflict Rules\n\n- DOI or official source metadata wins over aggregator metadata.\n- Publisher version wins over preprint metadata when formatting the published version.\n- Preprint metadata is valid only when the user asks for the preprint or no published version exists.\n- If author order, year, venue, or page range conflicts, state the conflict and cite the competing sources.\n- Use the actual current date for online access dates unless the source provides a citation access date or the user specifies one.\n\n## Common Mistakes\n\n- Do not format from title guesses alone.\n- Do not silently translate titles or author names.\n- Do not list more than three authors before `等` or `et al`.\n- Do not force a school-specific thesis requirement unless the user explicitly provides that institution's rules.\n- Do not count online resources or standards as ordinary journal\u002Fconference papers unless the user's style guide explicitly says to.\n",{"name":5,"license":15,"metadata":50,"description":7,"compatibility":55},{"tags":51,"author":52,"version":53,"repository":54},"chinese-references, bibliography, bibtex, gb-t-7714, academic-writing","Zechang-Xiong","1.0.0","https:\u002F\u002Fgithub.com\u002FZechang-Xiong\u002Fchinese-reference-formatter-skill","Requires internet access for public metadata verification. Bundled formatter uses Python 3 standard library only.","master","9a4b2db21fc4b217136ae4a0e6faad42d179ca03","reference-citation\u002Fchinese-reference-formatter-skill-main",36,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills","https:\u002F\u002Fgithub.com\u002Ffranklee16","https:\u002F\u002Fsites.google.com\u002Fview\u002Ffrankweikaili\u002Fhome","Associate Professor of Finance at City University of Hong Kong - empirical asset pricing, behavioral finance, ESG. I build AI tools for research and teaching","2026-09-18 20:12:00",{"source":8,"skillName":5,"commands":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add franklee16\u002Facademic-research-skills --skill chinese-reference-formatter-skill",{"tool":71,"command":72},"bunx","bunx skills add franklee16\u002Facademic-research-skills --skill chinese-reference-formatter-skill",{"tool":74,"command":75},"pnpm","pnpm dlx skills add franklee16\u002Facademic-research-skills --skill chinese-reference-formatter-skill","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002FSKILL.md",true,[79,85,91,95,99,103,109,113],{"path":80,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},".gitignore","OTHER","其他",38,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002F.gitignore",{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"agents\u002Fopenai.yaml","REFERENCE","参考文档",252,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002Fagents\u002Fopenai.yaml",{"path":92,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":94,"sourceHtmlUrl":16},"LICENSE","许可证",1070,{"path":96,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":97,"sourceHtmlUrl":98},"README.md",9763,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002FREADME.md",{"path":100,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":101,"sourceHtmlUrl":102},"references\u002Fchinese-reference-rules.md",4010,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002Freferences\u002Fchinese-reference-rules.md",{"path":104,"resourceType":105,"resourceTypeDesc":106,"sizeBytes":107,"sourceHtmlUrl":108},"scripts\u002Fformat_reference.py","SCRIPT","脚本",15402,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002Fscripts\u002Fformat_reference.py",{"path":110,"resourceType":105,"resourceTypeDesc":106,"sizeBytes":111,"sourceHtmlUrl":112},"scripts\u002Ftest_format_reference.py",3547,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002Fscripts\u002Ftest_format_reference.py",{"path":114,"resourceType":105,"resourceTypeDesc":106,"sizeBytes":115,"sourceHtmlUrl":116},"scripts\u002Ftest_skill_content.py",1242,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freference-citation\u002Fchinese-reference-formatter-skill-main\u002Fscripts\u002Ftest_skill_content.py",[118,153,182,211,236,257],{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":122,"sourceHtmlUrl":123,"categories":124,"keywords":133,"publishedAt":45},"01M71G52NMZZKJ7BRCJDNVXECV","thu-digitizer","Extract and validate numeric data from chart images, PDF figures, and official source-data files locally and reproducibly, with calibrated axes, compact-scatter recovery plus residual audits, grouped\u002Fstacked bars, visible-label pie\u002Fdonut validation, original-pixel aligned lattice composites such as UpSet plots, PDF vector inspection, line