| name | academic-research |
| version | 2.2.0 |
| description | Cross-disciplinary academic research skill pack / 跨学科学术研究技能包 — literature review, paper writing, LaTeX compilation, journal/conference formatting, experiment design, rebuttal workflow, thesis writing, idea evaluation, figure design, causal inference, De-AIGC, scientific databases, research integrity, benchmark papers, paper reproduction, and AI collaboration (Vibe Research). 文献综述、论文写作、LaTeX 编译、期刊/会议排版、实验设计、rebuttal 工作流、学位论文写作、 构思评估、图表设计、因果推断、降AIGC、科学数据库、研究诚信、基准论文、论文复现、AI协作。 Integrates with 28+ scientific databases via MCP, local TeXLive, 12+ venue templates. 通过 MCP 集成 28+ 科学数据库，集成本地 TeXLive，支持 12+ 顶级会议/期刊模板。
|
| triggers | ["academic","research","paper","thesis","latex","literature review","conference","journal","arxiv","biblatex","bibtex","论文","学术","文献综述","期刊","会议","开题报告","学位论文","顶会","rebuttal","idea-eval","figure-design","de-aigc","causal","databases","integrity","pre-submit","benchmark","reproduce","vibe","hallucination","fact-check","复现","基准","投前审查","研究诚信","数据库","AI协作","deep-read","data-processing","paper-reading","精读","数据处理","数据清洗","数据审计","tools","tool-registry"] |
| role | specialist |
| scope | full-workflow |
| output-format | structured |
| prerequisites | ["LaTeX distribution: TeXLive (macOS/Linux) or MiKTeX (Windows) or TeXLive / LaTeX 发行版：macOS/Linux 推荐 TeXLive，Windows 推荐 MiKTeX","Python 3.8+ (for arXiv search script / 用于 arXiv 搜索脚本)"] |
Cross-Disciplinary Academic Research Skill Pack / 跨学科学术研究技能包
Cross-disciplinary end-to-end academic research pipeline: from idea evaluation to camera-ready submission, covering all disciplines.
跨学科端到端学术研究流水线：从构思评估到终稿提交，覆盖全学科。
When to Activate / 触发条件
- User mentions writing a paper, thesis, or academic document / 用户提到写论文、学位论文或学术文档
- User asks about LaTeX formatting, compilation, or journal templates / 用户询问 LaTeX 排版、编译或期刊模板
- User requests literature review or citation management / 用户请求文献综述或引文管理
- User triggers
/academic command / 用户触发 /academic 命令
- User mentions keywords: paper, thesis, latex, bibtex, conference, journal, arxiv, databases, integrity, benchmark, reproduce, vibe, causal, 论文, 学术, 文献综述, 期刊, 开题, rebuttal, 复现, 基准, 研究诚信, 数据库, AI协作
Architecture Overview / 架构概览
┌───────────────────────────────────────────────────────┐
│ /academic Command (22 sub-cmds) │
│ /academic 命令 (22 个子命令) │
├───────────────────────────────────────────────────────┤
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Idea │ │ Lit │ │ Paper │ │ Experiment│ │
│ │ Eval │ │ Review │ │ Writing │ │ Design │ │
│ │ 构思评估 │ │ 文献综述 │ │ 论文写作 │ │ 实验设计 │ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
│ │ │ │ │ │
│ ┌────┴─────────────┴────────────┴─────────────┴────┐ │
│ │ Scientific Database Layer / 科学数据库层 │ │
│ │ 28+ databases via MCP | arXiv PubMed OpenAlex │ │
│ │ 28+ 数据库 MCP 集成 | FRED ADS SSRN ... │ │
│ └────────────────────┬─────────────────────────────┘ │
│ │ │
│ ┌────────────────────┴─────────────────────────────┐ │
│ │ Domain Methods / 领域方法层 │ │
│ │ Causal Inference | De-AIGC | Vibe Research │ │
│ │ 因果推断 | 降AIGC | AI协作 │ │
