interview-prep

GitHub

针对特定公司与岗位生成定制化面试准备包。根据轮次类型,提供高概率问题、基于真实经历的STAR结构回答、能力映射的故事库、针对性提问及弱点应对策略,拒绝通用模板。

skills/interview-prep/SKILL.md mohitagw15856/pm-claude-skills

Trigger Scenarios

准备特定公司的面试 练习行为/案例/PM面试 获取角色答案准备

Install

npx skills add mohitagw15856/pm-claude-skills --skill interview-prep -g -y
More Options

Use without installing

npx skills use mohitagw15856/pm-claude-skills@interview-prep

指定 Agent (Claude Code)

npx skills add mohitagw15856/pm-claude-skills --skill interview-prep -a claude-code -g -y

安装 repo 全部 skill

npx skills add mohitagw15856/pm-claude-skills --all -g -y

预览 repo 内 skill

npx skills add mohitagw15856/pm-claude-skills --list

SKILL.md

Frontmatter
{
    "name": "interview-prep",
    "description": "Prepare for a specific interview at a specific company, not just 'an interview'. Use when asked to prep for an interview, prepare answers for a role, practice for a specific company's interview, or get ready for a behavioural\/case\/PM round. Produces a tailored prep pack — likely questions for this role & round, STAR-structured answers from your background, your stories mapped to their competencies, questions to ask, and the gaps to shore up."
}

Interview Prep Skill

Generic interview prep ("tell me about a weakness") is nearly useless — interviews are won by being ready for this company's this round. This skill builds a tailored prep pack: the questions you're actually likely to get, STAR-structured answers drawn from your real experience, your best stories mapped to the role's competencies, and the gaps to address before you walk in.

Required Inputs

Ask for these only if they aren't already provided:

  • Role & company (and the job description if you have it — pair with jd-decoder / company-brief).
  • Round type — recruiter screen, behavioural, case/product sense, technical/analytical, execution, or panel/final.
  • Your background — CV or a summary of your experience and your strongest stories.
  • Known concerns — anything you're worried they'll probe (a gap, a pivot, a short tenure).

Output Format

Interview Prep: [role] at [company] — [round]

1. What this round tests — the 3–5 competencies this specific round screens for, and how they'll likely probe each.

2. Likely questions — the realistic questions for this role/round (behavioural, case, or technical as fits), ordered by likelihood — not a generic list.

3. Your answers (STAR) — for the top behavioural questions, draft answers from the candidate's real background using Situation · Task · Action · Result — concise, quantified, first-person. For case/product questions, give a structured approach + a worked example.

4. Story bank — your 4–6 strongest stories, each mapped to the competencies they cover, so you can flex one story across several questions.

5. Questions to ask them — sharp, role-specific questions (lean on company-brief) that show you've done the work.

6. Gaps & landmines — the weak spots (a tenure gap, a missing skill, a pivot) and how to address each honestly and confidently if it comes up.

Deeper Materials

Quality Checks

  • Questions are tailored to the specific role and round, ordered by likelihood — not generic
  • STAR answers use the candidate's real experience and quantify the result
  • A reusable story bank maps stories to competencies (so prep scales across questions)
  • Questions-to-ask are company-specific, not boilerplate
  • Known gaps/landmines have an honest, confident handling plan

Anti-Patterns

  • Do not produce a generic question list — prep is only useful when it's for this round at this company
  • Do not write fabricated achievements into STAR answers — build from the candidate's real stories
  • Do not over-script — answers should be structured talking points, not memorised paragraphs that sound robotic
  • Do not dodge the candidate's weak spots — rehearse an honest, confident response instead of hoping it won't come up
  • Do not ignore the round type — a behavioural prep and a case prep are different documents

Based On

Structured interview preparation — STAR/behavioural method, competency-mapped story banks, role-and-round tailoring.

Version History

  • 961cbeb Current 2026-07-11 19:46

    版本3更新:引入深度参考资料(如故事矩阵),强化内容结构化与校准,提升准备材料的实用性和针对性。

  • a38bc30 2026-07-05 11:37

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