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Databricks MLflow Workflow
databricks-core-workflow-b
jeremylongshore/claude-code-plugins-plus-skills
167
Guides ML engineers through the Databricks secondary workflow that links Feature Store engineering, MLflow experiment tracking, model registry versioning, and serving so production-grade models can be trained and deployed.
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Model Registry Manager
model-registry-manager
jeremylongshore/claude-code-plugins-plus-skills
162
Automates guidance for model registry manager tasks within ML deployment, covering serving, MLOps pipelines, monitoring, and production optimization whenever that trigger phrase appears.
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Model Version Tracker
tracking-model-versions
jeremylongshore/claude-code-plugins-plus-skills
127
Enables Claude to manage AI/ML model versions through the model-versioning-tracker plugin, automating logging, lineage tracking, performance summaries, and version retrieval whenever users request registry or deployment support.
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1
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