From jeremylongshore-claude-code-plugins-plus-skills
Provides step-by-step guidance, code, and configurations for model versioning manager tasks in ML deployment, covering MLOps pipelines, serving, inference, monitoring, and production optimization.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for model versioning manager tasks within the ML Deployment domain.
Manages model registry operations for ML deployment, providing step-by-step guidance, production-ready code, and configurations for model serving, MLOps pipelines, monitoring, and optimization.
Tracks AI/ML model versions using MLflow: logs hyperparameters/metrics, registers models, manages Staging/Production stages, compares performance, generates model cards.
Guides MLOps workflows for ML model deployment: readiness checklists, serving infrastructure (FastAPI, SageMaker, Triton), inference optimization, versioning, A/B testing, drift detection, retraining, and monitoring.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for model versioning manager tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with model versioning manager" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production