│ └────────────────────┬─────────────────────────────┘ │
│ │ │
│ ┌────────────────────┴─────────────────────────────┐ │
│ │ LaTeX Compilation Engine / 编译引擎 │ │
│ │ auto-detect TeXLive / Overleaf / Docker │ │
│ │ 自动检测 TeXLive / Overleaf / Docker │ │
│ └────────────────────┬─────────────────────────────┘ │
│ │ │
│ ┌────────────────────┴─────────────────────────────┐ │
│ │ Journal Template Layer / 期刊模板层 │ │
│ │ NeurIPS|ICML|ICLR|ACL|AAAI|IEEE|ACM|... │ │
│ │ 12+ venues across all disciplines │ │
│ └────────────────────┬─────────────────────────────┘ │
│ │ │
│ ┌────────────────────┴─────────────────────────────┐ │
│ │ Quality Gate System / 质量关卡系统 │ │
│ │ 5-dim pre-submit | 7-dim review | integrity │ │
│ │ 五维投前审查 | 七维评审 | 研究诚信 │ │
│ └───────────────────────────────────────────────────┘ │
│ │
│ ┌───────────────────────────────────────────────────┐ │
│ │ Cross-Discipline Coverage / 跨学科覆盖 │ │
│ │ CS|Medicine|Physics|Social Science|Economics|... │ │
│ │ 计算机|医学|物理|社会科学|经济|工程|人文|... │ │
│ └───────────────────────────────────────────────────┘ │
└───────────────────────────────────────────────────────┘
Workflow Sub-Commands / 子命令工作流
1. check-env — Environment Detection / 环境检测
Auto-detect LaTeX installation and available packages.
自动检测 LaTeX 安装和可用包。
bash scripts/check-environment.sh
powershell scripts/check-environment.ps1
Outputs / 输出: compilers (pdflatex/xelatex/lualatex/latexmk), bibliography tools (bibtex/biber), key packages, conference style files / 编译器、参考文献工具、核心包、会议样式文件。
Script / 脚本: scripts/check-environment.sh (macOS/Linux) / scripts/check-environment.ps1 (Windows)
Reference / 参考: references/latex-environment.md
2. lit-review — Literature Review / 文献综述
Trigger / 触发: /academic lit-review --topic "..."
Workflow / 工作流 (see workflows/literature-review.md):
- Seed paper identification via arXiv API + Semantic Scholar / 通过 arXiv API + Semantic Scholar 确定种子论文
- Iterative breadth-then-depth search (forward/backward citation traversal) / 迭代广度-深度搜索（前向/后向引文遍历）
- Abstract screening and relevance scoring (0-10) / 摘要筛选和相关性评分
- Full-text analysis of top-ranked papers / 高分论文全文分析
- Synthesis into structured review with BibTeX entries / 综合为结构化综述并生成 BibTeX
- Gap identification and research positioning / 研究空白识别与研究定位
Tools / 工具:
scripts/search_arxiv.py — arXiv search with BibTeX output / arXiv 搜索并输出 BibTeX- Semantic Scholar API (free, no key needed / 免费，无需密钥)
- DOI resolution via doi.org / 通过 doi.org 解析 DOI
Reference / 参考: workflows/literature-review.md, references/scientific-databases-guide.md
3. paper — Paper Writing / 论文写作
Trigger / 触发: /academic paper --venue <venue>
Workflow / 工作流 (see workflows/paper-writing.md):
- Select template from
templates/<venue>/ / 从模板目录选择目标会议模板
- Generate paper structure / 生成论文结构（abstract → intro → method → experiments → conclusion）
- Section-by-section writing with quality checkpoints / 逐节写作，带质量检查点
- Insert figures, tables, algorithms via TikZ/algorithm2e / 插入图表、算法
- Compile with auto-detected engine / 使用自动检测的引擎编译
- Self-review with 7-dimension reviewer simulation / 7 维度审稿人模拟自审
- Iterate until quality gate passes / 迭代直到通过质量关卡
