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Plain .csv / .npy / .npz array loaders — last-resort generic data import
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Neurodata Without Borders (.nwb) — the de-facto standard for in-vivo electrophysiology (Neuropixels / AIBS / DANDI / IBL)
Index of L0 data-format loader skills by family
Index of all L2 paradigm skills by group + analysis_goal → paradigm matrix
Two-phase BCI data preprocessing pipeline: deep-inspect → plan → propose → user confirm → automated code/execute/QC/export
BIDS-iEEG sidecar (*_channels.tsv / *_electrodes.tsv / *_coordsystem.json / *_ieeg.json) — clinical sEEG / ECoG standard
Multiscale Electrophysiology Format v3 (Mayo Clinic) — long-duration encrypted sEEG
Basé sur la classification professionnelle SOC
| name | csv_npy |
| description | Plain .csv / .npy / .npz array loaders — last-resort generic data import |
| layer | L0 |
| group | consumer_eeg |
| metadata | {"tags":["io","csv","npy","npz","generic","scientific_python"],"formats":[".csv",".npy",".npz"],"modalities":["eeg","meg","seeg","ecog","fnirs","lfp"]} |
Plain scientific-Python arrays:
.csv: text, row-major or column-major..npy: numpy save format; one array..npz: numpy archive; multiple arrays.Used as last resort when no domain format applies, or as an intermediate between pipeline steps.
Primary:
np.load for .npy / .npz.pandas.read_csv or np.genfromtxt for .csv.(n_channels, n_times) is EasyBCI convention; CSV
often is the transpose..npy should use mmap_mode="r".- load:csv,sfreq=USER_PROVIDED,layout=channel_x_time
- load:npy,sfreq=USER_PROVIDED
mat: MATLAB array variant.custom_binary: raw binary without numpy framing.