What problem does it solve? Interviewers and candidates preparing for React frontend roles often rely on shallow trivia questions that fail to reveal real engineering depth. This Skill provides a structured question bank and evaluation rubric for React-specific interviews, distinguishing candidates who truly understand the rendering model from those who only memorized documentation. ## Core Features & Use Cases - Topic ladders with difficulty progression: Covers rendering and reconciliation, Hooks mental models and closure traps, state layering, server data fetching and caching, performance profiling, Concurrent features and Suspense, Next.js/SSR, component design, forms, testing, and error handling. - Good vs. bad question patterns: Each topic includes signal-based evaluation criteria (danger signals vs. expected signals) so interviewers can score answers consistently. - Resume-driven follow-up hooks: Maps resume keywords like Redux, TanStack Query, Next.js, or component libraries to targeted probing questions about real project experience. - Use Case: When a candidate's resume mentions React performance optimization, load this Skill to generate a scenario question about diagnosing a re-rendering list with the Profiler, then evaluate the answer against the expected-signal rubric. ## Quick Start Load this Skill when the job description or resume mentions React or Next.js, then ask it to generate a mid-level interview question on Hooks closure traps with evaluation criteria.