Writing Principles / 写作原则 (see references/writing-guide.md):
- Gopen & Swan 7 principles of reader expectations / Gopen & Swan 读者期望七原则
- Perez micro-tips for clarity / Perez 清晰写作微技巧
- Lipton word choice guidelines / Lipton 用词指南
- One idea per paragraph, topic sentence first / 每段一个观点，主题句在前
Reference / 参考: workflows/paper-writing.md, references/writing-guide.md
4. experiment — Experiment Design / 实验设计
Trigger / 触发: /academic experiment
Workflow / 工作流 (see workflows/experiment-design.md):
- Claims-to-experiments mapping / 论点到实验的映射
- Baseline selection and justification / 基线选择与论证
- Evaluation protocol design (metrics, datasets, splits) / 评估协议设计
- Statistical significance testing plan / 统计显著性检验计划
- Ablation study design / 消融实验设计
- Experiment script scaffolding / 实验脚本脚手架
Reference / 参考: workflows/experiment-design.md, references/hypothesis-generation-guide.md
5. rebuttal — Rebuttal Writing / Rebuttal 写作
Trigger / 触发: /academic rebuttal
Workflow / 工作流 (see workflows/rebuttal.md):
- Parse reviewer comments into structured items / 将审稿意见解析为结构化条目
- Classify: accept/argue/clarify/experiment / 分类：接受/辩论/澄清/实验
- Draft point-by-point response / 起草逐条回复
- Plan additional experiments if needed / 如需要则规划额外实验
- Generate camera-ready diff / 生成终稿差异
Reference / 参考: workflows/rebuttal.md
6. compile — LaTeX Compilation / LaTeX 编译
Trigger / 触发: /academic compile <file.tex>
Engine Selection Logic / 引擎选择逻辑:
if document uses ctex/xeCJK → xelatex # 含中文内容
else if document uses fontspec → lualatex # 自定义字体
else → pdflatex # 标准英文论文
Compilation Pipeline / 编译流水线:
bash scripts/compile.sh -e <engine> -b -c <file.tex>
powershell scripts/compile.ps1 -TexFile <file.tex> -Engine <engine> -Bib -Clean
Auto-runs / 自动执行: multiple passes + bibliography + cross-reference resolution + auxiliary cleanup / 多遍编译 + 参考文献 + 交叉引用 + 辅助文件清理。
Script / 脚本: scripts/compile.sh (macOS/Linux) / scripts/compile.ps1 (Windows)
Reference / 参考: references/latex-environment.md
7. idea-eval — Idea Evaluation / 构思评估
Trigger / 触发: /academic idea-eval
Evaluate research ideas using a four-layer audit (fatal flaws → lifecycle matching → five-dimension scoring → paradigm shift detection).
使用四层审计评估研究构思（致命缺陷 → 生命周期匹配 → 五维打分 → 范式跃迁探测）。
Output / 输出: PROCEED / PROCEED WITH GUARDRAILS / REJECT AND PIVOT verdict with evidence.
产出：带有证据的通过/带条件通过/拒绝并转向 结论。
Reference / 参考: references/idea-evaluation.md
8. figure-design — Figure Design Advisor / 图表设计顾问
Trigger / 触发: /academic figure-design
Design guidance for three load-bearing figures: Motivated Example, Solution Overview, Experimental Results.
三张承重图设计指导：动机示例图、方案总览图、实验结果图。
Output / 输出: Per-figure design principles, anti-patterns, tool recommendations, TikZ templates.
产出：每张图的设计原则、反模式、工具推荐、TikZ 模板。
Reference / 参考: references/figure-design-guide.md
9. de-aigc — De-AIGC Review / 降 AIGC 审查
Trigger / 触发: /academic de-aigc
Five-dimension assessment and rewrite guidance to reduce AI detection rates in academic writing (Chinese and English).
五维度评估和改写指导，降低学术论文 AI 检测率（中英文）。
Output / 输出: Pattern detection report, five-dimension scores, section-specific rewrite suggestions.
