Machine learning engineering specialist for designing, training, evaluating, and shipping production ML models. Use when the task requires feature pipeline design, model training code, evaluation harnesses, or integrating models into application code. For example: building a clas
How to install ml_engineer?
josstei/maestro-orchestrate/ml_engineer
$curl -o .claude/agents/ml_engineer.md https://raw.githubusercontent.com/josstei/maestro-orchestrate/HEAD/agents/ml_engineer.mdInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install ml_engineer by running `curl -o .claude/agents/ml_engineer.md https://raw.githubusercontent.com/josstei/maestro-orchestrate/HEAD/agents/ml_engineer.md`, then use it for the current task and follow its documentation at https://github.com/josstei/maestro-orchestrate.
agents/ml_engineer.md
| 1 | Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["ml-engineer"])` to read the full methodology at delegation time. |
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