agentic-kaggle-skill
Launched 1 month ago · Sep 25, 2026
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
About this skill
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
Indexed from the public file SKILL.md in FrankS-IntelLab/agentic-kaggle-skill. The original GitHub repository is authoritative. Skills are never executed or installed by this platform.
Source
- Author
- franks-intellab
- Stars
- ⭐ 185
- Branch
- main
- Repo updated
- 6/15/2026
- Indexed
- 9/25/2026
- Upvotes
- 0
- Views
- 1
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