tracing, histograms, boxplots, error bars, CSV\u002FJSON evidence, source-data cross-validation, and regression evaluation. Use when a user asks to recover or recreate chart data, extract scatter points, bars, printed pie\u002Fdonut labels, or aligned memberships, check a PDF chart, assess digitization accuracy, validate against source data, or improve a chart-digitization workflow from corrected examples.","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fthu-digitizer-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fthu-digitizer-main\u002FSKILL.md",[125,128],{"categoryNo":126,"categoryName":127,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":129,"categoryName":130,"taxonomyType":131,"taxonomyTypeDesc":132},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,35],"thu digitizer","cross-validation","line","Evaluation","workflow","data","inspection","regression","official","labels","pixel","improve","files","PDF","error","images","vector","chart","compact",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":163,"publishedAt":45},"01M71G4XJWMJST9K8X244GXH71","scientific-visualization","Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib\u002Fseaborn\u002Fplotly with publication styles. For quick exploration use seaborn or plotly directly.","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fscientific-visualization\u002FSKILL.md",[159,162],{"categoryNo":160,"categoryName":161,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},[164,165,166,167,168,169,170,35,171,172,173,174,175,176,148,177,178,179,180,181],"scientific visualization","scientific","visualization","Meta","plotly","safe","journal submission","journal","meta-skill","exploration","quick","nature","ready","panel","figures","Publication","formatting","annotations",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":186,"sourceHtmlUrl":187,"categories":188,"keywords":193,"publishedAt":45},"01M71G3P8C430F3J0XX152ZJ4F","theoretical-economics-claude-skill","Human-in-the-loop theoretical economics research pipeline: from economic intuition to manuscript skeleton in 10 structured stages with quality gates.","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Ftheory-skills\u002FpAI-Econ-claude-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Ftheory-skills\u002FpAI-Econ-claude-main\u002FSKILL.md",[189,192],{"categoryNo":190,"categoryName":191,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},[194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210],"theoretical economics claude skill","economics","claude skill","human","quality","research","quality gates","with","gates","true","human-in-the-loop","manuscript","research pipeline","structured","loop","skeleton","pipeline",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":215,"sourceHtmlUrl":216,"categories":217,"keywords":228,"publishedAt":45},"01M71FZF5ZB0384VC60EKQ885N","interview-guide-design","把一个研究题目、研究思路或研究问题，落成一份能用于学术研究、案例研究、学位论文、课题调研的质性访谈提纲时，使用此 skill。触发信号很宽：用户说\"做\u002F设计访谈提纲\"\"访谈大纲怎么设计才规范\"\"结构性访谈提纲\"\"把研究问题\u002F题目变成访谈问题\"\"帮我弄份访谈提纲去问问他们\"\"怎么访谈才能挖到深层的东西\"\"interview guide \u002F interview protocol \u002F key informant \u002F elite interview\"，无论措辞多口语、有没有提方法论，都应触发。典型情形：要去访谈领导 \u002F 干部 \u002F 管理者 \u002F 专家 \u002F 科室主任 \u002F 一线员工或老师 \u002F 关键知情人，了解某个现象、做法或机制；半结构化 \u002F 结构化 \u002F 关键知情人 \u002F 精英访谈皆可；中英双语；社科 \u002F 管理 \u002F 教育 \u002F 公共政策 \u002F 医疗等领域；也常与案例研究、或与一份配套问卷的混合方法调研一起出现。它把研究问题按 Castillo-Montoya 的 IPR 框架与 Yin\u002FStake 的案例研究规范，拆成\"主问题—追问—探测\"，保障与研究问题对齐、可信度（trustworthiness）与三角验证就绪，标注方法论依据与权威出处，产出研究者版 + 现场详版\u002F简版。不要用于：量化问卷 \u002F 量表设计（走 questionnaire-design）、求职面试、以传播或叙事为目的的人物访谈（媒体\u002F播客\u002F记者深度报道\u002F纪录片\u002F口述史，非以回答研究问题为目的）、访谈录音转写、焦点小组\u002F座谈会提纲（群体互动动态与主持伦理不同，本 skill 不覆盖）、以及访谈完成后的编码与主题分析。","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Frunning-surveys-experiments\u002Fmixed-methods-instrument-design-main\u002Freferences\u002Finterview-guide-design\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Frunning-surveys-experiments\u002Fmixed-methods-instrument-design-main\u002Freferences\u002Finterview-guide-design\u002FSKILL.md",[218,221,222,225],{"categoryNo":219,"categoryName":220,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":190,"categoryName":191,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":223,"categoryName":224,"taxonomyType":131,"taxonomyTypeDesc":132},"01JBSEEDCAT000000000000032","设计师",{"categoryNo":226,"categoryName":227,"taxonomyType":131,"taxonomyTypeDesc":132},"01JBSEEDCAT000000000000038","人力资源",[229,230,231,232,233,234,235],"interview guide 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