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Found 163 Skills
Convert markdown or text content to a professionally formatted LaTeX PDF report. Use when the user wants to create a PDF report, convert markdown to PDF, or generate a formal document.
Comprehensive LaTeX reference for document creation, formatting, mathematics, tables, figures, bibliographies, and compilation. Use when helping users write, edit, debug, or compile LaTeX documents.
Write, revise, and polish SCI journal papers based on LaTeX paper projects. Defaults to AI autonomous mode, and also supports human-machine collaboration where only review plans are output; provides author-stylized writing, numerical fact verification, multi-round logical tree review, and a closed-loop PDF/Word rendering workflow. ⚠️ Not applicable: Format/style parameter-only modifications, pure reference management, image processing, non-paper writing tasks.
LaTeX tables with tabularray package. TRIGGERS - LaTeX table, tabularray, fixed-width columns, table alignment.
Scaffold a LaTeX project (`latex/main.tex`, bibliography wiring, structure) from an existing Markdown draft and `citations/ref.bib`. **Trigger**: latex scaffold, md→tex, LaTeX 项目骨架, 生成 main.tex. **Use when**: 需要 LaTeX/PDF 交付（例如 arxiv-survey-latex pipeline），且 draft 已生成/已进入写作阶段。 **Skip if**: 还没有 `output/DRAFT.md`（或你不需要 LaTeX 交付）。 **Network**: none. **Guardrail**: 移除 markdown 残留（`##`, `**`, `[@...]`）；bibliography 指向 `citations/ref.bib`；不在此步骤改写内容。
Must be used when users explicitly request "recommend submission journals", "help me choose SCI journals for my paper", "which journals is this manuscript suitable for", "journal matching/journal selection/submission suggestions". Applicable to scenarios where users provide full text, abstracts, Markdown, LaTeX, PDF, Word, or mixed materials; This skill will first use the built-in `2023IF.xlsx` to perform minimum hard filtering to generate a candidate pool based on the manuscript and user preferences, then the host model will independently plan Set1/Set2/Set3, verify the scope / quality / PubMed papers of the last 3 months via the internet, and finally output a Markdown journal selection report sorted by recommendation level. ⚠️ Not applicable: Users only want to polish papers, only want to translate abstracts, or only ask about the official website information of a single journal without needing systematic journal selection.
This skill is to be used when users explicitly request "migrate LaTeX templates", "integrate old projects into ChineseResearchLaTeX", "apply old bids/papers/graduation theses/resumes to the current template", "organize Word/PDF/Markdown/scattered tex files into existing projects", or directly mention `transfer-old-latex-to-new`. The old alias `migrating-latex-templates` is also supported. This skill only migrates the main content to the content layer of the existing templates in the current repository; it must never modify the source code of public packages in `packages/`, nor modify the template styles or entry skeletons in `projects/`, and can only write to content files allowed to carry the main content in the target project.
Write/refactor the NSFC main text section (II) Research Content, and synchronously organize the Characteristics and Innovations and Three-Year Annual Research Plan, outputting three extraTex files that can be directly applied to LaTeX templates. Suitable for scenarios where users need to write/revise research content, research objectives, key scientific issues, technical routes, innovation points, three-year plans/milestones, etc.
This skill is used when users explicitly request "LaTeX template optimization", "style parameter alignment", "pixel-level comparison", "make-latex-model" or the old notation "make_latex_model", or when they want to turn a project in ChineseResearchLaTeX into a high-quality template. It supports four product lines: NSFC / paper / thesis / cv; first determine whether to modify the project layer or the public package based on the actual hierarchy of packages/ and projects/, then use the official build entry of each product line for acceptance. If modification to the public packages under packages/ is necessary, a regression plan for affected templates must be generated first and relevant regression completed; the NSFC special tool is only used on demand when it clearly falls into the NSFC parameter alignment scenario.
LaTeX Assistant for Chinese Academic Theses (PhD/Master's). Fields: Deep Learning, Time Series, Industrial Control. Trigger Words (call any module independently): - "compile", "compile", "xelatex" → Compilation Module - "structure", "structure", "map" → Structure Mapping Module - "format", "format", "GB/T", "national standard" → National Standard Format Checking Module - "expression", "expression", "polish", "academic expression" → Academic Expression Module - "logic", "coherence", "logic", "cohesion", "methodology", "methodology" → Logical Cohesion & Methodology Depth Module - "long sentence", "long sentence", "split" → Long & Complex Sentence Analysis Module - "bib", "bibliography", "bibliography" → Bibliography Module - "template", "template", "thuthesis", "pkuthss" → Template Detection Module - "deai", "de-AI editing", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "title", "title optimization", "generate title" → Title Optimization Module
AI-enhanced LaTeX Example Intelligent Generator, achieving organic integration of AI and hard-coding. AI handles "semantic understanding" (analyzing chapter themes, inferring resource relevance, generating coherent narratives), while hard-coding is responsible for "structure protection" (format validation, hash verification, access control). It applies to scenarios where users request "filling example content/generating examples/supplementing LaTeX examples".
智能迁移NSFC LaTeX标书到新版模板，基于五阶段工作流（分析→映射→规划→执行→验证），自动处理结构变化、内容重组、引用更新；支持AI驱动语义匹配与启发式回退，并提供 runs 输出隔离（--runs-root）与一键迁移脚本（migrate.sh）。