Readers discussing the Ask HN thread suggest the most useful concrete AI skills are engineering fundamentals—especially scaling verification through testing practices, clear problem framing, and knowing when an LLM is stuck—rather than generic prompt tricks. Others recommend hands-on experience building models or harnesses around completion models to understand how LLMs actually behave. Some argue the core skill is management-style communication and requirements structuring, especially when working with cheaper or less capable models.