What problem does it solve? It connects an AI assistant to a running NeuroSkill desktop app so it can read the user's live cognitive and physiological state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging) from a BCI wearable and adapt responses, suggest interventions, and track mental performance over time. ## Core Features & Use Cases - Live State Monitoring: Query 40+ EXG-derived scores via the npx neuroskill CLI and interpret them in natural language with threshold-based guidance. - Session & Sleep Analysis: Break down individual sessions with first/second-half trends, compare sessions A/B, and analyze sleep staging against healthy targets. - Historical Search & Labeling: Run ANN similarity search over 128-D ZUNA embeddings, semantic label search, and cross-modal graph search to find past mental states. - Guided Protocols: Suggest evidence-based interventions (box breathing, cardiac coherence, mind dumps, power naps) matched to specific metric triggers. - Use Case: A user says "I can't concentrate" — the assistant checks live metrics, confirms elevated theta and TBR, then walks the user through a 90-second Theta-Beta Neurofeedback Anchor and labels the moment for later tracking. ## Quick Start Ask the assistant to check your current cognitive state by running npx neuroskill status and interpreting your focus, relaxation, and mood scores.