What problem does it solve? Interviewers and hiring teams often struggle to design frontend interview questions that go beyond trivia and actually test a candidate's ability to diagnose real problems like white screens, jank, memory leaks, and caching failures. This Skill provides a structured question bank and evaluation rubric for framework-agnostic frontend interviews. ## Core Features & Use Cases - Topic Ladders: Covers 13 domains including browser rendering pipelines, event loops, closures, TypeScript type systems, build tooling, HTTP caching, web security, performance monitoring, accessibility, CSS layout, and WebView compatibility, each with progressive difficulty steps. - Good vs Bad Question Patterns: Contrasts weak trivia questions with scenario-based questions that start from user-perceivable symptoms and demand measurement evidence. - Resume Hook Probing: Maps common resume claims (e.g., "first-screen optimization X%", "bundle size reduction") to follow-up questions that verify real depth. - Use Case: When a candidate applies for a frontend, web, or H5 role, load this Skill to generate layered interview questions, then delegate React or Vue specifics to the corresponding stack skill. ## Quick Start Ask the AI to generate frontend interview questions for a mid-level candidate whose resume mentions first-screen performance optimization and TypeScript migration.