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cli-datasets-config【数据与研究】Guides MNE-Python CLI entry points, dataset helpers, configuration, logging, system information, cache/network decisions, and install extras.
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Use this sub-skill when the task is about the mne console entry point, MNE-supplied dataset location/download decisions, persistent MNE configuration, logging, system diagnostics, cache/memmap settings, or choosing installation extras.
mne --help, mne --version, mne sys_info, mne show_info, mne what, mne report, and source/BEM setup commands: read CLI reference.MNE_DATA, dataset-specific config keys, get_config, set_config, get_config_path, logging, cache, memmap, and sys_info: read datasets and config.python scripts/mne_cli_probe.py --help, then select safe probes.This sub-skill owns package operation and environment decisions. Route detailed Python data analysis, preprocessing, visualization, source modeling, statistics, decoding, or simulation workflows to their owning analysis sub-skills. Route repository editing, linting, changelog, contributor policy, and native test-selection policy to repo-development.
mne --help, mne --version, and mne sys_info --help; use mne sys_info --no-check-version --ascii when network access or Unicode output is a concern.mne <command> --help and identify input/output paths, overwrite flags, display requirements, and optional dependencies.download=False and update_path=False, then treat an empty path result as "not available locally".mne.get_config_path(), mne.get_config(), and mne.set_config() rather than editing config JSON directly.sys_info(show_paths=True) output publicly until local paths have been reviewed for privacy.Distilled from MNE-Python command modules, dataset utilities, config/logging utilities, install metadata, install documentation, command and dataset tests, and installed CLI/API smoke evidence. Runtime use of this skill does not require opening those source files.