What problem does it solve? It connects an AI assistant to a running NeuroSkill desktop app so responses can account for the user's live cognitive and emotional state — focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, and sleep staging — instead of guessing how the user is feeling. ## Core Features & Use Cases - Live State Monitoring: Query 40+ EXG-derived scores via npx neuroskill status --json and interpret them with threshold-based guidance (flow state, fatigue, stress). - Session History & Comparison: Analyze single sessions with first/second-half trends, run A/B comparisons across days, and search neurally similar moments using ZUNA embeddings and ANN search. - Sleep Analysis: Retrieve epoch-by-epoch sleep staging (Wake/N1/N2/N3/REM) with efficiency and latency metrics compared against healthy targets. - Guided Interventions: Suggest from 70+ metric-triggered protocols (box breathing, cardiac coherence, mind dumps, power naps) when thresholds indicate a need. - Use Case: A user says "I can't concentrate." The assistant checks live metrics, confirms elevated TBR and low focus, then offers 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 using NeuroSkill and interpret your focus, relaxation, and mood metrics.
