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CoalSeensei
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interview-prep

Simulates a technical interview for the Modular RAG MCP Server project and generates a report with reference answers, feedback, and ratings.

Updated May 13, 2026
Search Tags:#interview prep#project knowledge#AI feedback#resume review#technical interview
One-click install
npx skills add https://github.com/CoalSeensei/RagDev --skill interview-prep-coalseensei
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: interview-prep
Source: https://github.com/CoalSeensei/RagDev/tree/main/.github/skills/interview-prep
Command: npx skills add https://github.com/CoalSeensei/RagDev --skill interview-prep-coalseensei

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill requires markdown, yaml, json, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simulates technical interviews, providing expert guidance and personalized feedback to help users prepare and excel in their interviews.

Core Features & Use Cases

  • Personalized Interview Practice: Offers three rounds of depth questioning tailored to the user's resume or project knowledge.
  • Expert Feedback: Generates and persists an interview report with reference answers, packaged feedback, and ratings.
  • Use Case: Imagine you are preparing for a technical interview for a project similar to Modular RAG MCP Server. Use this Skill to simulate the interview and receive expert feedback on your responses.

Quick Start

Use the interview-prep skill to start a mock interview about the Modular RAG MCP Server project.

Frequently Asked Questions about interview-prep

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

FAQPage Schema
How do I practice a technical interview for a software engineering project?โ–ผ

Practice a technical interview by simulating depth questioning rounds tailored to your project knowledge and resume. This generates a report with reference answers, packaged feedback, and ratings to help you evaluate your readiness.

Can I get AI feedback on my technical interview responses?โ–ผ

Yes, AI feedback is generated automatically after you respond to depth questions. The system persists an interview report containing reference answers, specific feedback on your replies, and performance ratings.

What do I need to simulate an interview about the Modular RAG MCP Server?โ–ผ

Simulating an interview about the Modular RAG MCP Server requires access to the project's documentation and knowledge base. The simulation uses these resources to formulate depth questions and evaluate your responses.

How does a mock technical interview generate performance ratings?โ–ผ

A mock technical interview generates ratings by comparing your depth responses against reference answers derived from project documentation. The resulting report packages this feedback with scores to gauge your interview readiness.

Does the interview simulation support markdown and JSON formats?โ–ผ

Yes, the interview simulation supports markdown, JSON, and YAML formats for processing. These formats are utilized to structure the depth questions, project documentation inputs, and the generated interview report outputs.

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