interview-simulator
Simulate realistic coding interview experience
npx skills add a5c-ai/babysitter --skill interview-simulator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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"
- Purpose
- Capabilities
- Target Processes
- Interview Simulation Flow
- Hint Escalation System
- Input Schema
- Output Schema
What does the interview-simulator skill do?
Simulate realistic coding interview experience
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill interview-simulator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.