From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills

ArXi:2605.23899v1 Announce Type: new Language agents increasingly improve by reusing \emph{skills} -- structured procedural artifacts distilled from past experience. In particular, \emph{domain-level} and \emph{model-generated} skills are especially promising. They offer fast adaptation within a domain by encoding domain-specific recurring procedures, and they scale beyond labor-intensive hand-crafting.