NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind
Nataliya Kosmyna, Eugene Hauptmann

TL;DR
NeuroSkill(tm) is an offline, real-time agentic system that models human mental states using brain signals and text embeddings, engaging users on cognitive and emotional levels through an open-source platform.
Contribution
It introduces NeuroSkill(tm), a novel offline system that integrates brain-computer interface data with text-based models to proactively engage with human mental states.
Findings
Successfully models human state of mind using BCI data and text embeddings.
Engages users on multiple cognitive and affective levels.
Open-source NeuroSkill(tm) platform available for development and research.
Abstract
Real-time proactive agentic system, capable of modeling Human State of Mind, using foundation EXG model and text embeddings model, running fully offline on the edge. Unlike all previously known systems, the NeuroSkill(tm) system leverages SKILL.md description of Human's State of Mind via API and CLI provided by the system, directly from the Brain-Computer Interface (BCI) devices, which records Human biophysical and brain signals. Our custom harness - NeuroLoop(tm) - utilizes all of the above to run agentic flow that manages to engage with the Human on multiple cognitive and affective levels of their State of Mind (e.g., empathy), by providing actionable tool calls and protocol execution with explicit or implicit requests from the Human. GPLv3 open-source software with ethically aligned AI100 licensing for the skill markdown.
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Social Robot Interaction and HRI · Emotion and Mood Recognition
