[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FPD4FF43D2FJDGW851TJH":3,"skill-same:01M71FPD4FF43D2FJDGW851TJH":248},{"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":35,"publishedAt":51,"linkOnly":52,"markdownContent":53,"markdownBody":54,"frontMatter":55,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":6,"ownerHtmlUrl":66,"ownerBlogUrl":67,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M71FPD4FF43D2FJDGW851TJH","research-writing",null,"科研论文写作助手，提供 30 个 Prompt 模板覆盖论文写作全流程。\n当用户提到：论文写作、润色、翻译、文献综述、摘要、引言、方法章节、回复审稿人、\n基金申请、研究计划、学术演讲 PPT、LaTeX 编辑、学术图表、实验结果分析、模拟审稿、\n去 AI 味、文献对比、找研究空白、论文大纲时使用。\n不要用于：非学术写作、创意写作、博客、商业文案、求职信、小说等场景。","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\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FSKILL.md",[19,24,27,30],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":28,"categoryName":29,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"research writing","research","writing","创意","文案","翻译","opencode","pptx","演讲","prompt","博客","claude-code","code","图表","LaTeX","2026-11-10 10:12:30",false,"---\nname: research-writing\ndescription: |\n  科研论文写作助手，提供 30 个 Prompt 模板覆盖论文写作全流程。\n  当用户提到：论文写作、润色、翻译、文献综述、摘要、引言、方法章节、回复审稿人、\n  基金申请、研究计划、学术演讲 PPT、LaTeX 编辑、学术图表、实验结果分析、模拟审稿、\n  去 AI 味、文献对比、找研究空白、论文大纲时使用。\n  不要用于：非学术写作、创意写作、博客、商业文案、求职信、小说等场景。\nlicense: MIT\ncompatibility: opencode, claude-code\nmetadata:\n  author: alfonso0512\n  version: \"3.0.0\"\n---\n\n# Research Writing Skill - 科研论文写作助手\n\n> **版本**: 3.0 | **更新时间**: 2026-07-15 | **Prompt 总数**: 30\n\n## 技能概述\n\n30 个论文写作场景的 Prompt 模板，覆盖**文献调研→大纲撰写→初稿写作→润色修改→图表制作→投稿回复→基金申请**全流程。每个 Prompt 独立存储在 `references\u002Fprompts\u002F` 目录下，按需加载。\n\n**触发词**: 论文写作、润色、翻译、文献综述、去 AI 味、回复审稿人、基金申请、学术图表、模拟审稿 等。\n\n## 🎯 快速索引\n\n| 阶段 | Prompt | 文件 | 用途 |\n|------|--------|------|------|\n| 🔧 翻译润色 | #1 | `01-zh2en.md` | 中译英 |\n| 🔧 翻译润色 | #2 | `02-en2zh.md` | 英译中 |\n| 🔧 润色优化 | #3 | `03-zh-polish.md` | 中文润色 |\n| 🔧 润色优化 | #4 | `04-en-shorten.md` | 英文缩写 |\n| 🔧 润色优化 | #5 | `05-en-expand.md` | 英文扩写（逻辑强化） |\n| 🔧 润色优化 | #6 | `06-en-polish.md` | 英文润色（TOP 期刊标准） |\n| 🔧 去 AI 味 | #7 | `07-zh-deai.md` | 中文去 AI 味 |\n| 🔧 去 AI 味 | #8 | `08-en-deai.md` | 英文去 AI 味 |\n| 🔧 检查 | #9 | `09-logic-check.md` | 逻辑检查（挑刺王） |\n| 🔧 检查 | #10 | `10-abbrev-check.md` | 缩写检查 |\n| 📊 图表制作 | #11 | `11-architecture-diagram.md` | 绘制架构图 |\n| 📊 图表制作 | #12 | `12-chart-recommend.md` | 实验图推荐 |\n| 📊 图表制作 | #13 | `13-figure-caption.md` | 图片标题说明 |\n| 📊 图表制作 | #14 | `14-table-caption.md` | 表格标题说明 |\n| 📈 结果分析 | #15 | `15-experiment-analysis.md` | 实验结果写作 |\n| 🔍 审稿 | #16 | `16-simulate-reviewer.md` | 模拟审稿人 |\n| 🛠 工具 | #17 | `17-ai-tool-select.md` | AI 写作工具选择 |\n| 📚 文献调研 | #18 | `18-lit-summary.md` | 文献总结与笔记 |\n| 📚 文献调研 | #19 | `19-lit-compare.md` | 文献对比分析 |\n| 📚 文献调研 | #20 | `20-research-gap.md` | 找研究空白 |\n| 📝 大纲撰写 | #21 | `21-outline-gen.md` | 论文大纲生成 |\n| 📝 大纲撰写 | #22 | `22-section-expand.md` | 章节内容扩展 |\n| ✍️ 初稿写作 | #23 | `23-abstract.md` | 摘要写作 |\n| ✍️ 初稿写作 | #24 | `24-introduction.md` | 引言写作 |\n| ✍️ 初稿写作 | #25 | `25-method.md` | 方法章节写作 |\n| 📬 投稿回复 | #26 | `26-rebuttal.md` | 回复审稿人 |\n| 📬 投稿回复 | #27 | `27-cover-letter.md` | Cover Letter |\n| 💰 基金申请 | #28 | `28-grant-proposal.md` | 基金申请书 |\n| 💰 基金申请 | #29 | `29-research-proposal.md` | 研究计划 |\n| 💰 基金申请 | #30 | `30-academic-talk.md` | 学术演讲 PPT |\n\n---\n\n## 决策树：我该用哪个 Prompt？\n\n### 场景 1：写新论文\n```\n文献调研 → 大纲 → 写章节 → 润色 → 图表 → 审稿自查\n  #18-20    #21    #22-25    #3-6   #11-15   #16\n```\n\n### 场景 2：修改已有论文\n```\n去 AI 味 → 润色 → 逻辑检查 → 模拟审稿 → 缩写检查\n  #7\u002F#8     #3\u002F#6    #9        #16        #10\n```\n\n### 场景 3：回复审稿人\n```\n审稿分析 → Rebuttal → Cover Letter\n   #16       #26         #27\n```\n\n### 场景 4：申请基金\n```\n文献调研 → 基金申请书 → 研究计划 → 演讲 PPT\n  #18-20     #28           #29         #30\n```\n\n### 场景 5：快速翻译润色\n```\n中译英 → 去 AI 味 → 缩写检查\n  #1       #7\u002F#8      #10\n```\n\n---\n\n## 使用方式\n\n### 自动触发（推荐）\n当你使用支持 Skill 的 AI 工具（OpenCode \u002F Claude Code）时，提到论文写作相关关键词会自动加载本 Skill。