interview-problem-bank
Curated bank of interview problems organized by company, pattern, and difficulty. Provides problem recommendations, coverage tracking, weak area identification, and premium problem alternatives for FAANG interview preparation.
npx skills add a5c-ai/babysitter --skill interview-problem-bank --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# interview-problem-bank A specialized skill for curating, organizing, and recommending coding interview problems, with support for company-specific preparation, pattern-based practice, and progress tracking. ## Purpose Provide a comprehensive interview problem bank with: - Problems organized by FAANG company and difficulty - Pattern-based categorization (Blind 75, NeetCode 150, etc.) - Difficulty progression recommendations - Coverage tracking and weak area identification - Premium problem alternatives ## Capabilities ### Core Features 1. **Problem Organization** - By company (Google, Meta, Amazon, Apple, Microsoft, etc.) - By pattern (Two Pointers, Sliding Window, DP, etc.) - By difficulty (Easy, Medium, Hard) - By topic (Arrays, Trees, Graphs, etc.) - By frequency (most asked in interviews) 2. **Curated Problem Lists** - Blind 75 (essential problems) - NeetCode 150 (expanded essential list) - LeetCode Top Interview Questions - Company-specific top questions - Pattern-specific problem sets 3. **Progress Tracking** - Problems solved by category - Weak area identification - Time spent per problem type - Success rate tracking - Spaced repetition for review 4. **Recommendations** - N
- Purpose
- Capabilities
- Core Features
- Problem Lists
- Blind 75
- NeetCode 150
- Company-Specific Lists
- Usage
- Get Recommended Problems
- Track Progress
- Generate Study Plan
- Output Schema
- Problem Entry
- Progress Report
Get next problem based on progress interview-problem-bank recommend --user progress.json Get problems for specific pattern interview-problem-bank list --pattern "dynamic-programming" --difficulty medium Get company-specific problems interview-problem-bank company --name google --count 50 Mark problem as solved interview-problem-bank solve --problem "two-sum" --time 15 --attempts 1 Get progress report interview-problem-bank progress --user progress.json
What does the interview-problem-bank skill do?
Curated bank of interview problems organized by company, pattern, and difficulty. Provides problem recommendations, coverage tracking, weak area identification, and premium problem alternatives for FAANG interview preparation.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill interview-problem-bank --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.