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neuroskill-bci

Interpret EEG, PPG, IMU, sleep, and session data from NeuroSkill wearables.

3|Updated Apr 4, 2026
Search Tags:#focus#biometrics#bci#eeg#sleep analysis#neuroskill#neurofeedback
One-click install
npx skills add https://github.com/twjarviszyra-web/hermes-unbound --skill neuroskill-bci-twjarviszyra-web
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/twjarviszyra-web/hermes-unbound/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/twjarviszyra-web/hermes-unbound --skill neuroskill-bci-twjarviszyra-web

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

NeuroSkill BCI turns live brain and body signals into practical guidance, so you do not have to interpret EEG ratios, sleep stages, heart rate, or session trends manually.

Core Features & Use Cases

  • Live state check-ins: Summarize focus, relaxation, engagement, mood, drowsiness, signal quality, and heart metrics in plain language.
  • Session and history analysis: Compare sessions, spot trends, search similar neural moments, and review sleep architecture.
  • Guided interventions: Recommend the right protocol when attention, stress, fatigue, or recovery metrics cross meaningful thresholds.
  • Use case: A user wearing a Muse headband can ask whether they are ready for deep work, get a clear read on their current state, and receive a break, breathing, or recovery suggestion if the data supports it.

Quick Start

Ask the assistant to check your current NeuroSkill state, explain the results in plain language, and recommend one suitable protocol only if your metrics indicate a need.

Frequently Asked Questions about neuroskill-bci

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interpret EEG and biometric data from a Muse headband during live sessions?▼

EEG and biometric data from a Muse headband is interpreted by integrating real-time NeuroSkill metrics into responses, translating EEG ratios, PPG heart rate, and IMU signals into plain language cognitive state summaries.

Can I analyze sleep architecture and focus trends using OpenBCI wearables?▼

Sleep architecture and focus trends can be analyzed using OpenBCI wearables by reviewing session history and comparing neural moments to spot trends in sleep stages, fatigue, and engagement metrics.

What hardware do I need to get real-time neurofeedback protocol recommendations?▼

Real-time neurofeedback protocol recommendations require a locally running NeuroSkill desktop app and a Muse 2, Muse S, or OpenBCI wearable, with valid JSON access through the CLI or local API.

How does BCI session comparison work for cognitive check-ins and fatigue detection?▼

BCI session comparison works by analyzing historical NeuroSkill data to detect focus, fatigue, and engagement levels, summarizing cognitive states and comparing sessions to identify meaningful neural trends.

When should I use guided interventions based on EEG and PPG metrics?▼

Guided interventions based on EEG and PPG metrics should be used when attention, stress, fatigue, or recovery metrics cross meaningful thresholds, triggering recommendations for breathing, break, or recovery protocols.

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