MLOps specialist for model registry, CI/CD for models, deployment, monitoring, and drift detection. Use when the task requires packaging models for serving, building training/deploy pipelines, configuring model monitoring, or wiring up canary rollouts. For example: automating ret
How to install mlops_engineer?
josstei/maestro-orchestrate/mlops_engineer
$curl -o .claude/agents/mlops_engineer.md https://raw.githubusercontent.com/josstei/maestro-orchestrate/HEAD/agents/mlops_engineer.mdInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install mlops_engineer by running `curl -o .claude/agents/mlops_engineer.md https://raw.githubusercontent.com/josstei/maestro-orchestrate/HEAD/agents/mlops_engineer.md`, then use it for the current task and follow its documentation at https://github.com/josstei/maestro-orchestrate.
agents/mlops_engineer.md
| 1 | Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["mlops-engineer"])` to read the full methodology at delegation time. |
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