interview-prep

Simulate technical interviews for coding, system design, and algorithm roles.

Updated May 20, 2026

Search Tags:#simulation #technical interview #interview preparation #project-based interview #AI-driven interview

Ready to run

npx skills add https://github.com/Aarong365/Enterprise-Knowledge-Hub --skill interview-prep-aarong365

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: interview-prep
Source: https://github.com/Aarong365/Enterprise-Knowledge-Hub/tree/main/.github/skills/interview-prep
Command: npx skills add https://github.com/Aarong365/Enterprise-Knowledge-Hub --skill interview-prep-aarong365

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires llm, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a realistic simulation of technical interviews, helping users prepare and improve their interview skills.

Core Features & Use Cases

Simulated Technical Interviews: Prepare for coding, system design, and algorithm interviews with realistic questions.
Customizable Interview Styles: Choose from different interview styles to simulate various interview scenarios.
Persistent Interview Reports: Generate detailed reports with questions, answers, and feedback after each interview.

Quick Start

Run the interview-prep skill to simulate a technical interview on Modular RAG MCP Server.

Frequently Asked Questions about interview-prep

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prepare for a project-based technical interview?▼

Prepare for a project-based technical interview by using an AI-driven simulation that assesses your implementation, architecture, and design choices. It generates interactive questions and responses focused on coding, system design, and algorithms.

Can I customize the interview style for technical interview preparation?▼

Yes, technical interview preparation allows you to choose from different customizable interview styles. This simulates various interview scenarios to help you practice coding, system design, and algorithm questions effectively.

How does an AI-driven interview simulation evaluate my system design answers?▼

An AI-driven interview simulation evaluates system design answers using LLM capabilities for interactive questioning and response generation. It assesses your architectural knowledge and design choices, then generates detailed feedback within a persistent report.

Do I get feedback after completing a simulated technical interview?▼

Yes, you receive feedback after completing a simulated technical interview. The process generates a persistent detailed report containing the interview questions, your answers, and specific feedback to improve your coding and system design skills.

Do I need an LLM to run a technical interview simulation?▼

Yes, you need an LLM to run a technical interview simulation. The interactive questioning, response generation, and assessment of your project's architecture and design choices require LLM capabilities to function effectively.