From jeremylongshore-claude-code-plugins-plus-skills
Configures Vertex AI endpoint operations in GCP. Provides step-by-step guidance, production-ready code, and configs for Vertex AI endpoints and related GCP services. Triggers on 'vertex ai endpoint config'.
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 vertex ai endpoint config tasks within the GCP Skills domain.
Provisions Vertex AI infrastructure with Terraform: Model Garden models, Gemini endpoints, vector search indices, ML pipelines, encryption, auto-scaling, and IAM.
Generates Vertex AI pipeline configurations, code, and step-by-step guidance following GCP best practices. Useful for ML pipeline creation and operations.
Builds Vertex AI Agent Engine scaffolds with Gemini models, RAG, function calling, multi-modal capabilities, evaluation, and GCP deployment configs.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for vertex ai endpoint config tasks within the GCP Skills domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with vertex ai endpoint config" 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 GCP Skills skill category. Tags: gcp, bigquery, vertex-ai, cloud-run, firebase