interviewer

Facilitate structured mock interviews with adaptive questions and performance feedback.

1|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/chrisliu298/dotfiles --skill interviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interviewer
Source: https://github.com/chrisliu298/dotfiles/tree/main/agents/extensions/skills/interviewer
Command: npx skills add https://github.com/chrisliu298/dotfiles --skill interviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interviewer turns an AI agent into a structured mock interviewer, delivering adaptive questions, scoring, and session history to boost interview readiness.

Core Features & Use Cases

  • Adaptive questioning across topics (ML, algorithms, data structures) with configurable formats (standalone, multi-part, progressive)
  • Real-time scoring on accuracy, completeness, and clarity, plus session history and summaries for progress tracking
  • Easy start and configuration via a simple invocation workflow that remembers past sessions and bookmarks questions for review

Quick Start

Start a session by telling the interviewer your topics and difficulty, then respond to the questions as they appear.

Frequently Asked Questions about interviewer

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

FAQPage Schema
How do I practice mock interviews for machine learning and algorithm topics?

You can practice mock interviews by starting a session, specifying your topics like ML or algorithms, and responding to adaptive questions. The interviewer adjusts difficulty based on your performance and provides real-time scoring.

Can I track my progress across multiple mock interview sessions?

Yes, session history tracking records your progress across multiple topics and formats. It remembers past sessions and provides summaries with scoring on accuracy, completeness, and clarity to help you monitor improvement over time.

What question formats are supported for topic-based mock interview practice?

The mock interviewer supports standalone, multi-part, and progressive question formats. This allows you to configure the session structure to match different interview styles for topics like data structures and algorithms.

How does adaptive difficulty work during a mock interview session?

Adaptive difficulty automatically adjusts the complexity of subsequent questions based on your responses. This ensures the mock interview remains appropriately challenging by scaling to your performance throughout the session.

How is my performance evaluated during an AI-driven mock interview?

Your performance is evaluated using real-time scoring on accuracy, completeness, and clarity. The interviewer provides this feedback alongside session summaries to highlight areas needing review.

Do I need any specific setup to start a structured mock interview session?

No specific setup is required to start a structured mock interview. You simply tell the interviewer your desired topics and difficulty level, then answer the questions as they appear to begin the practice session.