interview-prep

Generate tailored mock interviews and feedback for specific job roles.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/koya-alt/Catalyst --skill interview-prep-koya-alt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-prep
Source: https://github.com/koya-alt/Catalyst/tree/main/local/secondary_skills/interview-prep
Command: npx skills add https://github.com/koya-alt/Catalyst --skill interview-prep-koya-alt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps candidates prepare for interviews by turning scattered company intel and common questions into a structured, interactive practice experience that improves answers, timing, and negotiation outcomes.

Core Features & Use Cases

  • Company-specific research: Aggregates Glassdoor, Blind, levels.fyi, LeetCode Discuss and public engineering blogs to build an accurate question bank and compensation anchors.
  • Mock interviews (voice & text): Simulates one-question-at-a-time interviews with inline feedback on STAR structure, specificity, and measurable results, and supports low-latency voice simulations via a Realtime API.
  • Interview prep dashboard & story builder: Generates a React-based dashboard with a question bank, a 6-story STAR matrix, system-design and coding frameworks, and negotiation scripts for closing offers.
  • Use Case: Practice for an on-site at a FAANG company with behavior, system design, and coding rounds plus a salary negotiation script anchored to levels.fyi data.

Quick Start

Start a voice mock interview for Senior Backend Engineer at Stripe using voice mode and include company-specific questions from recent Glassdoor and LeetCode posts.

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 mock interview using company-specific questions from Glassdoor and LeetCode?

Mock interview preparation aggregates company-specific data from Glassdoor, LeetCode Discuss, and engineering blogs to build an accurate question bank for your target role. It then simulates one-question-at-a-time interviews with inline feedback on answer structure.

Can I practice real-time voice interview simulations for behavioral rounds?

Yes, real-time voice interview simulations are supported using the OpenAI Realtime API for low-latency voice interactions. This allows you to practice behavioral questions verbally and receive immediate feedback on your responses.

What is the best way to structure behavioral interview answers using the STAR framework?

The STAR framework is applied by generating a 6-story matrix within an interactive dashboard, helping you map your experiences to behavioral questions. The mock interview simulations then provide inline feedback on your STAR structure, specificity, and measurable results.

How do I prepare a salary negotiation script anchored to levels.fyi data?

Salary negotiation preparation generates customized scripts by aggregating compensation anchors from levels.fyi and other public sources. These scripts are integrated into your interactive dashboard to help you navigate closing offers confidently.

Does this interview prep tool support system design and coding rounds for FAANG companies?

Yes, the tool supports system design and coding round preparation by generating frameworks within a React-based dashboard. It uses company-specific web search aggregation to tailor the practice experience for FAANG and other target employers.

Do I need a specific environment to run the interactive interview prep dashboard?

The interactive dashboard is generated as a React web app, requiring a compatible environment to run React applications. This dashboard integrates the question bank, STAR matrix, and negotiation scripts into a single practice interface.