Agent skill
interview-simulator
Simulate realistic coding interview experience
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
- 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"]
}
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