中文 · English

💭 BQ Skill

---

Turn real past experiences into a reusable behavioral-interview story bank.

📦 Part of the 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 output: a Top 20 question set reverse-engineered from a JD, with STAR templates and editable model answers. (Demo uses a fictional candidate — no real personal data.)

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 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.