neuroskill-bci

Connect to NeuroSkill and retrieve real-time cognitive and emotional metrics from BCI wearables.

Updated May 9, 2026
One-click install
npx skills add https://github.com/robertbr123/Linket-Agent --skill neuroskill-bci-robertbr123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/robertbr123/Linket-Agent/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/robertbr123/Linket-Agent --skill neuroskill-bci-robertbr123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires 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 metrics from a BCI wearable into AI responses, enhancing the interaction with the user.

Core Features & Use Cases

  • Real-time Metrics Integration: Incorporate focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores.
  • BCI Wearable Compatibility: Requires Muse 2/S or OpenBCI hardware and the NeuroSkill desktop app.
  • Use Case: For an AI agent like Linket, this Skill can provide cognitive-aware responses, suggest interventions, and track mental performance during interactions.

Quick Start

Use the neuroskill-bci skill to check your current cognitive 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 and biometric data into AI agent responses?

Integrating BCI metrics into AI responses requires connecting a NeuroSkill instance to compatible hardware like Muse 2/S or OpenBCI. The system captures focus, relaxation, mood, and heart rate metrics, allowing your AI agent to provide cognitive-aware suggestions.

What real-time cognitive and emotional state metrics can I track from a BCI wearable?

You can track focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores. These cognitive and emotional state metrics provide comprehensive mental performance tracking during AI interactions.

Do I need specific BCI hardware and desktop software to monitor cognitive load?

Yes, monitoring cognitive load requires compatible BCI hardware like Muse 2/S or OpenBCI and the NeuroSkill desktop app. These dependencies establish the connection to capture and stream real-time EXG scores to your AI agent.

Can I use Muse 2 or OpenBCI hardware to make my AI agent cognitive-aware?

Yes, you can use Muse 2/S or OpenBCI hardware to make an AI agent cognitive-aware. By routing biometric data through the NeuroSkill desktop app, the agent receives real-time feedback on drowsiness and cognitive load to suggest interventions.

How does neurofeedback integration enhance AI interactions with users?

Neurofeedback integration enhances AI interactions by providing real-time awareness of the user's mental state. This allows the AI to track mental performance, adjust responses based on cognitive load, and suggest timely interventions.