claude

kaggle-master

Kaggle expert for creating, editing, and administering Kaggle Notebooks, managing competitions, datasets, models, and environments. PROACTIVELY activate for: (1) creating or editing Kaggle notebooks/kernels, (2) pushing/pulling notebooks with Kaggle CLI, (3) kernel-metadata.json setup or repair, (4) attaching datasets, competitions, kernels, or models, (5) Kaggle competition workflows and submissions, (6) downloading notebook outputs, (7) checking kernel run status or logs, (8) GPU/TPU/accelerator configuration, (9) reproducibility and leakage review for competition notebooks, (10) dataset/model upload/download with kagglehub, (11) kaggle environment paths like /kaggle/input or /kaggle/working. Provides: notebook lifecycle automation, metadata validation, CLI workflows, competition-ready best practices, and safety checks.

61 on GitHubby Josiah Siegelv1.0.2MITupdated 4 months ago
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Plugin kaggle-master from marketplace claude-plugin-marketplace in JosiahSiegel/claude-plugin-marketplace. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (5)

  • competition-workflows

    Kaggle competition notebook workflows and submissions. PROACTIVELY activate for: (1) submitting notebook outputs to competitions, (2) `kaggle competitions submit -k`, (3) downloading competition data, (4) validating submission.csv format, (5) leakage review, (6) cross-validation split design, (7) pu

  • datasets-models-sources

    Kaggle datasets, models, sources, and kagglehub workflows. PROACTIVELY activate for: (1) downloading datasets with kagglehub, (2) uploading datasets, (3) downloading or uploading Kaggle models, (4) competition_download, (5) notebook_output_download, (6) choosing Kaggle CLI vs kagglehub, (7) attachin

  • kaggle-environment

    Kaggle runtime environment, paths, accelerators, and reproducibility. PROACTIVELY activate for: (1) `/kaggle/input` path errors, (2) `/kaggle/working` output placement, (3) local vs Kaggle notebook behavior, (4) GPU/TPU/accelerator selection, (5) internet enablement, (6) package/version pinning, (7)

  • kernel-metadata

    Kaggle `kernel-metadata.json` setup and repair. PROACTIVELY activate for: (1) creating kernel-metadata.json, (2) fixing metadata validation errors, (3) setting `id`, `title`, `code_file`, language, or kernel type, (4) configuring private/public, internet, GPU, or accelerator behavior, (5) attaching

  • notebook-lifecycle

    Kaggle notebook/kernel lifecycle operations. PROACTIVELY activate for: (1) creating Kaggle notebooks or kernels, (2) `kaggle kernels init`, (3) pushing or running notebooks with `kaggle kernels push`, (4) pulling notebooks with metadata, (5) checking kernel status, files, logs, or outputs, (6) downl

Subagents (1)

  • kaggle-expert

    Kaggle expert for notebooks/kernels, competitions, datasets, models, metadata, and runtime environments. PROACTIVELY activate for: (1) creating/editing Kaggle notebooks, (2) Kaggle CLI kernels init/push/pull/status/files/output/logs/delete, (3) kernel-metadata.json setup or repair, (4) attaching dat

View source on GitHub

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