Orchestrate end-to-end EEG analysis from BIDS ingestion through audit.
npx skills add https://github.com/dengzhe-hou/auto-eeg-analysis --skill eeg-pipeline
Please help me install this Agent Skill. Skill: eeg-pipeline Source: https://github.com/dengzhe-hou/auto-eeg-analysis/tree/main/skills/eeg-pipeline Command: npx skills add https://github.com/dengzhe-hou/auto-eeg-analysis --skill eeg-pipeline
It solves the problem of coordinating a complete EEG workflow—from BIDS intake through preprocessing, feature extraction, statistics, figure generation, and an audit—so you can produce a paper-ready result without manually wiring dozens of steps together.
Ask the agent to run the full pipeline for your project directory, automatically reading DATASET_BRIEF.md and ANALYSIS_PLAN.md to decide which branches to execute.
High-intent search queries and answers about installing and using this skill.
To run an end-to-end EEG analysis pipeline, provide your project directory containing DATASET_BRIEF.md and ANALYSIS_PLAN.md. The pipeline orchestrates BIDS ingestion, preprocessing, ICA, epoching, feature extraction, statistics, figures, reporting, and a final audit automatically.
Yes, the pipeline uses plan-gated execution and refuses to run without a frozen ANALYSIS_PLAN.md. It can optionally generate a draft plan and confirm with you before proceeding with preprocessing and subsequent stages.
Yes, the pipeline persists progress in PIPELINE_STATE.json and supports resuming from the last incomplete stage or from a specific stage via arguments, allowing crash recovery without restarting the entire workflow.
The pipeline ensures reproducibility through plan-gated execution and an automated review gate. It finalizes only after eeg-audit produces a pass or pass-with-caveats verdict, ensuring quality control across all stages.
Optional EEG feature analysis branches include TFR, connectivity, microstate, and source analysis. You select these from project briefs and a frozen analysis plan to customize the pipeline orchestration.
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