Awesome AI Research Writing is a curated collection of prompts and agent skills designed to improve academic paper writing using AI tools.
The project addresses the problem that researchers waste time repeatedly debugging and refining prompts for common writing tasks like translation, polishing, and analysis, while top research institutions maintain private template libraries that give their teams an unfair advantage. The approach is to open-source practical writing techniques collected from researchers at leading institutions and PhD students, making these tools accessible to everyone. The collection includes prompt templates for specific scenarios such as translating between Chinese and English in both LaTeX and Word formats, condensing and expanding text, polishing expression in academic papers, checking logical flow, removing AI-generated language patterns, and analyzing experiments. It also provides agent skills—a newer technology that can more powerfully assist paper writing—with accessible tutorials and core writing-related skills extracted for quick adoption.
Researchers writing academic papers in Chinese or English should consider this tool if they want to avoid reinventing prompts for repetitive writing tasks. It suits anyone from PhD students to active researchers who work with both LaTeX and Word documents. The project is particularly valuable for those unfamiliar with prompt engineering or agent skills, as it provides ready-to-use templates that can be copied directly into AI chat interfaces without modification. The collection distinguishes itself by being grounded in real-world usage from active researchers rather than generic writing advice.
The project maintains an organized structure with clearly categorized prompts and skills, suggesting deliberate curation and ongoing refinement. Development activity includes continuous collection of new techniques and best practices from the research community, with recent additions such as an ArXiv translator skill that handles LaTeX source code translation and compilation. The README demonstrates engagement with practical implementation details, including specific guidance for different document formats and warnings about AI-generated language patterns that need removal.
