AI & Machine Learning
M
ml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Install Command
claude skill add wshobson/agentsDescription
This skill provides comprehensive guidance for building production ML pipelines that handle the full lifecycle: data ingestion → preparation → training → validation → deployment → monitoring. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
Tags
MLOpsMachine LearningPipelineDeployment
Information
Developerwshobson
CategoryAI & Machine Learning
CreatedJan 15, 2026
UpdatedJan 15, 2026
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