产出：模式检测报告、五维度评分、分章节改写建议。
Reference / 参考: references/de-aigc-guide.md
10. causal — Causal Inference / 因果推断
Trigger / 触发: /academic causal
Causal inference method selection and analysis pipeline (DID/IV/RDD/PSM/SCM/DML). Integrates with StatsPAI (900+ functions).
因果推断方法选择和分析流水线（DID/IV/RDD/PSM/SCM/DML）。集 StatsPAI（900+ 函数）。
Output / 输出: Method recommendation, diagnostic tests checklist, robustness battery, publication-ready output.
产出：方法推荐、诊断检验清单、稳健性检验组合、发表级输出。
Reference / 参考: references/causal-inference-guide.md
11. template — Template Management / 模板管理
Trigger / 触发: /academic template <venue>
Copies the appropriate template to the working directory / 将对应模板复制到工作目录。
Available Templates / 可用模板:
| Venue 会议/期刊 | Type 类型 | Style 样式 | Page Limit 页数限制 |
|---|
| NeurIPS | Conference 顶会 | neurips.sty | 9 + appendix 附录 |
| ICML | Conference 顶会 | icml2026.sty | 8 + appendix 附录 |
| ICLR | Conference 顶会 | iclr2026_conference.sty | 9 + appendix 附录 |
| ACL/EMNLP | Conference 顶会 | acl.sty | 8 + appendix 附录 |
| AAAI | Conference 顶会 | aaai2026.sty | 8 |
| IEEE (Trans/Conf) | Journal/Conf 期刊/会议 | IEEEtran.cls | varies 不限 |
| Springer (LNCS) | Conference 会议 | llncs.cls | 12-15 |
| Elsevier | Journal 期刊 | elsarticle.cls | varies 不限 |
| ACM | Conference 顶会 | acmart.cls | 10-12 |
| APS (Phys Rev) | Journal 期刊 | revtex4-2.cls | varies 不限 |
| Chinese Thesis 中文学位论文 | Thesis 学位论文 | ctexbook | varies 不限 |
| Beamer Slides 学术幻灯片 | Presentation 演示 | beamer.cls | slides 页数 |
Reference / 参考: references/journal-templates-guide.md
12. databases — Scientific Database Search / 科学数据库检索
Trigger / 触发: /academic databases
Unified search across 28+ scientific databases via MCP servers (arXiv, PubMed, OpenAlex, Semantic Scholar, FRED, ADS, etc.). Discipline-specific search strategies for CS, Medicine, Social Science, Physics, Economics.
通过 MCP 服务器统一检索 28+ 科学数据库。按学科定制搜索策略。
Output / 产出: Search results, BibTeX entries, citation graphs, deduplicated reference lists.
Reference / 参考: references/scientific-databases-guide.md
13. integrity — Research Integrity Check / 研究诚信检查
Trigger / 触发: /academic integrity
Four-layer verification: citation integrity (5-step), fact-checking protocol, methodology audit, cross-discipline compliance. Includes hallucination detection and plagiarism prevention.
四层验证：引文诚信、事实核查、方法论审计、跨学科合规。含幻觉检测和抄袭预防。
Output / 产出: Verification report with pass/fail per layer, actionable fixes.
Reference / 参考: references/research-integrity-guide.md
14. pre-submit — Pre-Submission Review / 投前五维审查
Trigger / 触发: /academic pre-submit
Five-dimension pre-submission quality review: Contribution, Technical Soundness, Writing, Experimental Rigor, Ethics. Scoring rubric (1-5 per dimension, ≥3.5 average to pass).
五维度投前质量审查：贡献、技术可靠性、写作、实验严谨性、伦理。每维度1-5分，均分≥3.5通过。
Output / 产出: Structured review report with scores, top-3 issues, pass/conditional/reject verdict.
Reference / 参考: references/pre-submission-review.md
15. benchmark — Benchmark Paper Writing / 基准论文写作
Trigger / 触发: /academic benchmark
Six-stage benchmark paper workflow: Scope → Data Collection → Metric Design → Baseline Selection → Analysis Framework → Writing.
