neuroskill-bci

Connect to a local NeuroSkill instance for real-time BCI cognitive and emotional state metrics.

19|4|Updated Apr 22, 2026

Search Tags:#cognitive load #bci #real-time metrics #websocket api #neurofeedback #sleep staging #physiological signals

Ready to run

npx skills add https://github.com/carterwayneskhizeine/hermes-agent-windows-R --skill neuroskill-bci-carterwayneskhizeine

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/carterwayneskhizeine/hermes-agent-windows-R/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/carterwayneskhizeine/hermes-agent-windows-R --skill neuroskill-bci-carterwayneskhizeine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you use live NeuroSkill metrics to make responses context-aware to your focus, relaxation, mood, cognitive load, drowsiness, and heart-related signals while you work.

Core Features & Use Cases

Live cognitive & physiological state awareness: Reads real-time scores like focus, relaxation, mood, cognitive load, drowsiness, HR, HRV coherence, and sleep staging from a running NeuroSkill instance.
History-based insights: Finds neurally similar past moments, compares sessions, and surfaces trends using NeuroSkill’s embeddings and stored labels.
Protocol suggestions tied to signals: Recommends targeted intervention protocols based on the most salient metric thresholds (and asks for permission before starting).
Labeling and tracking: Lets you annotate moments (e.g., breakthroughs, post-protocol states) so later searches and comparisons reference what happened.

Quick Start

Ask your AI assistant to connect by confirming NeuroSkill is running locally and requesting a live status interpretation from your current BCI session.

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 BCI metrics into AI responses?▼

Real-time BCI metrics integrate into AI responses by connecting to a running NeuroSkill local instance, which streams cognitive and physiological signals over a localhost WebSocket or HTTP API for context-aware interpretation.

What kind of physiological signals can I track during a live neurofeedback session?▼

During a live neurofeedback session, you can track focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV coherence, and sleep staging using real-time NeuroSkill metrics.

Do I need Node.js to stream cognitive load metrics over a WebSocket API?▼

Yes, streaming cognitive load metrics over a WebSocket API requires Node.js 20+ with the neuroskill CLI available, alongside a running NeuroSkill desktop instance for local JSON-capable command access.

Can I compare historical BCI sessions and find similar cognitive states?▼

You can compare historical BCI sessions and find similar cognitive states by utilizing NeuroSkill's stored embeddings and labels to search for neurally similar past moments and surface trends.

How do I label and track breakthrough moments during real-time brain monitoring?▼

To label and track breakthrough moments during real-time brain monitoring, you annotate specific timestamps within the active session, enabling later similarity searches and historical comparisons to reference those events.

What are the limitations of using local HTTP APIs for sleep staging review?▼

The primary limitation of using local HTTP or WebSocket APIs for sleep staging review is the strict dependency on a continuously running NeuroSkill desktop instance and local Node.js 20+ environment without remote cloud support.