What problem does it solve? Interviewers struggle to distinguish candidates who genuinely built their resume projects from those who only participated superficially or memorized talking points, and generic open-ended questions let candidates recite rehearsed answers without revealing real depth. ## Core Features & Use Cases - Layered Follow-up Chains: Provides multi-level probing ladders across twelve themes including contribution boundaries, technology selection rationale, metric sourcing, failure retrospectives, and scale-up pressure hypotheses. - Authenticity Verification: Supplies cross-validation techniques that re-ask the same facts from different angles and check whether numbers like QPS, latency percentiles, and data volumes stay consistent. - Resume-Triggered Hooks: Maps resume keywords such as "led", "improved by X%", "high concurrency", or "open source contribution" to specific interrogation angles. - Use Case: An interviewer preparing for a campus recruiting session loads this Skill to turn a candidate's "optimized API latency by 60%" claim into a chain of questions about measurement baselines, p50 versus p99 definitions, and load testing methodology. ## Quick Start Generate a deep-dive question chain for a candidate whose resume claims they led a high-concurrency order module with a 40% performance improvement.
