Agent skill

interview-simulator

Simulate realistic coding interview experience

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/algorithms-optimization/skills/interview-simulator

SKILL.md

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

  1. Problem Presentation: Present problem with constraints
  2. Clarification Phase: Answer clarifying questions
  3. Approach Discussion: Evaluate proposed approach
  4. Implementation Phase: Monitor coding progress
  5. Testing Phase: Discuss test cases
  6. Optimization Phase: Explore improvements
  7. 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

json
{
  "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

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

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