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neuroskill-bci

Integrate real-time BCI data from Muse or OpenBCI to monitor cognitive and emotional states.

Updated Jul 13, 2026
Search Tags:#focus#health#biometrics#bci#eeg#cognitive-state#neurofeedback
One-click install
npx skills add https://github.com/zangjeicy/Hermes --skill neuroskill-bci-zangjeicy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/zangjeicy/Hermes/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/zangjeicy/Hermes --skill neuroskill-bci-zangjeicy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill addresses the lack of physiological context in AI interactions by bridging the gap between real-time brain-computer interface (BCI) data and the agent's decision-making process.

Core Features & Use Cases

  • Cognitive State Monitoring: Tracks focus, relaxation, cognitive load, and drowsiness in real-time to provide context-aware assistance.
  • Neural-Adaptive Interventions: Suggests evidence-based protocols (e.g., breathing exercises, focus anchors) when biometric thresholds indicate stress or fatigue.
  • Historical Neural Search: Enables semantic and neural similarity searches across past sessions to identify patterns in mental performance.
  • Use Case: A user struggling with deep work can receive a proactive suggestion for a Theta-Beta Neurofeedback Anchor when the system detects a decline in focus and an increase in theta-dominant brain activity.

Quick Start

Use the neuroskill bci command to perform a full system status check and report on current focus and relaxation levels.

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 into an AI agent workflow?▼

Real-time BCI metrics integrate into your workflow by streaming EEG, PPG, and IMU data from Muse or OpenBCI hardware via WebSocket or HTTP to provide cognitive and emotional state context for adaptive AI responses.

What does cognitive state monitoring with BCI hardware actually track?▼

Cognitive state monitoring tracks focus, relaxation, cognitive load, and drowsiness in real time by analyzing EEG, PPG, and IMU biometrics from BCI hardware to provide physiological context for AI interactions.

Do I need a local instance to stream biometric data for neurofeedback?▼

Yes, you need a local NeuroSkill instance running to stream biometric data via WebSocket or HTTP, which then bridges the physiological context to the agent's decision-making process.

Can I use OpenBCI or Muse hardware for adaptive AI interventions?▼

Yes, both OpenBCI and Muse hardware are supported to feed real-time EEG data into the system, enabling neural-adaptive interventions like suggesting breathing exercises when biometric thresholds indicate fatigue or stress.

How do I find historical patterns in my mental performance and focus levels?▼

You can perform semantic and neural similarity searches across past BCI sessions to identify patterns in mental performance, utilizing historical neural data logged from previous focus and relaxation tracking.

What is the best way to trigger a neurofeedback anchor during deep work?▼

The system proactively suggests a Theta-Beta Neurofeedback Anchor when it detects a decline in focus and an increase in theta-dominant brain activity, requiring continuous real-time EEG streaming.

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