Use when producing a runnable deliverable for an ML task, to decide the target environment and author the notebook or script. Detects whether the user wants a Kaggle notebook, a Google Colab notebook, or a local GPU run, and adapts paths, data loading, and compute settings accordingly. Also enforces the writing style for generated notebooks: short and simple explanations, professional research tone, no em-dash, no emoji. Triggers on 'make a notebook', 'kaggle', 'google colab', 'run on my local gpu', 'run in vscode', 'ipynb', 'give me the code to run'.
$npx -y skills add mxslr/mlcraft --skill notebook-deliveryInstalls into the current project.
Run `npx skills use "https://github.com/mxslr/mlcraft" --skill "mxslr/mlcraft/notebook-delivery"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mxslr/mlcraft" that are relevant to the current task. Run `npx skills add "https://github.com/mxslr/mlcraft"` and select the relevant skills, then follow their instructions.