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neuroskill-bci

Incorporate real-time NeuroSkill biometrics into assistant responses for cognitive state awareness.

Updated Apr 2, 2026
Search Tags:#focus#biometrics#bci#hrv#eeg#neuroskill#neurofeedback
One-click install
npx skills add https://github.com/JKhyro/HERMES-AGENT --skill neuroskill-bci-jkhyro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/JKhyro/HERMES-AGENT/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/JKhyro/HERMES-AGENT --skill neuroskill-bci-jkhyro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps Hermes adapt its responses to the user's real-time cognitive and emotional state instead of guessing from text alone.

Core Features & Use Cases

  • Live state awareness: Reads focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and signal quality from a running NeuroSkill instance.
  • Historical insight: Supports session review, similarity search, session comparison, and semantic label search to understand patterns over time.
  • Guided interventions: Recommends research-oriented protocols when metrics indicate stress, fatigue, low focus, or other actionable states.
  • Use case: A user asks whether they are ready for deep work, and the Skill checks live metrics, interprets them naturally, and suggests the right next action or a gentle protocol.

Quick Start

Ask the assistant to check the user's current NeuroSkill state and summarize what it means in plain language.

Frequently Asked Questions about neuroskill-bci

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

FAQPage Schema
How do I incorporate real-time EEG and biometric data into AI assistant responses?▼

To incorporate real-time EEG and biometrics into AI responses, this Skill reads live cognitive state metrics like focus, relaxation, and HRV from a local NeuroSkill instance, allowing the assistant to adapt its replies. It translates raw brain signals into context-aware conversational output.

Does this BCI integration work with Muse 2, Muse S, or OpenBCI headwear?▼

Yes, this BCI integration works directly with Muse 2, Muse S, and OpenBCI wearables. You must connect the headset to the local NeuroSkill desktop app, which then exposes the live biometric data to the assistant through a JSON-capable CLI or API.

What do I need to run NeuroSkill biometric sessions for cognitive state analysis?▼

To run NeuroSkill biometric sessions, you need Node.js 20+, the local NeuroSkill desktop app, a connected Muse 2, Muse S, or OpenBCI wearable, and JSON-capable CLI or API access. This setup enables live cognitive state checks and historical session analysis.

Can I compare historical EEG session data and search by semantic labels?▼

Yes, you can compare historical EEG session data and search by semantic labels. The Skill supports session review, similarity search, and semantic labeling to help understand cognitive patterns and biometric trends over time.

How does neurofeedback guide interventions when biometrics indicate stress or fatigue?▼

When biometrics indicate stress, fatigue, or low focus, the Skill uses neurofeedback data to recommend research-oriented protocols. It analyzes live metrics and suggests the appropriate next action or gentle intervention to help restore cognitive balance.

What BCI metrics are available for live cognitive state awareness during deep work?▼

Available BCI metrics for live cognitive state awareness include focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, and sleep staging. The Skill reads these metrics to determine readiness for deep work and suggest interventions.

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