AI 会根据你的意图自动选择最合适的 Prompt 模板。\n\n**安装路径**: `~\u002F.config\u002Fopencode\u002Fskills\u002Fresearch-writing\u002F`\n\n### 手动使用\n1. 浏览 `references\u002Fprompts\u002F` 目录，找到需要的 Prompt 文件\n2. 复制文件内容到聊天窗口\n3. 替换模板中的 `{{变量}}` 为实际内容\n\n---\n\n## 工具脚本\n\n| 脚本 | 用途 |\n|------|------|\n| `scripts\u002Fescape_latex.py` | LaTeX 特殊字符转义（% _ & 等） |\n| `scripts\u002Ftitle_case.py` | Title Case \u002F Sentence case 转换 |\n\n---\n\n## 最佳实践\n\n1. **组合使用**: Prompt 可以串联——先用 #21 生成大纲，再用 #22-25 扩展各章节\n2. **迭代优化**: 对 AI 输出用 #3-10 进行多轮润色\n3. **保持批判**: 用 #16 模拟审稿，提前发现论文问题\n4. **数据真实**: 所有实验数据和结论必须基于真实研究，AI 仅辅助表达\n","# Research Writing Skill - 科研论文写作助手\n\n> **版本**: 3.0 | **更新时间**: 2026-07-15 | **Prompt 总数**: 30\n\n## 技能概述\n\n30 个论文写作场景的 Prompt 模板，覆盖**文献调研→大纲撰写→初稿写作→润色修改→图表制作→投稿回复→基金申请**全流程。每个 Prompt 独立存储在 `references\u002Fprompts\u002F` 目录下，按需加载。\n\n**触发词**: 论文写作、润色、翻译、文献综述、去 AI 味、回复审稿人、基金申请、学术图表、模拟审稿 等。\n\n## 🎯 快速索引\n\n| 阶段 | Prompt | 文件 | 用途 |\n|------|--------|------|------|\n| 🔧 翻译润色 | #1 | `01-zh2en.md` | 中译英 |\n| 🔧 翻译润色 | #2 | `02-en2zh.md` | 英译中 |\n| 🔧 润色优化 | #3 | `03-zh-polish.md` | 中文润色 |\n| 🔧 润色优化 | #4 | `04-en-shorten.md` | 英文缩写 |\n| 🔧 润色优化 | #5 | `05-en-expand.md` | 英文扩写（逻辑强化） |\n| 🔧 润色优化 | #6 | `06-en-polish.md` | 英文润色（TOP 期刊标准） |\n| 🔧 去 AI 味 | #7 | `07-zh-deai.md` | 中文去 AI 味 |\n| 🔧 去 AI 味 | #8 | `08-en-deai.md` | 英文去 AI 味 |\n| 🔧 检查 | #9 | `09-logic-check.md` | 逻辑检查（挑刺王） |\n| 🔧 检查 | #10 | `10-abbrev-check.md` | 缩写检查 |\n| 📊 图表制作 | #11 | `11-architecture-diagram.md` | 绘制架构图 |\n| 📊 图表制作 | #12 | `12-chart-recommend.md` | 实验图推荐 |\n| 📊 图表制作 | #13 | `13-figure-caption.md` | 图片标题说明 |\n| 📊 图表制作 | #14 | `14-table-caption.md` | 表格标题说明 |\n| 📈 结果分析 | #15 | `15-experiment-analysis.md` | 实验结果写作 |\n| 🔍 审稿 | #16 | `16-simulate-reviewer.md` | 模拟审稿人 |\n| 🛠 工具 | #17 | `17-ai-tool-select.md` | AI 写作工具选择 |\n| 📚 文献调研 | #18 | `18-lit-summary.md` | 文献总结与笔记 |\n| 📚 文献调研 | #19 | `19-lit-compare.md` | 文献对比分析 |\n| 📚 文献调研 | #20 | `20-research-gap.md` | 找研究空白 |\n| 📝 大纲撰写 | #21 | `21-outline-gen.md` | 论文大纲生成 |\n| 📝 大纲撰写 | #22 | `22-section-expand.md` | 章节内容扩展 |\n| ✍️ 初稿写作 | #23 | `23-abstract.md` | 摘要写作 |\n| ✍️ 初稿写作 | #24 | `24-introduction.md` | 引言写作 |\n| ✍️ 初稿写作 | #25 | `25-method.md` | 方法章节写作 |\n| 📬 投稿回复 | #26 | `26-rebuttal.md` | 回复审稿人 |\n| 📬 投稿回复 | #27 | `27-cover-letter.md` | Cover Letter |\n| 💰 基金申请 | #28 | `28-grant-proposal.md` | 基金申请书 |\n| 💰 基金申请 | #29 | `29-research-proposal.md` | 研究计划 |\n| 💰 基金申请 | #30 | `30-academic-talk.md` | 学术演讲 PPT |\n\n---\n\n## 决策树：我该用哪个 Prompt？\n\n### 场景 1：写新论文\n```\n文献调研 → 大纲 → 写章节 → 润色 → 图表 → 审稿自查\n  #18-20    #21    #22-25    #3-6   #11-15   #16\n```\n\n### 场景 2：修改已有论文\n```\n去 AI 味 → 润色 → 逻辑检查 → 模拟审稿 → 缩写检查\n  #7\u002F#8     #3\u002F#6    #9        #16        #10\n```\n\n### 场景 3：回复审稿人\n```\n审稿分析 → Rebuttal → Cover Letter\n   #16       #26         #27\n```\n\n### 场景 4：申请基金\n```\n文献调研 → 基金申请书 → 研究计划 → 演讲 PPT\n  #18-20     #28           #29         #30\n```\n\n### 场景 5：快速翻译润色\n```\n中译英 → 去 AI 味 → 缩写检查\n  #1       #7\u002F#8      #10\n```\n\n---\n\n## 使用方式\n\n### 自动触发（推荐）\n当你使用支持 Skill 的 AI 工具（OpenCode \u002F Claude Code）时，提到论文写作相关关键词会自动加载本 Skill。AI 会根据你的意图自动选择最合适的 Prompt 模板。\n\n**安装路径**: `~\u002F.config\u002Fopencode\u002Fskills\u002Fresearch-writing\u002F`\n\n### 手动使用\n1. 浏览 `references\u002Fprompts\u002F` 目录，找到需要的 Prompt 文件\n2. 复制文件内容到聊天窗口\n3. 