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neuroskill-bci

Integrate real-time NeuroSkill brain and body metrics into Hermes responses.

Updated Apr 1, 2026
Search Tags:#real-time#neuroscience#biometrics#bci#brain-computer-interface#neuroskill#cognitive-state
One-click install
npx skills add https://github.com/founderphantom/zola-agent --skill neuroskill-bci-founderphantom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuroskill-bci
Source: https://github.com/founderphantom/zola-agent/tree/main/optional-skills/health/neuroskill-bci
Command: npx skills add https://github.com/founderphantom/zola-agent --skill neuroskill-bci-founderphantom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Connect Hermes to a running NeuroSkill instance to read real-time brain and body metrics from a BCI wearable and incorporate these signals into responses, enabling cognitively-aware interactions.

Core Features & Use Cases

  • Real-time cognitive-state integration: adapt replies based on focus, relaxation, mood, and related metrics.
  • Protocol support: suggest NeuroSkill-guided interventions from the reference library when signals indicate need.
  • Session tracking: annotate and review cognitive-state trends across sessions for performance improvement.

Quick Start

Interactively connect Hermes to NeuroSkill and start streaming live metrics for contextual-aware 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 brain-computer interface metrics into conversational AI responses?▼

Real-time brain-computer interface metrics are integrated into conversational AI by connecting to a local NeuroSkill desktop app via WebSocket or HTTP API, streaming cognitive-state data like focus and relaxation to tailor replies during live sessions.

What BCI headsets are compatible with streaming cognitive-state data for live AI sessions?▼

Supported BCI headsets for streaming cognitive-state data include the Muse 2, Muse S, and OpenBCI devices, which must connect through the locally running NeuroSkill desktop application to feed biometric signals into the AI.

Can I use biometric signals to trigger interventions during a task session?▼

Biometric signals can trigger interventions during task sessions by referencing a built-in protocol library, suggesting NeuroSkill-guided actions when real-time brain and body metrics indicate a need for focus or relaxation adjustments.

How does tracking cognitive state across sessions work with brain-computer interface data?▼

Tracking cognitive state across sessions works by annotating real-time brain and body metrics, allowing you to review focus, relaxation, and mood trends over time to improve performance in subsequent task sessions.

Do I need a specific desktop environment to stream real-time neuroscience biometrics for AI context?▼

You need the NeuroSkill desktop app running locally to stream real-time neuroscience biometrics for AI context, acting as the bridge between your supported BCI wearable and the conversational interface via WebSocket or HTTP API.

What is the best way to adapt AI replies based on focus and relaxation levels?▼

The best way to adapt AI replies based on focus and relaxation levels is to stream real-time cognitive-state metrics from a BCI through NeuroSkill, enabling the system to dynamically tailor responses and suggest interventions during live conversations.

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