interview-preparation

Interview Preparation

Produce a thorough, role-tailored interview preparation guide in Markdown. The guide covers risk profiling and assessment framework, personal pitch, project deep-dives (STAR), and three parallel interview-type sections — Deep-Probing Technical Q&A, Breadth Probe Questions, Behavioral & Cultural Fit — where every question carries quantifiable Scoring Points and a structured Reference Answer. Closes with reverse-interview questions.

When to trigger

Activate when the user has all three of the following and asks for interview prep:

1. A Resume (YAML from data/resumes/ or data/profiles/).
2. A JD Analysis (e.g. data/.cache/<Timestamp>/job-analysis.yml).
3. A Company Business Analysis (e.g. data/.cache/<Timestamp>/company-business-analysis.yml).

If any of the three is missing, ask the user to provide it (or to run the resume-generation skill first, which produces the latter two as side effects).

Inputs you must read

• The provided Resume YAML.
• The provided JD Analysis YAML (the language field governs the output language; supported: en, zh-hans, zh-hant-hk, zh-hant-tw, es, fr, no).
• The provided Company Business Analysis YAML.

Outputs you will produce

A single Markdown guide:

• Path: data/interviews/{CandidateName}_{Company}_Interview_Guide.md
  • CandidateName — from Resume basics.name.
  • Company — from JD Analysis company.
  • Replace spaces with underscores _.

Workflow

Generate the guide following the detailed prompt in references/interview-guide.md. Required sections:

1. Technical Deep-Probing Reconnaissance — Cross-validate resume vs JD, identify gaps, contradictions, and "smokescreens." Generate a "One-Sentence Risk Assessment," "Top 3 Core Skepticisms," and a prioritized Assessment Framework table (Assessment Area | Relevant Tech Points | Assessment Priority). Infer experience level (Junior / Mid / Senior / Lead / Manager) from the resume and adjust depth of all subsequent sections accordingly.
2. Best-Practices Research — For every high-priority assessment area, search authoritative sources (DeepWiki, Context7, Web Search, WebFetch) to gather current best practices, canonical patterns, and pitfalls. These findings anchor the Reference Answers and Scoring Points in sections 5–7, so the guide reflects what a strong practitioner would actually say, not generic textbook material.
3. Personal Introduction Strategy — "Tell me about yourself" script tying business background, technical background, and alignment with the target JD and company. Reference the Risk Profile to frame strengths as counterpoints to identified skepticisms. For senior candidates (>5 years), explicitly cover Project Management, Leadership, and Strategic Thinking.
4. Project Deep Dives — STAR analysis for every project on the resume, with both breadth (architecture) and depth (implementation) coverage.
5. Deep-Probing Technical Q&A — 10–15 targeted questions (8–10 for Junior candidates), each with 2–3 follow-up questions, quantifiable Scoring Points, and a structured Reference Answer. ~80% anchored to resume tech stack / project experience / JD requirements. Questions progress from shallow (implementation) to deep (architecture). Categories: Specific Technical, Architecture/Design, Domain-Specific.
6. Breadth Probe Questions — 3–5 questions targeting technologies the resume lists as "familiar with," "exposure to," or "knowledge of" that are NOT core JD requirements. Each question carries follow-ups, quantifiable Scoring Points, and a Reference Answer. These assess intellectual honesty, learning breadth, and transferable reasoning.
7. Behavioral & Cultural Fit — 3–5 level-appropriate behavioral questions. Each carries a scenario, quantifiable Scoring Points, and a STAR-structured Reference Answer connecting to resume experiences. Where possible, frame scenarios around risks identified in the Reconnaissance phase.
8. Questions to Ask (Reverse Interview) — 3 high-quality questions: Business-level, Team/Technical, Current Challenges.