Execute a published EEG analysis recipe end-to-end on user data.
npx skills add https://github.com/dengzhe-hou/auto-eeg-analysis --skill eeg-recipe
Please help me install this Agent Skill. Skill: eeg-recipe Source: https://github.com/dengzhe-hou/auto-eeg-analysis/tree/main/skills/eeg-recipe Command: npx skills add https://github.com/dengzhe-hou/auto-eeg-analysis --skill eeg-recipe
It eliminates the manual, error-prone effort of reproducing a published EEG analysis by turning a recipe plus your dataset into a complete, paper-ready output.
Use cases: reproducing an existing N170/oddball/ERP protocol on a new study; generating figures and methods text for manuscript submission; running a standardized pipeline so reviewer concerns can be addressed before submission.
Run the eeg-recipe skill on your study directory by providing the recipe slug and the path to your project data, for example: eeg-recipe n170 --data projects/my-study.
High-intent search queries and answers about installing and using this skill.
To reproduce an EEG analysis, you run a validated recipe end-to-end on your dataset, which executes preprocessing, epoching, and statistical stages to generate paper-ready figures and reports.
Generating COBIDES-compliant methods text is automated by running a standardized EEG recipe, which produces the narrative descriptions and citation receipts needed directly for manuscript submission.
Checking EEG data shape and marker codes against a recipe is handled by built-in guardrails that validate YAML constraints and stop the pipeline on precise channel or sampling-rate mismatches.
Running EEG connectivity or microstate analysis is supported by recipes that define optional stages, allowing the frozen pipeline to execute these advanced analyses alongside standard ERP and TFR workflows.
When EEG marker codes do not match a recipe, the pipeline performs optional marker remapping during validation, allowing your data to conform to the required analysis plan without manual file edits.
A reproducibility receipt is generated automatically, recording the recipe version, input data, and stage outputs to provide reviewers with a deterministic audit trail of your EEG analysis.
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