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@FrankS-IntelLab

A problem-solving strategist focused on business decision-making and real value creation. Working across data, AI, and economic logic, I craft disciplined intel

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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.

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FrankS-IntelLab/agentic-kaggle-skill189Updated Jun 16, 2026

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