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…

MITAuto-check passedBusiness, Finance & HR

Install Bq Skill

skills CLI
$ npx skills add yanliudesign/offer-toolkit-skill --skill bq-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yanliudesign/offer-toolkit-skill bq-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yanliudesign/offer-toolkit-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bq-skill .claude/skills/bq-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bq-skill
GitHub stars
520
Token cost
~985 tokens
SKILL.md length
273 words
Files
19 (incl. assets)
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 4 steps: 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… → 深挖层 — 对选中的事件,逐个补全 STAR,重点逼出最常缺的… → 打标层 —… → …
  • Business, Finance & HR work in your project
  • SKILL.md covers 路由:用户进来时先判断意图, 挖掘新故事, 回答一道具体 BQ and 打磨已有故事, plus 4 more sections
  • Calls claude

What it does

Bq Skill is an agent skill from yanliudesign/offer-toolkit-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。

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including assets (for example `README.md`, `README.zh.md` and `assets/bq-prep-report.md`).

It sits in Business, Finance & HR. The repository describes itself as: Full job-hunt Claude skill bundle — Job Description decoder + Resume builder (11 templates) + Behavioral Interview / story bank. Three self-contained sub-skills with a top-level… The licence is MIT.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “/bq-skill”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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。

What it can do on your machine

Read from SKILL.md and the folder at commit f66c4b7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bq Skill loads about 985 tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 273 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~985

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from yanliudesign/offer-toolkit-skill at commit f66c4b7, republished under its MIT licence (© yanliudesign). 273 words, ~985 tokens.

Download SKILL.mdSave it as .claude/skills/bq-skill/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.
name
bq-skill
description
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。

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。
    • 命中 → 取出故事,按这道题的角度重新组织开场和落点(同一个故事可以打多道题,框架见 frameworks/star-car.md)。
    • 未命中 → 转「挖新故事」 现场挖一个,挖完再回答。
  3. 产出答案:默认中英双语 —— 英文是面试可直接说的版本,附中文要点供复盘。
  4. 顺手存进故事库:如果是现场新挖的,存进库。

打磨已有故事

执行 prompts/structuring.md:诊断用户现有答案的结构问题(常见:Situation 太长、看不出"我"做了什么、没有量化 Result、能力标签不清晰),给出改写。改完可存库。


模拟面试

  1. 问目标公司/岗位,加载 frameworks/company-profiles.md 对应风格。
  2. 按该公司常考维度出 1 道题,一次一道。
  3. 用户作答后给反馈:结构(STAR 是否完整)、能力信号是否清晰、量化是否到位、与该公司维度的契合度。
  4. 把答得好的故事提示用户存库。

JD 驱动的 BQ 选题 + 准备

针对某个具体岗位做定向 BQ 准备。完整执行 prompts/jd-driven-prep.md,五步流程:

① 上传 JD → ② 上传简历 → ③ 生成 Top 20 选题(对着 JD)→ ④ 基于你的经历给 STAR 准备模板 → ⑤ 输出 HTML 报告
  1. 拿 JD — 优先复用 ../job-description-skill/jd-bank/ 里已解码的 Must Have + Hidden Signals;没有就让用户贴 JD,先过一遍解码。
  2. 拿简历全文 — 给每段经历打能力标签,为配对做准备。简历太薄 → 转「挖新故事」 先挖几个故事。
  3. 交叉分析 → Top 20 选题 — 四类(Behavior 通用 / 公司价值观定制 / 岗位专业向 / Level 阶段定制)。每题必带「考什么 + 为什么这家会问(指向 JD 某条 Must Have / Hidden Signal)+ 配哪个故事」。
  4. 逐题准备模板 — 默认对 Top 5 必练写完整 STAR 模板:S/T 用简历事实填实,A/R 留占位符引导用户填真实动作和数字,绝不杜撰。标注一稿多用。
  5. 缺口清单 — JD 要、简历没素材的题如实列出,导流到「挖新故事」 现场挖。
  6. HTML 报告 — 默认输出到 ~/Desktop/Claude skills/bq-prep-<company>-<role>-<YYYYMM>.html(视觉规范见 assets/bq-prep-report.md)。
  7. 回写 — 把 JD↔故事映射写回 job-description-skill 的 jd-bank 文件「Predicted Questions」,形成完整求职链路。

