byfranks-intellab· 1 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.
$npx -y skills add franks-intellab/agentic-kaggle-skill --skill agentic-kaggle-skillInstalls into the current project.
Run `npx skills use "https://github.com/franks-intellab/agentic-kaggle-skill" --skill "franks-intellab/agentic-kaggle-skill"` 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/franks-intellab/agentic-kaggle-skill" that are relevant to the current task. Run `npx skills add "https://github.com/franks-intellab/agentic-kaggle-skill"` and select the relevant skills, then follow their instructions.