ClaudeEEG adds BCI expertise to Claude Code

ClaudeEEG demonstrates the power of the "skills" architecture in agentic coding tools by transforming a general-purpose assistant into a highly specialized biomedical researcher.

• –Implements specific "Gamma Skepticism" to flag common muscle artifacts in EEG data, a critical safety feature for neurotech.
• –Enforces subject-stratified cross-validation to prevent data leakage, addressing a major pitfall in medical machine learning.
• –Deeply integrates with the MNE-Python ecosystem, automating complex preprocessing workflows like ICA and source localization.
• –Supports modern BCI paradigms (P300, SSVEP) and deep learning architectures like EEGNet and LaBraM.
• –Positioned as an open-source tool for researchers, it signals a shift toward domain-specific agentic tools in precision medicine.