这是 job-description-skill 面试预测流程的下游深化:那边给「会问什么」,这里给「用你的真实经历怎么答 + 模板」。


故事库(Story Bank)

  • 位置:本 skill 目录下 story-bank/,每个故事一个 .md。
  • 元数据靠 frontmatter(tags / competencies / company_fit / metrics / framework / status)。
  • _index.md 是反查表:能力标签 → 故事文件,是「答题」 复用的入口。
  • 每次新增或修改故事,务必同步更新 _index.md。

参考文件(按需读取,别一次全加载)

  • prompts/story-mining.md — 四层追问引擎(「挖新故事」 核心)
  • prompts/structuring.md — 结构化诊断与改写(「打磨已有故事」)
  • prompts/jd-driven-prep.md — JD × 简历 → Top 20 选题 + 准备模板(「JD 驱动准备」,挂钩 job-description-skill)
  • assets/bq-prep-report.md — 「JD 驱动准备」 的 HTML 报告视觉规范
  • frameworks/star-car.md — STAR / CAR / SOAR 何时用哪个、同一故事多角度复用
  • frameworks/competency-tags.md — 能力标签词典 + BQ 题型反查
  • frameworks/company-profiles.md — Amazon LP / Meta / Anthropic / OpenAI 等评价风格
  • story-bank/_story-template.md — 故事文件模板
  • story-bank/_index.md — 故事索引

© yanliudesign, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 18 other files (assets) in bq-skill of yanliudesign/offer-toolkit-skill.

  • SKILL.md
  • .gitignore
  • README.md
  • README.zh.md
  • assets/bq-prep-report.md
  • assets/demo-report.html
  • assets/en/.gitkeep
  • assets/preview.png
  • assets/zh/.gitkeep
  • frameworks/company-profiles.md
  • frameworks/competency-tags.md
  • frameworks/star-car.md
  • prompts/jd-driven-prep.md
  • prompts/story-mining.md
  • prompts/structuring.md
  • story-bank
  • … and 3 more

Open the folder on GitHubat commit f66c4b7

Compare with similar skills

Bq Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Questions about Bq Skill

What does Bq 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…. Bq Skill is an agent skill from yanliudesign/offer-toolkit-skill.

When should I use Bq Skill?

Bq Skill fits situations like: business, Finance & HR work in your project.

How do I install Bq Skill in Claude Code?

Run `npx skills add yanliudesign/offer-toolkit-skill --skill bq-skill -a claude-code`. Or copy the skill folder (bq-skill in yanliudesign/offer-toolkit-skill) into .claude/skills/bq-skill in your project. Claude Code loads it when a task matches its description.

How do I install Bq Skill in Codex?

Run `npx skills add yanliudesign/offer-toolkit-skill --skill bq-skill -a codex`. Or copy the skill folder (bq-skill in yanliudesign/offer-toolkit-skill) into .agents/skills/bq-skill in your project. Codex loads it when a task matches its description.

Can I use Bq Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yanliudesign/offer-toolkit-skill --skill bq-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bq-skill, .gemini/skills/bq-skill, .github/skills/bq-skill and .opencode/skills/bq-skill in your project.

What does Bq Skill need to run?

Going by SKILL.md and its folder, Bq Skill needs the command-line tools its instructions call (claude).

Does Bq Skill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bq Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bq Skill use?

Bq Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bq Skill use?

About 985 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bq Skill?

Skills that share tags, products or a category with Bq Skill: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bq Skill?

yanliudesign (a GitHub user) maintains it in yanliudesign/offer-toolkit-skill, which has 520 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 29, 2026.

Source: yanliudesign/offer-toolkit-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.