替换模板中的 `{{变量}}` 为实际内容\n\n---\n\n## 工具脚本\n\n| 脚本 | 用途 |\n|------|------|\n| `scripts\u002Fescape_latex.py` | LaTeX 特殊字符转义（% _ & 等） |\n| `scripts\u002Ftitle_case.py` | Title Case \u002F Sentence case 转换 |\n\n---\n\n## 最佳实践\n\n1. **组合使用**: Prompt 可以串联——先用 #21 生成大纲，再用 #22-25 扩展各章节\n2. **迭代优化**: 对 AI 输出用 #3-10 进行多轮润色\n3. **保持批判**: 用 #16 模拟审稿，提前发现论文问题\n4. **数据真实**: 所有实验数据和结论必须基于真实研究，AI 仅辅助表达\n",{"name":5,"license":15,"metadata":56,"description":59,"compatibility":60},{"author":57,"version":58},"alfonso0512","3.0.0","科研论文写作助手，提供 30 个 Prompt 模板覆盖论文写作全流程。\n当用户提到：论文写作、润色、翻译、文献综述、摘要、引言、方法章节、回复审稿人、\n基金申请、研究计划、学术演讲 PPT、LaTeX 编辑、学术图表、实验结果分析、模拟审稿、\n去 AI 味、文献对比、找研究空白、论文大纲时使用。\n不要用于：非学术写作、创意写作、博客、商业文案、求职信、小说等场景。\n","opencode, claude-code","master","9a4b2db21fc4b217136ae4a0e6faad42d179ca03","paper-writing\u002Fresearch-writing-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":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add franklee16\u002Facademic-research-skills --skill research-writing",{"tool":76,"command":77},"bunx","bunx skills add franklee16\u002Facademic-research-skills --skill research-writing",{"tool":79,"command":80},"pnpm","pnpm dlx skills add franklee16\u002Facademic-research-skills --skill research-writing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FSKILL.md",true,[84,90,96,102,106,110,114,118,122,126,130,134,138,142,146,150,154,158,162,166,170,174,178,182,186,190,194,198,202,206,210,214,218,222,226,230,234,238,244],{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":89},".gitignore","OTHER","其他",114,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002F.gitignore",{"path":91,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":94,"sourceHtmlUrl":95},"assets\u002Fqrcode.jpg","ASSET","资产文件",28172,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Fassets\u002Fqrcode.jpg",{"path":97,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":100,"sourceHtmlUrl":101},"CHANGELOG.md","REFERENCE","参考文档",1610,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FCHANGELOG.md",{"path":103,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":104,"sourceHtmlUrl":105},"DEPLOY.md",4549,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FDEPLOY.md",{"path":107,"resourceType":107,"resourceTypeDesc":108,"sizeBytes":109,"sourceHtmlUrl":16},"LICENSE","许可证",1092,{"path":111,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":112,"sourceHtmlUrl":113},"QUICKSTART.md",4382,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FQUICKSTART.md",{"path":115,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":116,"sourceHtmlUrl":117},"README.md",9105,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002FREADME.md",{"path":119,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":120,"sourceHtmlUrl":121},"references\u002Fprompts\u002F01-zh2en.md",1933,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F01-zh2en.md",{"path":123,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":124,"sourceHtmlUrl":125},"references\u002Fprompts\u002F02-en2zh.md",2829,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F02-en2zh.md",{"path":127,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":128,"sourceHtmlUrl":129},"references\u002Fprompts\u002F03-zh-polish.md",1452,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F03-zh-polish.md",{"path":131,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":132,"sourceHtmlUrl":133},"references\u002Fprompts\u002F04-en-shorten.md",791,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F04-en-shorten.md",{"path":135,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":136,"sourceHtmlUrl":137},"references\u002Fprompts\u002F05-en-expand.md",1449,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F05-en-expand.md",{"path":139,