The article introduces RECENT, a new framework that enhances skill grounding for embodied agents using small language models (sLMs) by focusing on code refactoring rather than complete code regeneration. This approach allows for improved performance in dynamic environments, matching the effectiveness of larger language models while maintaining efficiency.