neuroskill-bci

Analyzing live EEG signals to understand focus and fatigue requires integrating NeuroSkill biometric state metrics into assistant responses. The Skill reads current focus, relaxation, mood, drowsiness, and heart rate data to explain cognitive and physiological states in plain language.

Yes, you can use a connected Muse or OpenBCI wearable to track sleep stages and session trends. The Skill summarizes sleep staging, compares past sessions, and identifies when performance or recovery patterns changed based on historical biometric data.

To parse NeuroSkill biometric data via WebSocket or HTTP, you need a local NeuroSkill desktop app, a connected Muse or OpenBCI wearable, Node.js 20+, and JSON-based CLI or WebSocket/HTTP access for reliable metric parsing.

Neurofeedback guided protocol suggestion works by checking the latest biometric state when concentration drops. The Skill identifies whether the pattern indicates fatigue or stress and recommends a relevant breathing, focus, recovery, or regulation protocol once metrics cross meaningful thresholds.

Yes, you can search historical brain states to find similar past cognitive patterns. The Skill performs historical similarity search, finds labeled moments, and connects current EEG states to past activities or breakthroughs using NeuroSkill session data.

Real-time BCI mood and readiness analysis works without prior labeled session data by reading live NeuroSkill metrics such as focus, relaxation, mood, drowsiness, and signal quality. However, historical search and similarity matching require previously recorded session data to compare against.