The Interview Problem Bank skill is a comprehensive resource designed to help developers master technical interviews through structured, pattern-based practice. It provides access to curated problem sets like the Blind 75 and NeetCode 150, categorized by algorithmic patterns, difficulty levels, and specific FAANG company requirements. By tracking progress and identifying technical weak areas, the skill offers personalized study plans and problem recommendations, ensuring efficient, data-driven preparation for high-stakes coding assessments.
主要功能
01Pattern-based categorization for algorithm mastery
021,203 GitHub stars
03Company-specific problem sets for FAANG preparation
04Progress tracking and automated weak area identification
05Curated lists including Blind 75 and NeetCode 150
06Customizable study plan generation (1-week to 3-month timelines)
使用场景
01Preparing for a specific interview at a company like Google, Meta, or Amazon
02Tracking long-term study progress and identifying knowledge gaps before an interview
03Systematically mastering algorithmic patterns like Dynamic Programming or Graphs