neuroskill-bci

Read real-time cognitive and emotional state metrics from BCI wearables.

Updated May 11, 2026
One-click install
npx skills add https://github.com/richardnguyen0715/keep-it-real --skill neuroskill-bci-richardnguyen0715
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/richardnguyen0715/keep-it-real/tree/main/refer-projects/hermes-agent/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/richardnguyen0715/keep-it-real --skill neuroskill-bci-richardnguyen0715

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill integrates real-time cognitive and emotional state data from a BCI wearable into AI responses, enhancing the user's interaction with the AI system.

Core Features & Use Cases

  • Real-time Cognitive State: Incorporates focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ EXG scores.
  • BCI Integration: Requires BCI hardware like Muse 2/S or OpenBCI.
  • Use Case: A user asks, "How am I doing?" The AI can respond, "Your focus is solid at 0.70, and your relaxation is good at 0.55. You're in a positive approach motivation state."

Quick Start

Use the neuroskill-bci skill to get the current state of the user's cognitive and emotional state.

Frequently Asked Questions about neuroskill-bci

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

FAQPage Schema
How do I integrate real-time EEG data from a BCI wearable into AI responses?

Yes, this skill monitors mental health by tracking relaxation, mood, cognitive load, drowsiness, heart rate, HRV, and sleep staging. It reads these real-time biometric metrics from BCI wearables to assess the user's current cognitive state.

What hardware do I need to use neurofeedback for cognitive state assessment?

You need BCI hardware such as Muse 2/S or OpenBCI, along with the NeuroSkill desktop app running locally. The skill connects to this instance to process real-time EEG data streams and calculate over 40 EXG scores.

How does BCI integration work for AI personalization?

BCI integration works by connecting the AI to a NeuroSkill instance that processes real-time EEG data streams from wearables. The AI uses the extracted focus, relaxation, and mood metrics to generate personalized responses based on the user's current cognitive state.

Can I use Node.js to process real-time EEG data streams from OpenBCI?

Yes, this skill uses Node.js dependencies to handle real-time EEG data streams and API interactions from OpenBCI or Muse devices. It connects to the NeuroSkill app to process the raw biometric data into cognitive state scores.

What are the limitations of using BCI wearables for tracking focus and cognitive load?

The main limitation is the hardware and software requirement; you must have compatible BCI wearables like Muse 2/S or OpenBCI and the NeuroSkill desktop app actively running. The skill cannot process biometrics without this local environment.