Individual skill

ml-experiment

A full ML pipeline where an agent team collaborates to perform data preparation, model design, training, evaluation, and deployment readiness. Use this skill for 'design an ML experiment', 'train a model', 'machine learning project', 'build a deep learning model', 'classification model', 'regression model', 'data preprocessing', 'model evaluation', 'hyperparameter tuning', 'MLOps setup', 'XGBoost model', 'PyTorch model', and other ML experiment tasks. Supports data-preprocessing-only or evaluation-only requests as well. Note: model serving infrastructure (SageMaker/Vertex AI) direct deployment, large-scale distributed training cluster management, and real-time inference service operation are outside this skill's scope.

en/31-ml-experiment/.claude/skills/ml-experiment/skill.md

Source commit 8e8d35c6a19166614d1af1df85512266d51121ae

What was checked

Matches the observed repository HEAD

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Yes

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Skill scan complete

Yes

Observed behavior

Instructions only

Last checked

Nov 9, 2026

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