Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intel

所属插件包：machine-learning-ops

ml-engineer智能体

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.

所属插件包：machine-learning-ops

mlops-engineer智能体

Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated training, deploy

所属插件包：machine-learning-ops

ml-pipeline命令

Orchestrate specialized agents to build a production ML pipeline from data analysis through training, deployment, and monitoring

所属插件包：machine-learning-ops

ml-pipeline-workflow技能

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementi

所属插件包：machine-learning-ops

recsys-pipeline-architect技能

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI

所属插件包：machine-learning-ops

关于项目

原作者: wshobson
许可证: MIT
上游更新: 2026年9月27日
内容扫描: 2026年9月27日

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