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","[Truncated]"] 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 ): 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 : # 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.