六阶段基准论文工作流：范围→数据收集→指标设计→基线选择→分析框架→写作。
Output / 产出: Benchmark paper draft, dataset statistics, results tables, analysis framework.
Reference / 参考: references/benchmark-paper-template.md
16. reproduce — Paper Reproduction / 论文复现
Trigger / 触发: /academic reproduce
Six-phase reproduction: Paper Parsing → Implementation → Component Testing → Debugging → Sensitivity Analysis → Documentation.
六阶段复现：论文解析→实现→组件测试→调试→敏感性分析→文档化。
Output / 产出: Reproduction report, comparison table (paper vs. yours), sensitivity analysis.
Reference / 参考: references/paper-reproduction-guide.md
17. vibe — AI Collaboration Rules / AI 协作研究
Trigger / 触发: /academic vibe
Human-AI collaboration best practices: Vibe Coding (specify→verify→test), Vibe Writing (outline→expand→rewrite→polish), Vibe Figures (design→render→review).
人机协作最佳实践：Vibe Coding、Vibe Writing、Vibe Figures。含协作光谱和反模式。
Output / 产出: Collaboration workflow, anti-pattern warnings, quality checklist.
Reference / 参考: references/vibe-research-workflow.md
18. deep-read — Deep Paper Reading / 论文精读
Trigger / 触发: /academic deep-read
Four-pass systematic single-paper analysis: Bird's Eye (5 min) → Structural Decomposition (30-60 min) → Critical Analysis (60-120 min) → Internalization (30-60 min). Includes assumption audit, claim-evidence gap analysis, and one-page summary template.
四遍系统化单篇论文分析：全景扫描→结构拆解→批判分析→内化吸收。含假设审计、论点-证据差距分析、一页纸总结模板。
Output / 产出: Structured paper notes, critical analysis report, connection map to your work, one-page summary.
Reference / 参考: references/deep-reading-guide.md
19. data — Research Data Processing / 研究数据处理
Trigger / 触发: /academic data
Seven-stage data pipeline: Acquisition → Audit → Cleaning → Feature Engineering → EDA → Splitting & Versioning → Readiness Check. Cross-discipline patterns for CS, Medicine, Social Science, Economics, Physics.
七阶段数据流水线：获取→审计→清洗→特征工程→探索分析→划分与版本管理→就绪检查。覆盖CS、医学、社科、经济、物理。
Output / 产出: Cleaned dataset with provenance, audit report, EDA visualizations, split metadata.
Reference / 参考: references/data-processing-guide.md
20. tools — Tool Registry & Recommendation / 工具注册与推荐
Trigger / 触发: /academic tools
Curated scientific tool recommendations mapped to research stages and disciplines. Decision tree for tool selection: data acquisition → processing → EDA → modeling → visualization → writing. Covers 60+ tools across CS, biology, chemistry, medicine, physics, economics, social science.
精选科研工具推荐，按研究阶段和学科映射。工具选择决策树：数据获取→处理→探索→建模→可视化→写作。覆盖 60+ 工具。
Output / 产出: Tool recommendation for your specific stage + discipline + task.
Reference / 参考: references/tool-registry.md
21. hypothesis — Hypothesis Generation & Critical Thinking / 假设生成与批判性思维
Trigger / 触发: /academic hypothesis
Structured hypothesis generation from research gaps: identify assumptions, formulate testable hypotheses (H1, H2, H3), design falsification criteria, and evaluate hypothesis strength. Applies scientific critical thinking framework to avoid common reasoning fallacies.
从研究空白出发的结构化假设生成：识别假设、形成可检验假说、设计证伪标准、评估假设强度。应用科学批判性思维框架避免常见推理谬误。
Output / 产出: Hypothesis table (H# | Statement | Test | Falsification Criterion | Strength), reasoning chain validation report.
Reference / 参考: references/hypothesis-generation-guide.md
22. stat-analysis — Statistical Analysis / 统计分析
Trigger / 触发: /academic stat-analysis
Statistical analysis method selection and execution: hypothesis testing, effect sizes, confidence intervals, multiple comparison correction, power analysis. Integrates Python (scipy/statsmodels), R, and Stata tool recommendations.
