mlops-engineer

SKILL.md

Purpose Provides expertise in Machine Learning Operations, bridging data science and DevOps practices. Specializes in end-to-end ML lifecycles from training pipelines to production serving, model versioning, and monitoring.

| Manual deployments | Error-prone, slow | Automated ML CI/CD | | Training-serving skew | Prediction errors | Feature stores | | No model versioning | Can't reproduce or rollback | Model registry | | Ignoring data drift | Silent degradation | Continuous monitoring | | Notebook-to-production | Unmaintainable | Proper pipeline code |

连接数据科学和 DevOps 的机器学习运营专家。在构建 ML 管道、模型版本控制、特征存储或生产 ML 服务时使用。触发器包括“MLOps”、“ML 管道”、“模型部署”、“特征存储”、“模型版本控制”、“ML 监控”、“Kubeflow”、“MLflow”。 来源：404kidwiz/claude-supercode-skills。

打开你的终端或命令行工具（如 Terminal、iTerm、Windows Terminal 等） 复制并运行以下命令：npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill mlops-engineer 安装完成后，技能将自动配置到你的 AI 编程环境中，可以在 Claude Code 或 Cursor 中使用

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