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":140,"sourceHtmlUrl":141},"references\u002Fprompts\u002F06-en-polish.md",1731,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F06-en-polish.md",{"path":143,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":144,"sourceHtmlUrl":145},"references\u002Fprompts\u002F07-zh-deai.md",1450,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F07-zh-deai.md",{"path":147,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":148,"sourceHtmlUrl":149},"references\u002Fprompts\u002F08-en-deai.md",2223,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F08-en-deai.md",{"path":151,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":152,"sourceHtmlUrl":153},"references\u002Fprompts\u002F09-logic-check.md",1669,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F09-logic-check.md",{"path":155,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":156,"sourceHtmlUrl":157},"references\u002Fprompts\u002F10-abbrev-check.md",2405,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F10-abbrev-check.md",{"path":159,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":160,"sourceHtmlUrl":161},"references\u002Fprompts\u002F11-architecture-diagram.md",1507,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F11-architecture-diagram.md",{"path":163,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":164,"sourceHtmlUrl":165},"references\u002Fprompts\u002F12-chart-recommend.md",3464,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F12-chart-recommend.md",{"path":167,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":168,"sourceHtmlUrl":169},"references\u002Fprompts\u002F13-figure-caption.md",1007,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F13-figure-caption.md",{"path":171,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":172,"sourceHtmlUrl":173},"references\u002Fprompts\u002F14-table-caption.md",958,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F14-table-caption.md",{"path":175,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":176,"sourceHtmlUrl":177},"references\u002Fprompts\u002F15-experiment-analysis.md",1551,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F15-experiment-analysis.md",{"path":179,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":180,"sourceHtmlUrl":181},"references\u002Fprompts\u002F16-simulate-reviewer.md",1566,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F16-simulate-reviewer.md",{"path":183,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":184,"sourceHtmlUrl":185},"references\u002Fprompts\u002F17-ai-tool-select.md",2568,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F17-ai-tool-select.md",{"path":187,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":188,"sourceHtmlUrl":189},"references\u002Fprompts\u002F18-lit-summary.md",1755,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F18-lit-summary.md",{"path":191,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":192,"sourceHtmlUrl":193},"references\u002Fprompts\u002F19-lit-compare.md",804,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F19-lit-compare.md",{"path":195,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":196,"sourceHtmlUrl":197},"references\u002Fprompts\u002F20-research-gap.md",960,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F20-research-gap.md",{"path":199,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":200,"sourceHtmlUrl":201},"references\u002Fprompts\u002F21-outline-gen.md",900,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F21-outline-gen.md",{"path":203,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":204,"sourceHtmlUrl":205},"references\u002Fprompts\u002F22-section-expand.md",