leey21/awesome-ai-research-writing

This is a curated, open-source collection of prompts and tooling aimed at helping people write academic research papers with the help of large language models. The README explains the motivation in plain terms: the authors noticed that prompt engineering has quietly become a hidden resource in academia, top research groups maintain polished prompt libraries while most students are figuring it out from scratch, and they wanted to share what works. The authors say they surveyed researchers at institutions like Microsoft Research Asia, ByteDance's Seed lab, and the Shanghai AI Lab, along with master's and PhD students from Peking University, USTC, and Shanghai Jiao Tong University, then packaged the writing techniques those people actually use day-to-day. The repository is organised in two parts. Part one is a prompt template library covering very specific paper-writing tasks: translating between Chinese and English (and Chinese-to-Chinese rewrites), shortening or expanding text, polishing both English and Chinese papers, logic checking, stripping the so-called AI flavour out of generated text, generating titles for figures and tables, analysing experimental results, reviewing a paper from a reviewer's perspective, and choosing which model to use. Part two covers agent skills, including configuration, an overview, and example prompts, and links to a separate arxiv-translator-skill the same team built to translate ArXiv papers from their LaTeX source. The project pitch is copy-paste-ready prompts drawn from real research workflows, continuously updated. Most of the prompt content is written in Chinese.