eeg-recipe

What problem does it solve?

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.

Core Features & Use Cases

• End-to-end recipe execution: validates that your data shape matches the recipe, instantiates a frozen ANALYSIS_PLAN, then runs the full pipeline (preprocess → ICA → epoch → ERP/TFR and optional analyses → stats → figures → report → audit).
• Reproducibility-ready reporting: generates COBIDAS-compliant methods text and a citation/reproducibility receipt that records recipe version, inputs, and stage outputs.
• Guardrails before analysis: performs channel/marker/sampling-trace checks and stops on precise mismatches rather than proceeding silently.

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.

Quick Start

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.