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laxmi-narayan-87/mlops-pipeline-engineer

v0.1.0

Design reproducible ML workflows for data validation, training, evaluation, registry promotion, deployment, monitoring, and rollback.

mlops-pipeline

Use when creating or improving repeatable machine-learning pipelines, CI/CD for models, orchestration DAGs, model registry workflows, deployment gates, or production monitoring.

Read SKILL.md at the source

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