Automates the production of publication-ready LaTeX research papers from experimental results and data reports.
The Academic Paper Writer skill streamlines the transition from research completion to publication by generating structured LaTeX documents directly from experimental data. Following a rigorous two-stage process—beginning with a comprehensive outline and progressing to polished prose—it ensures all papers adhere to the IMRAD format and specific conference styles like NeurIPS. This skill handles complex formatting tasks including BibTeX citation management, mathematical macro integration, and professional table construction using the booktabs package, allowing researchers to focus on their core findings while maintaining high editorial standards.
主要功能
01Automated BibTeX management and citation styling (parenthetical and textual)
020 GitHub stars
03NeurIPS-style LaTeX template integration with pre-configured style files
04Two-stage workflow: Detailed outline development followed by prose generation
05Standardized IMRAD structure (Introduction, Methods, Results, and Discussion)
06Support for professional table formatting and complex mathematical macros
使用场景
01Generating structured documentation for complex scientific methodologies and findings
02Transforming experimental logs and REPORT.md files into formal research drafts
03Preparing academic submissions for machine learning and NLP conferences
