Docx

论文手 automates the creation of mathematical modeling competition papers in both Word and LaTeX, ensuring content consistency across formats. It validates official contest rules, manages evidence mapping between claims and results, and enforces quality gates before delivery.

This skill builds and validates mathematical modeling LaTeX papers from official or built-in templates, handling project initialization, compilation with XeLaTeX or other engines, and quality checks against contest rules. It can also convert finished LaTeX documents to Word format when needed.

Paper Search queries OpenAlex and AnySearch in parallel to find research papers, then cross-validates results by DOI and title similarity to surface the most relevant matches. Results are ranked by query coverage and relevance, with source attribution preserved for verification.

建模手 guides mathematical modeling workflows by systematically analyzing problem statements, identifying constraints and data requirements, then recommending tailored model approaches. It produces structured analysis reports and terminology tables to support the model selection and algorithm design phases before implementation begins.

ocr_kb processes PDF documents page-by-page using multimodal models to extract text, LaTeX formulas, and independent research figures with global numbering. It generates incremental DOCX output with quality checkpoints every two pages, supports environment cleanup and partial reruns, and maintains progress through checkpoint files for reliable recovery.

Academic Paper Writer Pro transforms research papers across multiple input formats—PDF, DOC, DOCX, and Markdown—into polished Word documents. The skill routes each source through a specialized pipeline: OCR for scanned PDFs, XML-level reformatting for existing Word files, or direct conversion for Markdown sources. It handles complex academic elements including LaTeX equations, figures, tables, and reference management while preserving formatting integrity.