Academic-writing kit for Claude Code (github.com)

A new academic-writing kit, utilizing the AI agent Claude Code, has been announced to facilitate the scholarly writing process—from initial ideas to completed, source-validated papers. Developed on Andrej Karpathy's LLM-wiki model, this pipeline ensures that while the AI assists in structuring and drafting, the human author remains responsible for asserting the accuracy of the content. The kit is available in two languages: a Czech version that has undergone rigorous empirical testing and a direct English translation that serves as a theoretical framework awaiting real-world application. This initiative is significant for the AI/ML community as it bridges advanced language models with academic rigor, promoting transparency in AI-assisted research. Each language version is a complete project, including its own command structures and guidelines derived from actual use cases, which highlights the model's adaptability and need for ongoing refinement. By emphasizing the importance of ethical academic practices—such as not committing raw texts due to copyright issues—this toolkit showcases a responsible approach to integrating AI in educational contexts while encouraging collaborative improvements through community engagement.