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neuroskill-bci

Integrate BCI wearable EEG and PPG data into AI responses for real-time cognitive and emotional state monitoring.

4|Updated May 14, 2026
Search Tags:#focus#health#biometrics#EEG#neuroskill#cognitive-state#BCI#neurofeedback
One-click install
npx skills add https://github.com/liumeixin/hermes-skills --skill neuroskill-bci-liumeixin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/liumeixin/hermes-skills/tree/main/health/neuroskill-bci
Command: npx skills add https://github.com/liumeixin/hermes-skills --skill neuroskill-bci-liumeixin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires muse, openbci, neuroskill, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill connects BCI (Brain-Computer Interface) wearables with AI, providing real-time cognitive and emotional state metrics for informed interactions.

Core Features & Use Cases

  • Real-time Metrics: Access focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, and sleep staging.
  • BCI Integration: Works with Muse 2/S or OpenBCI devices.
  • Use Case: For a user in a focused state, the AI can suggest complex tasks or intense work. In a drowsy state, it can prompt for a break or relaxation protocol.

Quick Start

Use the neuroskill-bci skill to get live cognitive metrics from your BCI device.

Frequently Asked Questions about neuroskill-bci

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

FAQPage Schema
How do I integrate EEG and PPG signals from BCI wearables into AI responses?▼

To integrate EEG and PPG signals into AI responses, connect a Muse 2/S or OpenBCI device via the NeuroSkill desktop app and use the NeuroSkill API to stream real-time cognitive and emotional metrics for personalized interaction.

What cognitive and emotional metrics can I monitor in real-time from a Muse or OpenBCI device?▼

Real-time metrics from a Muse or OpenBCI device include focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, and sleep staging, enabling AI to adapt responses to the user's mental state.

Do I need specific BCI hardware to use neurofeedback for cognitive state monitoring?▼

Yes, cognitive state monitoring requires compatible BCI hardware such as Muse 2, Muse S, or OpenBCI devices, along with the NeuroSkill desktop app to process EEG and PPG signals via its API.

How does AI adapt interactions based on real-time cognitive load and focus data?▼

AI adapts interactions by reading cognitive load and focus data from the NeuroSkill API, suggesting complex tasks when focus is high and prompting breaks or relaxation protocols when drowsiness is detected.

Can I use OpenBCI and Muse devices interchangeably for biometric data collection?▼

Both Muse 2/S and OpenBCI devices are supported for biometric data collection through the NeuroSkill desktop app, allowing the API to process EEG and PPG signals for cognitive state monitoring.

What are the limitations of using BCI wearables for real-time mood and drowsiness detection?▼

Limitations include the requirement for continuous BCI hardware connectivity and the NeuroSkill desktop app, as real-time mood and drowsiness detection depends on uninterrupted EEG and PPG signal streaming.

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