What problem does it solve? Interviewers and hiring teams often struggle to create deep, realistic Android interview questions that go beyond textbook definitions. This Skill provides a structured question bank and evaluation framework for Android engineering interviews, helping interviewers probe real understanding of system internals, coroutines, Compose, and performance troubleshooting. ## Core Features & Use Cases - Topic Ladders: Covers 12 Android domains including Activity/Fragment lifecycle, Handler/Looper, View rendering, Jetpack Compose, Kotlin coroutines, Flow, memory/OOM, ANR, startup optimization, Room, Binder, Gradle builds, and version adaptation, each with a progression from basics to production incidents. - Good vs Bad Question Patterns: Contrasts shallow recall questions with scenario-based questions grounded in real bugs, plus danger signals and expected signals for scoring candidate answers. - Resume-Based Probing: Maps resume claims (Compose migration, startup optimization, ANR rate reduction) to targeted follow-up questions. - Use Case: When a candidate's resume mentions Kotlin coroutines, load this Skill to generate a question about viewModelScope exception propagation, then evaluate the answer against the listed danger and expectation signals. ## Quick Start Load this Skill when the job posting or candidate resume mentions Android or Kotlin, then ask it to generate interview questions on a specific topic such as Compose recomposition or ANR troubleshooting.
