neuroskill-bci

Integrate NeuroSkill live metrics into Hermes responses via local WebSocket/HTTP API.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/dawsonblock/HERMY --skill neuroskill-bci-dawsonblock
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/dawsonblock/HERMY/tree/main/hermes-agent-2026.4.23/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/dawsonblock/HERMY --skill neuroskill-bci-dawsonblock

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Connect Hermes to NeuroSkill live metrics to tailor responses based on the user's cognitive state and biometrics.

Core Features & Use Cases

  • Real-time cognitive-state awareness: read focus, relaxation, mood, cognitive load, drowsiness, HRV, sleep staging, and 40+ EXG scores.
  • Context-aware responses: adapt tone, suggestions, and interventions during conversations.
  • Use Case: Researchers or developers can prototype cognitively-aware assistants that respond differently under fatigue or distraction.

Quick Start

Launch NeuroSkill and Hermes locally and enable the BCI integration to begin receiving live metrics.

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 biometric data into conversational AI responses?

Connecting cognitive load metrics to an assistant requires consuming live 5-second epoch embeddings from a BCI desktop application via a local WebSocket or HTTP API, then applying those metrics to dynamically adapt conversational interventions and guidance.

How do I set up a cognitively-aware assistant using brain-computer interface data?

To use real-time brain data integration, you need the NeuroSkill desktop application running locally to stream 5-second epoch embeddings via a local WebSocket or HTTP API, enabling Hermes to process biometric and cognitive state scores.

What specific real-time metrics are available for cognitive state awareness?

Available real-time metrics include focus, relaxation, mood, cognitive load, drowsiness, HRV, sleep staging, and over 40 EXG scores. These biometric indicators allow conversational assistants to detect fatigue or distraction and respond appropriately.

Can I use this BCI integration for dynamic interventions during fatigue or distraction?

Yes, you can use real-time cognitive state awareness for dynamic interventions. The system detects fatigue or distraction by processing live focus and cognitive load metrics, allowing the assistant to adapt its tone and suggestions during the conversation.

What are the limitations of using 5-second epoch embeddings for cognitive state detection?

A limitation of using 5-second epoch embeddings is the dependency on a continuous local WebSocket or HTTP connection to the NeuroSkill desktop app. If the local stream drops, real-time cognitive state awareness and dynamic response tailoring will be interrupted.