pm-interview-prep

Solid

PM Interview Preparation — practice product sense, execution, behavioral, and strategy questions Use when: Preparing for PM job interviews, practicing case studies, or refining interview responses

Data & Documents 69 stars 8 forks Updated 2 days ago MIT

Install

View on GitHub

Quality Score: 85/100

Stars 20%
61
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
78
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

## Preamble (run first) 无需启动时命令。 --- ## 写入时边界 只讨论时不写文件,启动检查不创建目录。用户要求保存产物时,先确认当前产品、精确输出路径及已有文件的覆盖/追加选择;确认后**仅在实际 Write 前**创建该输出文件的父目录。完整安装可参见 `skills/_shared/artifact-policy.md`,单独安装本 skill 也按本段执行。 --- ## Overview Covers the 4 main PM interview categories: 1. **Product Sense** — Design a product, improve a feature, identify opportunities 2. **Execution** — Prioritization, trade-offs, stakeholder management 3. **Behavioral** — Leadership, conflict, failure, influence 4. **Strategy** — Market sizing, growth strategy, competitive analysis --- ## Execution Flow ### Step 1: Identify Target Use AskUserQuestion: > What type of PM role are you interviewing for? > > A) Generalist PM > B) Technical PM > C) Growth PM > D) AI/ML PM > E) Senior/Director PM > F) Other (please describe) ### Step 2: Choose Focus Area Use AskUserQuestion: > Which area would you like to practice first? > > A) Product Sense — Design a product or feature > B) Execution — Prioritization and trade-offs > C) Behavioral — Leadership and conflict stories > D) Strategy — Market sizing and growth > E) Full mock interview — All areas combined ### Step 3: Practice & Feedback For each practice area, present a realistic question, evaluate the user's answer, and provide structured feedback using the STAR framework and scoring rubric. ### Step 4: Track Progress Optionally save interview prep notes to `docs/06-职业发展/面试准备笔记.md`. ### Step 5: Recommended Next Steps 1. /pm-career-coach — Career planning 2. /pm...

Details

Author
konglong87
Repository
konglong87/superPM
Created
6 months ago
Last Updated
2 days ago
Language
JavaScript
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category