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Found 163 Skills
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".
Professional document preparation with LaTeX for academic papers, resumes, books, presentations, and formal documents
Compile a LaTeX project and run basic QA (missing refs, bib errors, broken citations), producing `latex/main.pdf` and a build report. **Trigger**: latex compile, build PDF, LaTeX errors, missing refs, 编译PDF, 引用错误. **Use when**: 已有 `latex/main.tex`（通常来自 `latex-scaffold`），需要确认可编译并输出失败原因报告。 **Skip if**: 还没有 LaTeX scaffold（先跑 `latex-scaffold`）。 **Network**: none. **Guardrail**: 编译失败也要落盘 `output/LATEX_BUILD_REPORT.md`；不做“内容改写”，只做编译/QA。
Professional LaTeX figure and table positioning. Handle float placement, subfigure/subtable layouts, side-by-side arrangements, and cross-column figures. Does NOT adjust sizes, widths, or scaling.
11 latex skills. Trigger: LaTeX typesetting, formatting papers, mathematical notation, Beamer. Design: template-based guides with package recommendations and compilation tips.
Initialize LaTeX Academic Project with standard structure, macros, and writing guide. Use when user wants to create a new LaTeX paper project for any conference or journal.
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).
Based on the content of NSFC proposal text and combined with the application code recommendation library, provide you with 5 sets of recommended primary/secondary application codes (Code 1/Code 2) with justifications; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, no modification to the proposal)
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)
Remove AI-generated tone from NSFC grant proposals, making the text read as if written by a senior domain expert (Not applicable: non-proposal content/format modification required/new content supplementation required)
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
Optimize and prepare figures for arXiv submission: format conversion (EPS/PDF/PNG/JPG), size reduction, metadata stripping, processor compatibility (DVI vs PDFLaTeX). Triggers on: "optimize figures for arXiv", "reduce figure size", "convert figures for arXiv", "fix arXiv figures", "figure too large", "arxiv image compression". Companion to arxiv-preflight and arxiv-package.