统计分析方法选择与执行：假设检验、效应量、置信区间、多重比较校正、功效分析。集成 Python/R/Stata 工具推荐。
Output / 产出: Analysis plan (test selection rationale), execution code, results table with effect sizes and CIs.
Reference / 参考: references/statistical-analysis-guide.md
23. tool-deep — Per-Package Deep Dive / 单包深度指南
Trigger / 触发: /academic tool-deep <package-name>
In-depth usage guide for a specific research package: installation, core APIs, academic workflows, best practices, common pitfalls, and integration with the academic research pipeline. Covers 140+ packages across CS/ML, Biology, Chemistry, Physics, Engineering, Social Science, and more.
单个研究包的深度使用指南：安装、核心 API、学术工作流、最佳实践、常见陷阱、跨平台集成。覆盖 140+ 跨学科包。
Output / 产出: Package-specific guide with code examples, academic workflow templates, and discipline-specific tips.
Reference / 参考: references/tools/<package-name>.md, references/tool-registry.md
24. arxiv-submit — ArXiv Submission Workflow / ArXiv 投稿工作流
Trigger / 触发: /academic arxiv-submit
Guide for preparing, building, and submitting papers to ArXiv. Covers source preparation (.bbl generation, relative paths, package flattening), category selection (cs/math/physics/stat), upload process, version management, and timing strategy.
ArXiv 投稿全流程：源码准备、分类选择、上传流程、版本管理、发布时机。
Output / 产出: Step-by-step ArXiv submission checklist.
Reference / 参考: references/arxiv-submission-guide.md
25. code-release — Open Source Code Release / 开源代码发布
Trigger / 触发: /academic code-release
Best practices for releasing reproducible research code: repository structure, README template, reproducibility checklist, dependency management, pretrained model distribution, and licensing.
研究代码开源发布最佳实践：仓库结构、可复现性检查、依赖管理、许可证选择。
Output / 产出: Complete code release package with reproducibility checklist.
Reference / 参考: references/code-release-guide.md
26. math-write — Mathematical Writing / 数学写作
Trigger / 触发: /academic math-write
Guide for writing clear, rigorous mathematical content in LaTeX: equation typesetting, notation conventions, theorem environments, proof writing, common errors.
LaTeX 数学写作指南：公式排版、符号约定、定理环境、证明写作。
Output / 产出: Typeset mathematical content with proper notation.
Reference / 参考: references/mathematical-writing-guide.md
27. ablation — Ablation Study Design / 消融实验设计
Trigger / 触发: /academic ablation
How to design, run, and present ablation studies: component ablation, hyperparameter sensitivity, statistical testing, result presentation.
消融实验设计指南：组件消融、统计检验、结果呈现。
Output / 产出: Ablation study design with LaTeX table template.
