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Found 111 Skills
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）。
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。
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.
LaTeX tables with tabularray package. TRIGGERS - LaTeX table, tabularray, fixed-width columns, table alignment.
Generate publication-ready regression tables in LaTeX.
Organize messy conference LaTeX template .zip files into clean Overleaf-ready structure. Use when the user asks to "organize LaTeX template", "clean up .zip template", or "prepare Overleaf submission template".
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
Generates and compiles a single-page US Letter LaTeX resume using selected experiences.
For users needing to conduct systematic literature reviews, literature reviews, related work, or literature research: AI automatically generates search terms, performs multi-source retrieval → deduplication → AI reads and scores each paper one by one (1–10 points for semantic relevance and sub-topic grouping) → selects papers based on high-score priority ratio → automatically generates word budget for the review (70% cited sections + 30% non-cited sections, average of three samplings) → free writing in the style of senior domain experts (fixed sections: abstract, introduction, sub-topics, discussion, future outlook, conclusion), with strict verification of main text word count and number of references, and mandatory export to PDF and Word. Supports multilingual translation and intelligent compilation (en/zh/ja/de/fr/es).
Use this when the user explicitly requests to "verify/optimize in-text citations of the `{topic}_review.tex` review" or to "run check-review-alignment". Use the host AI's semantic understanding to verify each citation against the literature content one by one. **Only when fatal citation errors are found**, make minimal rewrites to the "sentences containing citations", and reuse the rendering script of `systematic-literature-review` to output PDF/Word (the script does not directly call the LLM API locally). Core principle: **Do not modify for the sake of modifying**. When it is uncertain whether it is a fatal error, keep the original content and issue a warning in the report. ⚠️ Not applicable in the following cases: - The user only wants to generate the main body of a systematic review (should use systematic-literature-review) - The user only wants to add/verify BibTeX entries (should use a dedicated bib management process)