610,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F22-section-expand.md",{"path":207,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":208,"sourceHtmlUrl":209},"references\u002Fprompts\u002F23-abstract.md",1037,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F23-abstract.md",{"path":211,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":212,"sourceHtmlUrl":213},"references\u002Fprompts\u002F24-introduction.md",914,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F24-introduction.md",{"path":215,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":216,"sourceHtmlUrl":217},"references\u002Fprompts\u002F25-method.md",971,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F25-method.md",{"path":219,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":220,"sourceHtmlUrl":221},"references\u002Fprompts\u002F26-rebuttal.md",1072,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F26-rebuttal.md",{"path":223,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":224,"sourceHtmlUrl":225},"references\u002Fprompts\u002F27-cover-letter.md",813,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F27-cover-letter.md",{"path":227,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":228,"sourceHtmlUrl":229},"references\u002Fprompts\u002F28-grant-proposal.md",1086,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F28-grant-proposal.md",{"path":231,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":232,"sourceHtmlUrl":233},"references\u002Fprompts\u002F29-research-proposal.md",850,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F29-research-proposal.md",{"path":235,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":236,"sourceHtmlUrl":237},"references\u002Fprompts\u002F30-academic-talk.md",1261,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Freferences\u002Fprompts\u002F30-academic-talk.md",{"path":239,"resourceType":240,"resourceTypeDesc":241,"sizeBytes":242,"sourceHtmlUrl":243},"scripts\u002Fescape_latex.py","SCRIPT","脚本",4949,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Fscripts\u002Fescape_latex.py",{"path":245,"resourceType":240,"resourceTypeDesc":241,"sizeBytes":246,"sourceHtmlUrl":247},"scripts\u002Ftitle_case.py",6921,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fpaper-writing\u002Fresearch-writing-skill-main\u002Fscripts\u002Ftitle_case.py",[249,283,312,338,363,384],{"skillNo":250,"name":251,"nameZh":6,"description":252,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":253,"sourceHtmlUrl":254,"categories":255,"keywords":262,"publishedAt":51},"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",[256,259],{"categoryNo":257,"categoryName":258,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":260,"categoryName":261,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000033","数据分析师",[263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282],"thu digitizer","cross-validation","line","Evaluation","workflow","data","inspection","regression","official","labels","pixel","improve","files","PDF","error","images","vector","chart","compact","when",{"skillNo":284,"name":285,"nameZh":6,"description":286,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":287,"categories":288,"keywords":293,"publishedAt":51},"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",[289,292],{"categoryNo":290,"categoryName":291,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":28,"categoryName":29,"taxonomyType":22,"taxonomyTypeDesc":23},[294,295,296,297,298,299,300,282,301,302,303,304,305,306,277,307,308,309,310,311],"scientific visualization","scientific","visualization","Meta","plotly","safe","journal