Agent-oriented computing is a technique for generating an agent that operates autonomously according to behavior knowledge. Moreover, an agent can have a characteristic called "Learning" skill. More efficient operation of an agent can be expected by realizing "Learning" skill. In this research, our aim is to support an agent designer who designs and develops an agent equipped with "Learning" skill. We propose a design support mechanism of a learning agent on a repository-based agent framework called the DASH framework. The proposed mechanism enables an agent designer to design and implement the learning agent without great expertise, thereby reducing the designer's burden. Herein, we explain the DASH framework, Q-Learning, and the proposed design support mechanism. Moreover, we demonstrate the effectiveness of the proposed method using some experiments.