// How to use the kaggle CLI — managing datasets, competitions, notebooks, models, and benchmarks. Activate this skill when the user asks about kaggle CLI commands, workflows, or troubleshooting.
| name | kaggle-cli |
| description | How to use the kaggle CLI — managing datasets, competitions, notebooks, models, and benchmarks. Activate this skill when the user asks about kaggle CLI commands, workflows, or troubleshooting. |
The kaggle command-line tool provides access to Kaggle's platform features.
pip install kaggle
# Browser-based OAuth login
kaggle auth login
# Or set KAGGLE_API_TOKEN environment variable
# Or place token in ~/.kaggle/access_token
kaggle
├── competitions (alias: c) — Join and submit to competitions
├── datasets (alias: d) — Create, download, and manage datasets
├── kernels (alias: k) — Run and manage notebooks/scripts
├── models (alias: m) — Upload and version models
└── benchmarks (alias: b) — Benchmark LLM models on tasks
For detailed reference on specific command groups, see:
