Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
5.8
Rating
0
Installs
DevOps & Infrastructure
Category
The skill provides a well-structured foundation for Vertex AI Terraform provisioning with clear trigger phrases and organized documentation. The description adequately covers capabilities (endpoints, vector search, Model Garden, encryption, auto-scaling), and the Instructions section outlines a logical 8-step workflow. Structure is clean with references to external files for errors and examples. However, novelty is moderate—while Vertex AI provisioning has complexity, much of this could be handled by a CLI agent with Terraform documentation access and gcloud commands. The skill would benefit from more specialized knowledge like pre-built module templates, complex IAM patterns, or advanced Model Garden integration patterns that truly differentiate it from general Terraform + documentation approaches. Task knowledge is solid with referenced files assumed to contain implementation details, though the Output section is empty (likely intentional placeholder).
jeremylongshore
Skill Author
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