SkillJuror introduces a framework for evaluating the organization of agent skills in large language models, demonstrating that effective skill organization can significantly enhance runtime behavior and task performance. The study reveals that the benefits of this organization are task-dependent, highlighting the importance of actionable resources in procedural knowledge application.