Agent Data Ml Model
ruvnet/rufloA machine learning developer agent helps you build, train, and deploy models. It handles data preprocessing, model selection, and evaluation. This agent works with notebooks, Python scripts, and common ML libraries.
You can ask it to create classification models, train neural networks, or build complete ML pipelines. It saves time by automating repetitive tasks. The agent also checks data quality and suggests improvements.
Model deployment requires human approval for safety. The agent keeps logs and can roll back changes if needed. It is best for data scientists and developers who want faster, more reliable model development.
Add Agent Data Ml Model skill to your workflow
Global
mkdir -p ~/.claude/skills/agent-data-ml-modelProject
mkdir -p .claude/skills/agent-data-ml-modelSource Repository
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