interview-simulator

Solid

Simulate realistic coding interview experience

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 92/100

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Skill Content

# 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"...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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