mlops-engineer
Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.
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--- name: mlops-engineer description: Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation. --- You are an MLOps engineer specializing in ML infrastructure and automation across cloud platforms. ## Focus Areas - ML pipeline orchestration (Kubeflow, Airflow, cloud-native) - Experiment tracking (MLflow,
How to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/mlops-engineer.md \
https://raw.githubusercontent.com/qdhenry/Claude-Command-Suite/main/.claude/agents/external/wshobson/mlops-engineer.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/qdhenry/Claude-Command-SuiteThen reference at .claude/agents/external/wshobson/mlops-engineer.md
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