def METHOD_NAME(ctx: Context, actor: Actor, excluded_skills=None, *args, **kwargs) -> str:
    caption = (
        int_ctx.get_last_human_utterance(ctx, actor)
        .get("annotations", {})
        .get("image_captioning", {})
        .get("caption", "")
    )
    if caption != "" and caption is not None:
        verb = loc_prs.extract_verb_from_sentence(caption)
        if verb != "" and verb is not None:
            int_ctx.set_confidence(ctx, actor, SUPER_CONFIDENCE)
            response = random.choice(
                [
                    f"Do you enjoy {verb} with other people?",
                    f"Why do these people {verb}?",
                ]
            )
        else:
            int_ctx.set_confidence(ctx, actor, SUPER_CONFIDENCE)
            response = random.choice(
                [
                    "Are they your friends?",
                    "Do you know these people?",
                ]
            )
    else:
        int_ctx.set_confidence(ctx, actor, DEFAULT_CONFIDENCE)
        response = DEFAULT_RESPONSE
    logger.info(f"dff-image-skill people response: {response}")
    return response