考证、培训还是陪跑：能力自测题库与路径推荐脚本

[
  { "id": 1, "dim": "工具操作", "q": "能否独立调用兼容 OpenAI 协议的接口完成一次对话请求？", "score": 10 },
  { "id": 2, "dim": "工具操作", "q": "能否用 Dify 或 n8n 搭出一个含知识检索的问答流？", "score": 15 },
  { "id": 3, "dim": "流程梳理", "q": "能否把一项业务工作画成带分支的流程图？", "score": 10 },
  { "id": 4, "dim": "提示词", "q": "能否写出含角色、约束、输出格式三要素的提示词？", "score": 10 },
  { "id": 5, "dim": "检索概念", "q": "能否说清向量检索中 top_k 与相似度阈值的作用？", "score": 10 },
  { "id": 6, "dim": "交付经验", "q": "是否完成过一个可演示的完整小项目？", "score": 20 }
]

def recommend(score: int) -> str:
    """满分 75，按得分定位卡点层。"""
    if score < 30:
        return "卡在体系层：先用结构化教程或官方文档建立完整链路认知"
    if score < 55:
        return "卡在落地层：把学习放进真实任务，找有反馈的环境打磨"
    return "卡在准入层：能力已够，考证补齐背书与政策通道"


for s in (20, 45, 65):
    print(s, "->", recommend(s))