moai-core-expertise-detection

Expertise detection analyzes behavioral signals like questions, prompts, and usage patterns to classify users as beginner, intermediate, advanced, or expert. It then dynamically adjusts response complexity, verbosity, examples, and communication style to match their skill level during interactions.

Yes. Expertise detection tailors onboarding depth and code review guidance by continuously analyzing user interactions. It adapts tutorial complexity, confirmation levels, and feedback style per session without manual reconfiguration.

The Skill analyzes questions asked, prompts submitted, and interaction patterns to infer expertise. It recognizes domain vocabulary, problem-solving approach, and engagement depth to assign and update user classifications in real time.

It integrates via Context7 support and auto-loading to enable continuous behavioral analysis and adaptive response calibration. Pattern recognition adjusts guidance complexity and style dynamically across enterprise onboarding, support, and review processes.

The Skill has no listed dependencies or components. Integration requires Context7 compatibility and behavioral data collection from user interactions; it auto-loads and begins pattern recognition immediately upon deployment.

Expertise detection continuously re-evaluates behavioral signals and updates classification in real time. Response complexity, examples, and guidance style adapt automatically without user intervention or session restart.