What HDVO Forces You to Notice: A Skill-Creator Built in One Iteration In a previous post , I described HDVO™ as a framework for addressing pattern retrieval — the failure mode where an AI generates responses from training-distribution shapes rather than from the specific artifact in front of it. The mechanism was abstract: anchoring, construction, crystallization. Live implementations like SMap and Groundwater Management showed the framework at work on systems the author had built. A reasonable question is whether the framework adds value when applied cold to a different domain — one where established tools already exist and the model has plenty of training-distribution patterns to retrieve from. This post is a concrete demonstration in such a domain. The Test Case A skill-creator is a meta-artifact: a document that teaches a downstream AI agent how to author skill documents — purpose, triggers, process, examples, edge cases — given a prompt of the form “create a skill for X.” Th...