Reference / 参考: references/ablation-study-guide.md
Citation Management / 引文管理
BibTeX Workflow / BibTeX 工作流
Search 搜索 (arXiv/Semantic Scholar)
↓
Fetch metadata 获取元数据 (DOI/title → BibTeX)
↓
Validate 验证 (required fields, consistent keys / 必填字段、一致的键名)
↓
Organize 组织 (references.bib, one entry per paper / 每篇论文一条记录)
↓
Cite 引用 (\cite{} / \parencite{})
Citation Verification / 引文验证 (5-step mandatory process / 5 步强制流程)
- Existence check / 存在性检查: Does the cited paper exist? / 引用的论文是否存在？
- Claim accuracy / 准确性: Does the paper actually support the claim? / 论文是否确实支持该论点？
- Metadata correctness / 元数据正确性: Are authors, year, venue correct? / 作者、年份、会议是否正确？
- BibTeX validity / BibTeX 有效性: Does the entry compile without errors? / 条目是否能无错编译？
- Consistency / 一致性: Is the citation key used consistently? / 引用键名是否一致使用？
Quality Gate System / 质量关卡系统
Gate 1: Structure Check / 结构检查 (after outline / 完成大纲后)
- All required sections present / 所有必需章节齐全
- Logical flow between sections / 章节间逻辑连贯
- Claims map to experiments / 论点映射到实验
Gate 2: Writing Quality / 写作质量 (after first draft / 完成初稿后)
- 7-dimension reviewer simulation / 7 维度审稿人模拟：
- Novelty & contribution / 新颖性与贡献
- Technical soundness / 技术可靠性
- Clarity & presentation / 清晰度与呈现
- Experimental rigor / 实验严谨性
- Related work coverage / 相关工作覆盖度
- Reproducibility / 可复现性
- Significance & impact / 重要性与影响力
- Each dimension scored 1-5, overall ≥ 3.5 to pass / 每维度 1-5 分，均分 ≥ 3.5 通过
Gate 3: Format Compliance / 格式合规 (before submission / 提交前)
- Page count within limit / 页数在限制内
- All fonts/sizes match template requirements / 字体/字号符合模板要求
- Figures/tables properly formatted / 图表格式正确
- Bibliography style correct / 参考文献样式正确
- Anonymization complete (if blind review) / 匿名化完成（如为盲审）
- Supplementary material organized / 补充材料组织完整
LaTeX Best Practices / LaTeX 最佳实践
Package Selection by Need / 按需选包
| Need 需求 | Package 包 | Notes 说明 |
|---|
| Math 数学 | amsmath, amssymb, mathtools | Standard 标准 |
| Algorithms 算法 | algorithm2e | Preferred 首选 |
| Figures 图片 | graphicx, subcaption | Use vector formats 使用矢量格式 |
| Tables 表格 | booktabs | No vertical lines 无竖线 |
| Plots 绘图 | pgfplots, tikz | Consistent style 风格统一 |
| Code 代码 | listings or minted | minted needs --shell-escape |
| Cross-refs 交叉引用 | cleveref | Load after hyperref 在 hyperref 之后加载 |
| Typography 排版 | microtype | Always use 始终使用 |
| Chinese 中文 | ctex + xeCJK | Must use xelatex 必须用 xelatex |
| Bib style 参考文献样式 | natbib or biblatex | Per venue requirement 按会议要求 |
Integration / 集成
This skill pack integrates with / 本技能包集成了:
- Overleaf — cloud LaTeX editing via Git / 通过 Git 的云端 LaTeX 编辑
- Zotero — reference management / 参考文献管理
- Supervisor-Skills — Idea evaluation, Intro six-paragraph model, figure design, pre-submission review / 构思评估、Intro六段式、图表设计、投前审查
- Awesome-Agent-Skills — StatsPAI causal inference, De-AIGC skills, empirical analysis pipeline / StatsPAI 因果推断、降AIGC技能、实证分析流水线
Cross-Platform Support / 跨平台支持
| Platform | Compile Script | Environment Check | Package Manager |
|---|
| macOS | bash scripts/compile.sh | bash scripts/check-environment.sh | brew / tlmgr |
| Linux | bash scripts/compile.sh | bash scripts/check-environment.sh | apt / tlmgr |
| Windows | powershell scripts/compile.ps1 | powershell scripts/check-environment.ps1 | mpm / winget |
| WSL | bash scripts/compile.sh | bash scripts/check-environment.sh | apt / tlmgr |
| Docker | docker run texlive/texlive | N/A | tlmgr inside container |
Output / 输出
Paper Project Structure / 论文项目结构
<project>/
├── main.tex # Main document / 主文档
