yanliudesign/Behavior-question-skill

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/yanliudesign/Behavior-question-skill.

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<div align="center"> [中文](./README.zh.md) · **English** # 💭 BQ Skill --- **Turn real past experiences into a reusable behavioral-interview story bank.** [![License](https://img.shields.io/badge/LICENSE-MIT-4c8bf5?style=flat-square&labelColor=333)](./LICENSE) [![Version](https://img.shields.io/badge/VERSION-1.0.0-2ea44f?style=flat-square&labelColor=333)]() [![BQ](https://img.shields.io/badge/BQ-STORY_BANK-8b5cf6?style=flat-square&labelColor=333)]() [![Growth](https://img.shields.io/badge/GROWTH-MINDSET-22a06b?style=flat-square&labelColor=333)]() [![Flows](https://img.shields.io/badge/FLOWS-5-2ea44f?style=flat-square&labelColor=333)]() [![JD Prep](https://img.shields.io/badge/JD_PREP-TOP_20-e37f2c?style=flat-square&labelColor=333)]() [![Stars](https://img.shields.io/github/stars/yanliudesign/behavior-question-skill?style=flat-square&label=STARS&color=e37f2c&labelColor=333)](https://github.com/yanliudesign/behavior-question-skill/stargazers) [![Claude Code](https://img.shields.io/badge/Claude_Code-Skill-d97757?style=flat-square&labelColor=1a1a1a&logo=anthropic&logoColor=white)](https://claude.ai/code) [![Codex](https://img.shields.io/badge/Codex-Skill-2ea44f?style=flat-square&labelColor=1a1a1a)]() [![OpenCode](https://img.shields.io/badge/OpenCode-Skill-4c8bf5?style=flat-square&labelColor=1a1a1a)]() [![OpenClaw](https://img.shields.io/badge/OpenClaw-Skill-8b5cf6?style=flat-square&labelColor=1a1a1a)]() [![Hermes](https://img.shields.io/badge/Hermes-Skill-e879a8?style=flat-square&labelColor=1a1a1a)]() </div> > 📦 Part of the **[offer-toolkit-skill](https://github.com/yanliudesign/offer-toolkit-skill)** — the full job-hunt bundle (JD · Resume · BQ). Install the bundle to get all three in one shot. An agent skill for behavioral interview prep. Instead of handing you canned answers, it helps you dig your real past experiences out and organize them into a story bank you can reuse. It asks about your experience step by step, uses STAR/CAR to shape each story, tags them ("took ownership", "handled ambiguity", etc.), and saves each one in English and Chinese — so next time you get a different behavioral question, the same story still works. ![JD-driven prep report — Top 20 interview-question prep with STAR templates](assets/preview.png) <sub>JD-driven prep output: a Top 20 question set reverse-engineered from a JD, with STAR templates and editable model answers. <i>(Demo uses a fictional candidate — no real personal data.)</i></sub> ## Layout ``` bq-skill/ ├── SKILL.md # Entry point: intent routing + five flows ├── prompts/ │ ├── story-mining.md # ★ Four-layer probing engine (story mining) │ ├── structuring.md # Diagnose + rewrite an existing answer (polishing) │ └── jd-driven-prep.md # ★ JD × resume → Top 20 questions + STAR templates (JD-driven prep) ├── frameworks/ │ ├── star-car.md # STAR/CAR/SOAR selection + one story, many questions │ ├── competency-tags.md # Competency dictionary + BQ reverse-lookup │ └── company-profiles.md # Amazon LP / Meta / Anthropic / OpenAI styles ├── assets/ │ └── bq-prep-report.md # Editorial HTML report spec for JD-driven prep └── story-bank/ # User asset — one .md per story ├── _index.md # Competency → story reverse-lookup table ├── _story-template.md # Story template └── convince-team-rewrite.md # Example story (safe to delete) ``` ## What it can do - **Mine a new story** — pulls real, quantifiable events out of someone who thinks *"I have nothing to talk about,"* then deepens one into a bank-ready story. - **Answer a specific BQ** — check the bank first, reuse a hit, or mine a new one on the spot. - **Polish an existing answer** — diagnose structure problems (Situation too long, "I" vs "we", no quantified result) and rewrite. - **Mock interview** — one question at a time in the target company's style, with feedback. - **JD-driven prep** — reads a JD + your resume, reverse-engineers a Top 20 interview-question set for that role, and builds a STAR prep template for each question. (See next.) ## Hooks into job-description-skill JD-driven prep reuses the **Must-Haves + Hidden Signals** decoded by [job-description-skill](https://github.com/yanliudesign/job-description-skill) to reverse-engineer a **Top 20 interview-question set** for one specific role, builds a STAR prep template per question from your real resume, and outputs an HTML report. ## Usage Tell Claude *"help me prep for behavioral interviews"*, *"mine a story for my bank"*, *"here's a BQ, help me answer it"*, or just run `/bq-skill`. ## Principles 1. **Bank first.** Always check `story-bank/_index.md` before mining — reuse beats re-digging. 2. **One question at a time.** Mining is a conversation, not a questionnaire. 3. **Never fabricate.** All material comes from the user's real experience; every metric is verified with them. ## Making it your own The probing scripts in `prompts/story-mining.md` and the competency dictionary in `frameworks/competency-tags.md` are where to inject your own phrasing and vocabulary — the more you put in, the more the skill sounds like you. ## Related skills - [offer-toolkit-skill](https://github.com/yanliudesign/offer-toolkit-skill) — the all-in-one bundle (JD · Resume · BQ) - [job-description-skill](https://github.com/yanliudesign/job-description-skill) — Job Description Decoder - [resume-builder-skill](https://github.com/yanliudesign/resume-builder-skill) — Resume generation & beautification ## License MIT — fork it, remix it, ship your own version. Created by [Dreameryanyan](https://www.linkedin.com/in/yanliudesign/) · [LinkedIn](https://www.linkedin.com/in/yanliudesign/) · [X](https://x.com/yanliudreamer) · [Xiaohongshu](https://www.xiaohongshu.com/notification)

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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,…

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2026-09-28

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