MLOps / model lifecycle pre-implementation reviewer. Specialises in dataset versioning (DVC / LakeFS), distributed training cost budgets, model registry (MLflow / W&B), drift detection (Evidently / WhyLabs), bias / fairness audit (Fairlearn / AIF360), shadow + A/B model serving,…
How to install mlops-reviewer?
avelikiy/great_cto/mlops-reviewer
$curl -o .claude/agents/mlops-reviewer.md https://raw.githubusercontent.com/avelikiy/great_cto/HEAD/agents/mlops-reviewer.mdInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install mlops-reviewer by running `curl -o .claude/agents/mlops-reviewer.md https://raw.githubusercontent.com/avelikiy/great_cto/HEAD/agents/mlops-reviewer.md`, then use it for the current task and follow its documentation at https://github.com/avelikiy/great_cto.
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