Show HN: A Claude Code skill that scopes problems like Peter Naur (github.com)

A new AI skill called "cartographer" has been introduced, designed to enhance software development by emphasizing problem-theory before jumping to solutions. Inspired by insights from Peter Naur, this approach treats programming as a process of theory building rather than mere text production. It encourages developers to construct a clear understanding of the real-world context in which the software will operate before defining any technical requirements. The ultimate deliverable is a detailed mapping of how the software corresponds to its intended environment, rather than a conventional specification or ticket list. This skill is significant for the AI/ML community as it promotes a more foundational approach to software design, reducing the risk of misalignment between user needs and the resulting code. By prioritizing the clarification of problem-theories—which include understanding who the stakeholders are and their actual needs—developers are better equipped to create effective solutions that adapt alongside changing real-world requirements. The methodology offers a structured framework for addressing ambiguities, ensuring that valid insights shape coding practices, thereby enhancing overall software reliability and relevance in continuously evolving domains.