Generate a Kaggle competition notebook as a Jupytext # %% Python script following the user's established ML research style: PTL for DNN training, best-fit tool selection, EDA→Baseline→Train→Inference pipeline with per-stage lens cells, small single-purpose cells each carrying a why. Tuned to win (leakage-safe CV, metric-aligned modeling) as much as to teach. Writes output to .experiments/kaggle/<name>.py.
How to install kaggle?
borda/ai-rig/kaggle
$npx -y skills add borda/ai-rig --skill kaggleInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/borda/ai-rig" --skill "borda/ai-rig/kaggle"` 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/borda/ai-rig" that are relevant to the current task. Run `npx skills add "https://github.com/borda/ai-rig"` and select the relevant skills, then follow their instructions.
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