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By PrepLabsAI
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A VP of Product interviewer that simulates a product strategy interview focused on AI-native products. | PrepLabsAI/ | 112 | — | ~4.5k | Automated safety check: Pass | MIT | yesterday |
| 2 | A Staff Engineer interviewer specializing in API architecture and developer experience. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 3 | An entry-level software engineering interviewer specializing in fundamental data structures. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 4 | An entry-level software engineering interviewer specializing in binary tree data structures. | PrepLabsAI/ | 112 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 5 | An on-call SRE interviewer who just got paged about a broken checkout API. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 6 | A Senior Performance Engineer interviewer focused on caching strategies. | PrepLabsAI/ | 112 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 7 | An incident commander interviewer running a P0 outage war room. | PrepLabsAI/ | 112 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 8 | A Platform Engineer interviewer focused on CI/CD pipeline design. | PrepLabsAI/ | 112 | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 9 | A Staff Engineer interviewer that simulates a behavioral interview focused on conflict, disagreement, and cross-functional collaboration. | PrepLabsAI/ | 112 | — | ~4.5k | Automated safety check: Pass | MIT | yesterday |
| 10 | A data engineer interviewer dealing with a revenue discrepancy before a board meeting. | PrepLabsAI/ | 112 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 11 | A Principal Database Engineer interviewer. An agent skill from PrepLabsAI/InterviewMentor. | PrepLabsAI/ | 112 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 12 | A Research Scientist interviewer that simulates a FAANG-style deep learning theory and practice interview. | PrepLabsAI/ | 112 | — | ~4.5k | Automated safety check: Pass | MIT | yesterday |
| 13 | A release engineer interviewer managing a failed deployment with spiking error rates. | PrepLabsAI/ | 112 | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 14 | A highly theoretical Distinguished Engineer interviewer. An agent skill from PrepLabsAI/InterviewMentor. | PrepLabsAI/ | 112 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 15 | A mid-to-senior level software engineering interviewer specializing in dynamic programming. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 16 | A mid-level software engineering interviewer specializing in graph algorithms. | PrepLabsAI/ | 112 | — | ~3.5k | Automated safety check: Pass | MIT | yesterday |
| 17 | A mid-level software engineering interviewer specializing in heaps and priority queues. | PrepLabsAI/ | 112 | — | ~3.5k | Automated safety check: Pass | MIT | yesterday |
| 18 | A Senior DevOps engineer interviewer focused on Kubernetes fundamentals. | PrepLabsAI/ | 112 | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 19 | A Senior Engineering Manager interviewer that simulates a behavioral interview focused on leadership principles. | PrepLabsAI/ | 112 | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 20 | An entry-level software engineering interviewer specializing in linked list fundamentals. | PrepLabsAI/ | 112 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 21 | A performance engineer interviewer who profiles production systems for memory leaks. | PrepLabsAI/ | 112 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 22 | A Lead Data Engineer interviewer evaluating asynchronous messaging. | PrepLabsAI/ | 112 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 23 | A Platform Architect interviewer testing your ability to decouple monoliths into microservices. | PrepLabsAI/ | 112 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 24 | A Principal ML Engineer interviewer that simulates a FAANG-style ML system design interview covering the full lifecycle from data to production. | PrepLabsAI/ | 112 | — | ~4.2k | Automated safety check: Pass | MIT | yesterday |
| 25 | An on-call veteran SRE interviewer focused on monitoring and alerting. | PrepLabsAI/ | 112 | — | ~3.9k | Automated safety check: Pass | MIT | yesterday |
| 26 | A battle-scarred MySQL DBA interviewer who has tuned InnoDB at scale. | PrepLabsAI/ | 112 | — | ~3.5k | Automated safety check: Pass | MIT | yesterday |
| 27 | A Network Infrastructure Engineer interviewer. An agent skill from PrepLabsAI/InterviewMentor. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 28 | A meta-skill interviewer that tests your problem-solving PROCESS, not your answer recall. | PrepLabsAI/ | 112 | — | ~3.7k | Automated safety check: Pass | MIT | yesterday |
| 29 | A Senior AI Engineer interviewer that simulates a technical interview focused on prompt engineering and LLM architecture at scale. | PrepLabsAI/ | 112 | — | ~5k | Automated safety check: Pass | MIT | yesterday |
| 30 | A Staff Infrastructure Engineer interviewer. An agent skill from PrepLabsAI/InterviewMentor. | PrepLabsAI/ | 112 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 31 | An entry-level software engineering interviewer specializing in recursion and backtracking fundamentals. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 32 | A Principal SRE interviewer focused on fault tolerance and monitoring. | PrepLabsAI/ | 112 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 33 | A Search Infrastructure Engineer interviewer that simulates a FAANG-style system design interview for a Web-Scale Search Engine. | PrepLabsAI/ | 112 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 34 | A seasoned DBA interviewer who has diagnosed every slow query pattern in production. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 35 | A Data Engineering interviewer focused on database performance. | PrepLabsAI/ | 112 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 36 | An entry-level software engineering interviewer specializing in stacks, queues, and monotonic patterns. | PrepLabsAI/ | 112 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 37 | A Principal Engineer interviewer that simulates a FAANG-style system design interview for Twitter / a Social Media Feed. | PrepLabsAI/ | 112 | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 38 | A Principal Engineer interviewer that simulates a FAANG-style system design interview for a Ride-Sharing app (like Uber or Lyft). | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 39 | A Senior Engineer interviewer providing the classic URL Shortener system design scenario. | PrepLabsAI/ | 112 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 40 | A Senior Engineering Coach interviewer that simulates a behavioral interview focused on failure ownership, detection, and concrete behavioral change. | PrepLabsAI/ | 112 | — | ~5.3k | Automated safety check: Pass | MIT | yesterday |
| 41 | An Engineering Manager interviewer that simulates a behavioral interview focused on ownership beyond assigned scope, impact measurement, and follow-through. | PrepLabsAI/ | 112 | — | ~6k | Automated safety check: Pass | MIT | yesterday |
| 42 | A Data Engineering Pipeline Architect interviewer focused on end-to-end data pipeline design. | PrepLabsAI/ | 112 | — | ~5.7k | Automated safety check: Pass | MIT | yesterday |
| 43 | A Head of AI Ethics interviewer that simulates an interview focused on responsible AI, AI safety, and trust & safety practices. | PrepLabsAI/ | 112 | — | ~5.4k | Automated safety check: Pass | MIT | yesterday |
| 44 | A Data Warehouse and Lakehouse Schema Design Expert interviewer focused on dimensional modeling, star/snowflake schemas, analytics optimization, and modern lakehouse architectures. | PrepLabsAI/ | 112 | — | ~8.2k | Automated safety check: Pass | MIT | yesterday |
