From jeremylongshore-claude-code-plugins-plus-skills
Configures canary deployments for ML applications and services, providing step-by-step guidance, production-ready code, and configurations following best practices.
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 canary deployment setup tasks within the ML Deployment domain.
Implements canary deployment strategies for gradual version rollouts to user subsets with automatic metric-based rollback in Kubernetes and Istio setups.
Deploys ML models to production serving infrastructure using MLflow, BentoML, Seldon Core with REST/gRPC endpoints, autoscaling, monitoring, A/B testing for scalable real-time inference.
Builds ML pipelines, tracks experiments, and manages model registries with MLflow, Kubeflow, Airflow, SageMaker, and Azure ML. Automates training, deployment, monitoring for MLOps infrastructure.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for canary deployment setup tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with canary deployment setup" 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