├── references.bib # Bibliography / 参考文献
├── sections/ # Paper sections / 论文章节
│ ├── abstract.tex
│ ├── introduction.tex
│ ├── related_work.tex
│ ├── method.tex
│ ├── experiments.tex
│ ├── results.tex
│ └── conclusion.tex
├── figures/ # Figures (PDF preferred / 推荐 PDF 格式)
├── code/ # Experiment code / 实验代码
│ ├── train.py # Training script / 训练脚本
│ ├── evaluate.py # Evaluation script / 评估脚本
│ ├── models/ # Model definitions / 模型定义
│ ├── data/ # Data loading & processing / 数据加载与处理
│ └── utils.py # Shared utilities / 公共工具
├── configs/ # Experiment configurations / 实验配置
│ └── default.yaml # Default hyperparameters / 默认超参数
├── data/ # Data directory (git-ignored) / 数据目录（git 忽略）
│ ├── raw/ # Raw data with provenance / 原始数据（含来源）
│ ├── processed/ # Cleaned & split data / 清洗后数据
│ └── README.md # Data source & license / 数据来源与许可
├── results/ # Experiment outputs / 实验输出
│ ├── metrics.json # Aggregated metrics / 聚合指标
│ └── checkpoints/ # Model checkpoints / 模型检查点
├── logs/ # Training logs / 训练日志
├── Makefile # Compilation automation / 编译自动化
└── .latexmkrc # latexmk configuration / latexmk 配置
References / 参考文献
See references/ directory for detailed guides / 查看 references/ 目录获取详细指南：
Writing & Style / 写作与风格
writing-guide.md — Academic writing principles (Gopen & Swan, Perez, Lipton) / 学术写作原则de-aigc-guide.md — De-AIGC detection + academic voice preservation / 降AIGC检测 + 学术声音保持vibe-research-workflow.md — Human-AI collaboration rules (Vibe Coding/Writing/Figures) / AI协作研究工作流
Literature & Citations / 文献与引文
citation-workflow.md — Complete citation lifecycle (search→fetch→validate→organize→cite→verify) with Zotero / 完整引文生命周期含Zotero集成scientific-databases-guide.md — 28+ scientific databases via MCP / 28+ 科学数据库MCP集成systematic-review-methodology.md — PRISMA 2020 systematic review + meta-analysis + GRADE / PRISMA系统综述+Meta分析+GRADEdeep-reading-guide.md — Four-pass deep paper reading (bird's eye → decompose → critique → internalize) / 四遍论文精读方法论
Research Planning / 研究规划
idea-evaluation.md — Idea evaluation + Intro six-paragraph model / 构思评估 + Intro六段式模型hypothesis-generation-guide.md — Hypothesis generation, falsification criteria, critical thinking fallacies / 假设生成、证伪标准、批判性思维谬误benchmark-paper-template.md — Benchmark paper 6-stage workflow / 基准论文六阶段工作流data-processing-guide.md — 7-stage data pipeline (acquire→audit→clean→engineer→EDA→split→ready) / 七阶段数据流水线statistical-analysis-guide.md — Test selection, effect sizes, power analysis, Python/R/Stata / 统计方法选择、效应量、功效分析、Python/R/Stataexperiment-design.md — (in workflows/) Experiment design methodology / 实验设计方法论
Quality & Integrity / 质量与诚信
research-integrity-guide.md — Fact-check, hallucination detection, methodology audit / 事实核查、幻觉检测、方法论审计pre-submission-review.md — 5-dimension pre-submission review / 投前五维审查paper-reproduction-guide.md — 6-phase reproduction methodology / 六阶段复现方法论
Figures & Presentation / 图表与呈现
figure-design-guide.md — Scientific figure design (3 load-bearing figures) / 科研作图设计方法论
Domain Methods / 领域方法
causal-inference-guide.md — Causal inference methods (DID/IV/RDD/PSM/SCM/DML) + StatsPAI / 因果推断方法 + StatsPAI
Environment & Templates / 环境与模板
latex-environment.md — TeXLive setup, compilation engines, package troubleshooting / TeXLive安装、编译引擎、包排错journal-templates-guide.md — 12+ venue formatting rules + writing style + blind review checklist / 12+会议排版+写作风格+盲审检查
Tools / 工具
tool-registry.md — 60+ curated tools mapped to stages & disciplines (acquisition→processing→modeling→visualization→writing) / 精选工具注册表
