Skills and MCP tagged “mlops”

mle-workflow affaan-m skill A skill for turning model work into a production system: data contracts, reproducible training, evaluation, deployment and rollback. Claude Code CX Codex Cursor +1 4,500installs ai-engineer VoltAgent Community subagent This subagent helps design AI systems, choose models, build training pipelines, and prepare deployment. Use it when work spans research through production. Claude Code 7,687installs ml-engineer VoltAgent Community subagent An agent for building ML training pipelines, serving infrastructure, and automated retraining. It helps deploy production machine learning systems. Claude Code 1,971installs mlops-engineer Seth Hobson subagent Builds ML pipelines, configures experiment tracking, and automates model deployments across cloud platforms. Useful for teams standardizing ML infrastructure. Claude Code CX Codex Cursor 1,009installs senior-ml-engineer Alireza Rezvani skill Production ML engineering guidelines for model deployment, MLOps pipelines, and LLM integrations. Helps roll out canary releases, monitor drift, and configure RAG setups. Claude Code 915installs machine-learning-engineer VoltAgent Community subagent A subagent for deploying, optimizing, and serving ML models in production. Use it for inference infrastructure, scaling, and model monitoring. Claude Code 431installs