From jeremylongshore-claude-code-plugins-plus-skills
Guides Vertex AI model deployment tasks including ML serving, MLOps pipelines, monitoring, and production optimization.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremylongshore-claude-code-plugins-plus-skills:vertex-ai-deployerThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides automated assistance for vertex ai deployer tasks within the ML Deployment domain.
This skill provides automated assistance for vertex ai deployer tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with vertex ai 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
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin ejentum-reasoningCreates Vertex AI pipelines on GCP, automating ML workflow configuration and deployment.
Provisions Vertex AI infrastructure with Terraform: endpoints, Model Garden models, vector search indices, ML pipelines with encryption and auto-scaling.
Deploys trained ML models to production with API endpoints, containerization, and monitoring. Automates the deployment workflow with CI/CD integration.