submission","journal","meta-skill","exploration","quick","nature","ready","panel","figures","Publication","formatting","annotations",{"skillNo":313,"name":314,"nameZh":6,"description":315,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":316,"sourceHtmlUrl":317,"categories":318,"keywords":321,"publishedAt":51},"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",[319,320],{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":28,"categoryName":29,"taxonomyType":22,"taxonomyTypeDesc":23},[322,323,324,325,326,37,327,328,329,330,331,332,333,334,335,336,337],"theoretical economics claude skill","economics","claude skill","human","quality","quality gates","with","gates","true","human-in-the-loop","manuscript","research pipeline","structured","loop","skeleton","pipeline",{"skillNo":339,"name":340,"nameZh":6,"description":341,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":342,"sourceHtmlUrl":343,"categories":344,"keywords":355,"publishedAt":51},"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",[345,348,349,352],{"categoryNo":346,"categoryName":347,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":350,"categoryName":351,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000032","设计师",{"categoryNo":353,"categoryName":354,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000038","人力资源",[356,357,358,359,360,361,362],"interview guide design","interview","interview guide","design","guide","questionnaire","protocol",{"skillNo":364,"name":365,"nameZh":6,"description":366,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":367,"sourceHtmlUrl":368,"categories":369,"keywords":374,"publishedAt":51},"01M71FZBQ29K2JPYZD1HWWTZC9","mixed-methods-instrument-design","基于同一项研究的研究目的、研究问题、理论框架与人群设计，协同产出彼此对齐的量化问卷\u002F调查表和质性访谈提纲时使用；也可在用户明确要求时把经审核的问卷创建为问卷星未发布草稿并继续管理。触发信号包括“问卷和访谈一起设计”“根据研究思路同步出调查问卷与访谈提纲”“混合方法研究工具”“不同人群分别做问卷和访谈”“推送到问卷星”“创建在线问卷”“survey + interview guide”“convergent \u002F explanatory sequential \u002F exploratory sequential mixed methods instruments”。适用于社会科学、管理、教育、公共政策、医疗及其他经验研究；允许量化与质性部分使用相同或不同样本。产出研究设计判定、中央映射矩阵、问卷与变量字典、完整访谈三版、联合展示模板和预测试方案；默认用户成品仍是一份完整 Word。不要用于只设计单一访谈提纲（走 interview-guide-design）、只设计单一问卷、把现成工具做成网页、访谈转写、正式数据分析，或在没有研究问题的情况下机械拼接两套题目。","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Frunning-surveys-experiments\u002Fmixed-methods-instrument-design-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Frunning-surveys-experiments\u002Fmixed-methods-instrument-design-main\u002FSKILL.md",[370,371,372,373],{"categoryNo":290,"categoryName":291,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":346,"categoryName":347,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":350,"categoryName":351,"taxonomyType":33,"taxonomyTypeDesc":34},[375,376,359,377,378,379,380,357,381,360,382,383,358],"methods","mixed methods instrument design","instrument","testing","数据","Word","survey","data analysis","工具",{"skillNo":385,"name":386,"nameZh":6,"description":387,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":388,"categories":389,"keywords":392,"publishedAt":51},"01M71FYX67NTZH9C05DSD325PD","scientific-critical-thinking","Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.","https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Freview-revise\u002Fscientific-critical-thinking\u002FSKILL.md",[390,391],{"categoryNo":346,"categoryName":347,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":350,"categoryName":351,"taxonomyType":33,"taxonomyTypeDesc":34},[393,295,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,38,359],"critical","scientific critical thinking","thinking","write","frameworks","for","risk","evidence","grading","edit","read","peer review","claims","review","analysis","teaching","Bash"]