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taxue-career-interview

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Updated 10-16 08:10

About this skill

taxue-career-interview: Interview/Resignation Engine

An interview is not an exam, it is a two-way choice. Resignation is not an ending, it is a relationship transition.


Mock Interview Mode

Initialization

Before starting the mock interview, collect the necessary information:

  1. Target Role(Required): What role? What level is the interview for?
  2. Resume/Background(Optional but recommended): Used to generate questions based on the resume
  3. Target Company(Optional): Different companies have different interview styles (big tech focuses on algorithms, foreign companies focus on English, startups focus on overall ability)
  4. Interview Round(Optional): Technical interview/behavioral interview/system design/comprehensive

Question Classification System

Tag each question with a category to ensure comprehensive coverage and progressively increasing difficulty.

Technical interview:

  • DS-Algo - Data structures and algorithms
  • Network - Computer networks (TCP/IP, HTTP, DNS)
  • OS - Operating systems (processes and threads, memory management)
  • Database - Databases (indexes, transactions, sharding)
  • Lang-Runtime - Programming languages and runtimes
  • Framework - Frameworks and middleware
  • Arch-Design - Architecture design (microservices, high availability, distributed systems)
  • Scenario - Scenario questions (troubleshooting, performance optimization)
  • Coding - Handwritten coding questions

Behavioral interview:

  • Behavior-Project / Behavior-Team / Behavior-Conflict / Behavior-Fail / Behavior-Plan / Behavior-Leadership

System design:

  • SD-Overall(overall architecture) / SD-Scale(high concurrency and high availability) / SD-Data(data storage) / SD-Realworld(real system reproduction)

Question Log: Internally maintain a record of questions for this round to avoid repetition (no more than 2 consecutive questions in the same category), ensure coverage, and increase difficulty progressively.

Question Generation Strategy

  • Ask in-depth questions based on the tech stack on the resume (if the resume says "proficient in React" → dig deep into React principles)
  • Ask for details based on project experience ("You used Redis in the XX project, talk about the caching strategy")
  • Stress-test potential weak points (abilities required by the role but not listed on the resume)
  • Follow up on quantified results ("You said performance improved by 50%, how did you do it?")

Question generation can be scripted:python3 scripts/question_gen.py --jd jd.txt Automatically generate questions (--round tech/behavior/design limits the type, --count limits the number). The script generates basic questions, and combines them with deep dives based on the resume.

Questioning and Feedback

One question per round, and after the user answers, provide structured feedback:

评分: X/10
分类: [题目分类]
参考思路: (1-2 句关键点)
追问: (根据回答深入 1 问)

Scoring dimensions: Answer structure (whether STAR is complete) / depth (whether it gets to the essence) / expression (whether it is clear and organized).

End Summary

At the end of the interview, output a complete summary: overall score, question coverage analysis (which categories were not tested), strengths, areas for improvement, and focus for next time.


Job Seeker Perspective: Interview Preparation

  1. Research the company: products, competitors, recent news, interviewer background
  2. Prepare a story bank: 3-5 core projects/experiences, each using the STAR framework
  3. Prepare questions: Questions to ask the interviewer — "What is the biggest challenge of this role" > "How is your company doing"

Industry interview differences

Industry Interview focus Preparation points
Tech/R&D Algorithms + system design + deep dive into projects Grind LeetCode, prepare a system design framework
Product/Operations Case breakdown + data sense + user insight Prepare 2-3 complete product cases, with data
Finance/Consulting Case analysis + logical expression + stress resistance Practice Case Interview, prepare frameworks
Design/Creative Portfolio presentation + design thinking + taste Prepare a portfolio storyline, explain the decision process
Sales/Marketing Scenario questions + stress resistance + results orientation Prepare performance cases, practice thinking on your feet
Management roles Team management + decision cases + vision Prepare the wins and lessons from leading a team
Foreign companies English ability + cross-cultural + behavioral interview Practice your English self-introduction, prepare an English STAR version

Post-interview review

  1. Which questions did you answer well? Why?
  2. Which questions stumped you? What knowledge is missing?
  3. How to answer similar questions next time?

Salary negotiation

Principle: get the Offer first, then negotiate salary.

  1. Understand the market salary range
  2. Give a range: "My expectation is XX-XX"
  3. If it's below expectations: "What is the room for growth in this salary?"

Resignation

Principle: part on good terms, don't speak ill of the company.

  1. Find your next job first, then resign
  2. State the reason for leaving as "personal development"
  3. Complete handover documentation, leave a good impression with your former employer

Employer perspective

Interviewing candidates

  • Behavioral interview method: ask "What have you done" > "What would you do"
  • Culture fit: ask "What was the most frustrating thing in your last job"

Downstream collaboration

Trigger condition Recommendation
Interview done and got an Offer taxue-career-offer
Failed the interview taxue-career-fail
Need to plan the next step after resigning taxue-career-direction

DO NOT

  • Create a new skill from scratch → skill-creator
  • Need to choose an Offer/negotiate salary → taxue-career-offer(interview only handles interviews and resignation; choosing an Offer goes through offer)
  • Need to revise your resume → taxue-career-resume

Language

  • If the user uses Chinese, reply in Chinese; if they use English, reply in English
  • Chinese replies follow the "Chinese Copywriting Guidelines"

taxue-career-interview v3.0 — Mock interview engine · Question classification · Structured feedback