What problem does it solve? It connects an AI agent to a running NeuroSkill desktop instance so responses can incorporate the user's live cognitive and emotional state—focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, and sleep staging—captured from a BCI wearable. ## Core Features & Use Cases - Live State Monitoring: Query 40+ derived EXG scores via npx neuroskill status --json and translate metrics into natural-language insights with interpretation thresholds. - Session & Sleep Analysis: Break down individual sessions with first/second-half trends, compare sessions A/B across ~50 metrics, and review epoch-by-epoch 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 flow states or stress moments. - Guided Protocols: Suggest evidence-based interventions (box breathing, cardiac coherence, mind dumps) triggered by specific biometric signals, while protecting flow state from interruption. - Use Case: A user says "I can't concentrate." The agent checks live metrics, confirms elevated theta and TBR > 1.5, then offers a 90-second Theta-Beta Neurofeedback Anchor and labels the moment for later tracking. ## Quick Start Ask the agent to check your current cognitive state by running npx neuroskill status --json and interpreting the focus, relaxation, and mood scores in plain language.