From jeremylongshore-claude-code-plugins-plus-skills
Automates Azure ML deployer operations with step-by-step guidance, code generation, and configurations for model serving, MLOps pipelines, 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 azure ml deployer tasks within the ML Deployment domain.
Builds ML pipelines, tracks experiments, and manages model registries with MLflow, Kubeflow, Airflow, SageMaker, and Azure ML. Automates training, deployment, monitoring for MLOps infrastructure.
Automates Vertex AI deployer operations for ML deployment, generating code and configs for model serving, MLOps pipelines, monitoring, and production optimization.
Deploys trained ML models to production via REST APIs, Docker containers, Kubernetes clusters, with data validation, error handling, and performance monitoring.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for azure ml deployer tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with azure ml deployer" 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