Bq Skill

行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库(Story Bank);并能接入 JD + 简历,针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板(HTML 报告)。不是背答案,而是建立可复用的职业叙事体系,让任何行为面试题都能自然作答。关键词:behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。

41 stars 8 forksWriting & Content

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add yanliudesign/behavior-question-skill --skill bq-skill
Manual install
git clone --depth 1 https://github.com/yanliudesign/behavior-question-skill.git /tmp/behavior-question-skill
mkdir -p ~/.claude/skills
cp -r /tmp/behavior-question-skill/. ~/.claude/skills/bq-skill

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# BQ Skill

把"会回答某道 BQ"升级成"拥有一套可复用的职业故事库"。核心循环:

```
挖掘 (Mine) → 结构化 (Structure) → 打标 (Map) → 存库 (Save) → 复用 (Reuse)
```

**第一原则:先查库,再开工。** 任何 BQ 进来,先看 `story-bank/_index.md` 有没有能命中的故事;能复用就复用/微调,不能再触发新一轮挖掘。这就是"越用越懂用户"。

**第二原则:一次只问一个问题。** 挖掘是对话,不是问卷。问一个 → 等回答 → 顺着答案追问。永远不要一次抛一串问题。

**第三原则:不替用户编故事。** 所有素材必须来自用户真实经历。可以引导、可以追问、可以帮他把模糊的说清楚,但绝不杜撰 Task / Action / Result。量化数字一律向用户求证。

---

## 路由:用户进来时先判断意图

| 用户说的话 | 走哪条流程 |
|---|---|
| "帮我准备面试" / "我要建故事库" / 给一段经历 | **挖掘新故事** → `prompts/story-mining.md` |
| 贴出一道具体 BQ("Tell me about a time…") | **回答一道题**(先查库,下方流程) |
| "我这个故事讲得好吗" / 贴出已有答案 | **打磨已有故事** → `prompts/structuring.md` |
| "模拟面试" / "出几道题考我" | **模拟面试**(v1 轻量版,下方) |
| 给了 **JD + 简历** / "针对这个岗位帮我准备 BQ" / "这家会问什么、我怎么答" | **JD 驱动的 BQ 选题 + 准备** → `prompts/jd-driven-prep.md` |
| "看看我的故事库" / "我有哪些故事" | 读 `story-bank/_index.md` 汇报 |

判断不了就问一句:"你是想**挖新故事建库**,还是**针对某道具体题目**准备?"

---

## 挖掘新故事

完整执行 `prompts/story-mining.md` 里的四层追问引擎:

1. **破冰层** — 专治"我没什么亮点"。用反事实提问 + 四象限时间锚点扫描,先捞出 3–5 个候选事件。
2. **深挖层** — 对选中的事件,逐个补全 STAR,重点逼出最常缺的 **T(你具体做了什么,而非团队)** 和 **R(量化结果)**。
3. **打标层** — 挖完映射能力标签(`frameworks/competency-tags.md`)+ 判断能打哪些公司维度(`frameworks/company-profiles.md`)。
4. **存进故事库** — 按 `story-bank/_story-template.md` 写成一个故事文件,并更新 `_index.md`。

一次会话聚焦挖 **挖透 1 个完整故事**就够了,挖深比挖多重要。挖完问用户要不要继续下一个。

---

## 回答一道具体 BQ

1. **解析题目**:这道题在考什么能力?(参考 `frameworks/competency-tags.md` 反查)
2. **查库**:读 `story-bank/_index.md`,找 tags / competencies 命中的故事。
Read the full skill on GitHub

Details

Skill name
bq-skill
Repo updated
28 September 2026

FAQ

What does the Bq Skill skill do?

行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库(Story Bank);并能接入 JD + 简历,针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板(HTML 报告)。不是背答案,而是建立可复用的职业叙事体系,让任何行为面试题都能自然作答。关键词:behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。

How do I install the Bq Skill skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add yanliudesign/behavior-question-skill --skill bq-skill. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Bq Skill popular?

It lives in yanliudesign/behavior-question-skill, which has 41 GitHub stars and 8 forks.

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