neuroskill-bci

Stream NeuroSkill brain and physiological metrics into Hermes responses via local WebSocket/HTTP API.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/matthew-johnson/hermes-agent --skill neuroskill-bci-matthew-johnson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/matthew-johnson/hermes-agent/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/matthew-johnson/hermes-agent --skill neuroskill-bci-matthew-johnson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Hermes users can benefit from real-time brain and biometrics-informed interactions that adapt to focus, relaxation, and cognitive load, enabling more personalized, context-aware conversations.

Core Features & Use Cases

  • Real-time state integration: streams focus, relaxation, mood, and EXG metrics to tailor responses.
  • Adaptive guidance: deliver interventions or prompts aligned with neural and autonomic states.
  • Performance tracking: log embeddings and labels for cross-session analysis and reporting.

Quick Start

Connect Hermes to a running NeuroSkill instance to begin streaming live brain and body metrics and incorporate them into responses.

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 brain-computer interface data into conversational AI responses?

Real-time EEG brain-computer interface data integrates into conversational AI responses by streaming focus, relaxation, and cognitive load metrics from a local WebSocket API into the activation context. This enables adaptive guidance and cognitively-aware interactions during live sessions.

What is needed to stream physiological biometrics for adaptive guidance?

Streaming physiological biometrics for adaptive guidance requires a compatible brain-computer interface and a locally running desktop app. The app serves the data via a local WebSocket or HTTP API to feed real-time cognitive state scores into the system.

Can I track cognitive state performance across multiple sessions using EXG metrics?

Tracking cognitive state performance across multiple sessions is supported by logging EXG metrics, embeddings, and labels. This allows for cross-session analysis and reporting of focus, relaxation, and mood data over time.

Does this real-time biometrics integration require external cloud dependencies?

This real-time biometrics integration does not require external cloud dependencies. It consumes the WebSocket and HTTP API from a local server running on default port 8375, keeping all physiological and neural data processing on-premise.

How do neural and autonomic states tailor AI interactions?

Neural and autonomic states tailor AI interactions by streaming real-time EXG and mood scores into the response context. This allows the system to deliver interventions or prompts aligned with the user's current focus and cognitive load.