Interview simulator

Skill a5c-ai/babysitter/library/specializations/algorithms-optimization/skills/interview-simulator

Simulate realistic coding interview experienceFrom its SKILL.md

Install

npx -y skills add a5c-ai/babysitter --skill interview-simulator

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SKILL.md

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Interview Simulator Skill

Purpose

Simulate a realistic coding interview experience with time constraints, hints, follow-ups, and evaluation.

Capabilities

Time-boxed problem presentation
Hint system with escalation
Follow-up question generation
Communication evaluation prompts
Realistic interviewer responses
Performance tracking

Target Processes

mock-coding-interview
behavioral-interview-prep
faang-interview-prep

Interview Simulation Flow

Problem Presentation: Present problem with constraints
Clarification Phase: Answer clarifying questions
Approach Discussion: Evaluate proposed approach
Implementation Phase: Monitor coding progress
Testing Phase: Discuss test cases
Optimization Phase: Explore improvements
Follow-up Questions: Present variations

Hint Escalation System

Level 1: Direction hint (no algorithm reveal)
Level 2: Approach hint (mention technique)
Level 3: Algorithm hint (name the approach)
Level 4: Implementation hint (key insight)

Input Schema

{
  "type": "object",
  "properties": {
    "problemId": { "type": "string" },
    "difficulty": { "type": "string", "enum": ["easy", "medium", "hard"] },
    "timeLimit": { "type": "integer", "default": 45 },
    "includeFollowups": { "type": "boolean", "default": true },
    "companyStyle": { "type": "string" }
  },
  "required": ["difficulty"]
}

Output Schema

{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "problem": { "type": "object" },
    "hints": { "type": "array" },
    "followups": { "type": "array" },
    "evaluation": { "type": "object" }
  },
  "required": ["success"]
}

What ships with it: 1 file

670 B alongside SKILL.md

README.md670 B