academic-research

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。

# macOS / Linux
bash scripts/check-environment.sh

# Windows PowerShell
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):

1. Seed paper identification via arXiv API + Semantic Scholar / 通过 arXiv API + Semantic Scholar 确定种子论文
2. 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）
3. Abstract screening and relevance scoring (0-10) / 摘要筛选和相关性评分
4. Full-text analysis of top-ranked papers / 高分论文全文分析
5. Synthesis into structured review with BibTeX entries / 综合为结构化综述并生成 BibTeX
6. 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):

1. Select template from templates/<venue>/ / 从模板目录选择目标会议模板
2. Generate paper structure / 生成论文结构（abstract → intro → method → experiments → conclusion）
3. Section-by-section writing with quality checkpoints / 逐节写作，带质量检查点
4. Insert figures, tables, algorithms via TikZ/algorithm2e / 插入图表、算法
5. Compile with auto-detected engine / 使用自动检测的引擎编译
6. Self-review with 7-dimension reviewer simulation / 7 维度审稿人模拟自审
7. 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):

1. Claims-to-experiments mapping / 论点到实验的映射
2. Baseline selection and justification / 基线选择与论证
3. Evaluation protocol design (metrics, datasets, splits) / 评估协议设计
4. Statistical significance testing plan / 统计显著性检验计划
5. Ablation study design / 消融实验设计
6. 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):

1. Parse reviewer comments into structured items / 将审稿意见解析为结构化条目
2. Classify: accept/argue/clarify/experiment / 分类：接受/辩论/澄清/实验
3. Draft point-by-point response / 起草逐条回复
4. Plan additional experiments if needed / 如需要则规划额外实验
5. 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:

# macOS / Linux
bash scripts/compile.sh -e <engine> -b -c <file.tex>

# Windows PowerShell
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)

1. Existence check / 存在性检查: Does the cited paper exist? / 引用的论文是否存在？
2. Claim accuracy / 准确性: Does the paper actually support the claim? / 论文是否确实支持该论点？
3. Metadata correctness / 元数据正确性: Are authors, year, venue correct? / 作者、年份、会议是否正确？
4. BibTeX validity / BibTeX 有效性: Does the entry compile without errors? / 条目是否能无错编译？
5. 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：
  1. Novelty & contribution / 新颖性与贡献
  2. Technical soundness / 技术可靠性
  3. Clarity & presentation / 清晰度与呈现
  4. Experimental rigor / 实验严谨性
  5. Related work coverage / 相关工作覆盖度
  6. Reproducibility / 可复现性
  7. 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+GRADE
• deep-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/Stata
• experiment-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