A CLI tool for generating interview questions by difficulty level and quantity, with support for multiple output formats including text, JSON, and arrays.
Retro ansi terminal for front-end interview questions
awesome-interview-questions
reactjs-interview-questions
Recruitment Ai automation via MCP. Includes generate job description, score cv, generate interview questions. By MEOK AI Labs.
A collection of command line tools for snarky answers to generic interview questions
A simple command line game to help interviewer prep for some core javascript interview questions
Generates code templates for technical interview questions from json file
A set of JavaScript interview questions
Interview questions cli
responsible driver program interview questions __full__
Lint files staged by git
Generates behavioral and technical interview questions for specific roles
Stupid Interview Questions
An interactive NodeJS CLI for exercising question from https://github.com/sudheerj/javascript-interview-questions repository
AI Resume Helper - Angular library for resume optimization, interview questions, and job matching
Allows for snarky answers to generic interview questions
An interactive NodeJS CLI for exercising question from https://github.com/sudheerj/javascript-interview-questions repository
Scaffold a personal AI-powered interview prep cockpit
A collection of interview question answers written in JavaScript
this package contains JavaScript interview questions
Interactive interview form extension for pi coding agent
MCP Server for Mianshiya interview questions and question banks - supporting search, browse and detailed information retrieval
split {japanese, english} text into sentences.
Google mars rovers interview question solution
docforge reads a feature folder containing a PRD and a SPEC, calls the Anthropic API with a saved feature-brief writer prompt, and emits a styled .docx ready to share with non-technical readers (clients, portfolios, internal stakeholders). Configurable per-project via .docforge.yml: input filenames, system prompt, interview questions, output directory, and model.
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