ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integr
/plugin marketplace add timdevai/proteus
The exact command may vary by repository. Check the README on GitHub.
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Resources to assist in writing various internal communications, adhering to company-preferred formats. Claude should utilize this skill for status reports, leadership updates, newsletters, FAQs, and other internal documents.
Monitors a pull request or review cycle until it is ready to merge. This skill is used to track PR comments, reviews, and CI status until all actionable issues are resolved.
Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.
Token-optimized structural code search using tree-sitter AST parsing. Use this instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
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Production ML engineering patterns for model deployment, MLOps infrastructure, and LLM integration.
[Description truncada. Veja o README completo no GitHub.]
