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neuroskill-bci

Integrate real-time EEG, PPG, and IMU data from BCI wearables into AI responses.

1|Updated Jun 25, 2026
Search Tags:#biometrics#bci#eeg#focus-tracking#neuroskill#cognitive-state#neurofeedback
One-click install
npx skills add https://github.com/Signmanal/VIGIL --skill neuroskill-bci-signmanal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/Signmanal/VIGIL/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/Signmanal/VIGIL --skill neuroskill-bci-signmanal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the gap between real-time brain and body biometrics and AI assistance, giving you access to your cognitive, emotional, and physiological state during work, study, or rest to enable more personalized, context-aware support.

Core Features & Use Cases

  • Real-Time Biometric Monitoring: Pull live focus, relaxation, mood, cognitive load, heart rate, sleep staging, and 40+ EXG scores from compatible BCI wearables (Muse 2/S, OpenBCI) connected to a local NeuroSkill instance.
  • Historical Performance Analysis: Search for past neurally similar focus sessions, compare cognitive performance across days, and track sleep architecture over time to identify patterns in your mental performance.
  • Guided Biometric Interventions: Get evidence-based protocol suggestions (breathing exercises, neurofeedback, rest breaks) triggered by specific metric thresholds, like high stress or declining focus, to optimize your cognitive state.
  • Use Case: A security analyst conducting lengthy alert triage sessions can track their focus levels over time, compare performance across shifts to identify peak productivity windows, and receive guided breathing exercises when stress metrics rise during high-pressure investigations.

Quick Start

Use the neuroskill-bci skill to check your current cognitive and biometric state and get personalized performance insights if you have a connected BCI wearable and running NeuroSkill desktop app.

Frequently Asked Questions about neuroskill-bci

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

FAQPage Schema
How do I track focus and cognitive load using EEG biometrics in AI workflows?▼

EEG biometrics tracking in AI workflows is done by streaming live cognitive and physiological data from BCI wearables through a local runtime to generate real-time cognitive load and focus metrics. This enables AI assistants to provide context-aware performance insights.

What BCI devices are compatible with real-time neurofeedback and focus tracking?▼

Real-time neurofeedback and focus tracking are compatible with Muse 2/S and OpenBCI devices. These BCI wearables must connect to a local NeuroSkill desktop app runtime running Node.js 20+ to stream and process EEG, PPG, and IMU signals.

How do I get guided breathing exercises when stress metrics rise during tasks?▼

Guided breathing exercises are triggered automatically when stress metrics rise by applying evidence-based protocol suggestions to specific biometric thresholds. The Skill monitors real-time physiological data and recommends interventions like rest breaks or neurofeedback.

Can I compare past EEG focus sessions to identify peak productivity windows?▼

Comparing past EEG focus sessions to identify peak productivity windows is supported through historical performance analysis. You can search for neurally similar focus sessions, compare cognitive performance across days, and track sleep architecture over time.

Do I need a local desktop app to process EEG and PPG signals for cognitive state monitoring?▼

A local desktop app is required to process EEG and PPG signals for cognitive state monitoring. You must run the NeuroSkill desktop app runtime with Node.js 20+ to stream signals from compatible BCI devices and calculate 40+ derived physiological metrics.

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

Limitations of using BCI wearables for cognitive load tracking include the strict hardware and software prerequisites. You must maintain a connected Muse 2/S or OpenBCI device, an active local desktop runtime, and Node.js 20+ to stream signals and generate accurate biometric data.

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