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provisioning-vertex

Automate Vertex AI project provisioning on GCP with idempotent checks.

1|Updated Nov 10, 2025
Search Tags:#automation#GCP#billing#Vertex AI#API keys#project provisioning
One-click install
npx skills add https://github.com/eci-global/80HD --skill provisioning-vertex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: provisioning-vertex
Source: https://github.com/eci-global/80HD/tree/main/.claude/skills/provisioning-vertex
Command: npx skills add https://github.com/eci-global/80HD --skill provisioning-vertex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provisions GCP Vertex AI projects with automated setup, reducing manual, error-prone configuration and enabling fast onboarding.

Core Features & Use Cases

  • Automated project creation and labeling: Creates Vertex AI projects in the correct folder with appropriate labels for governance.
  • Billing linkage and API enablement: Links billing accounts and enables Vertex AI API automatically.
  • API key provisioning and management: Generates restricted API keys for Vertex AI usage with cost-tracking annotations and secure handling.
  • Idempotent workflows: Detects existing projects to avoid duplicates; supports provisioning for multiple business units in a batch.
  • Shareable environment snippets: Produces ready-to-use setup blocks for Claude Code to connect to new projects.

Quick Start

To provision a project for Marketing, use the command: /provisioning-vertex create project for Marketing, owner: marketing@company.com

Frequently Asked Questions about provisioning-vertex

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Vertex AI project provisioning on GCP?▼

Automated Vertex AI project provisioning on GCP handles project creation, billing linkage, API enablement, and key management in a single workflow. It uses the gcloud MCP server to configure environments and generate shareable setup snippets.

What environment variables do I need to set up a GCP Vertex AI project?▼

Setting up a GCP Vertex AI project requires three environment variables: GCP_FOLDER_ID, GCP_BILLING_ACCOUNT, and VERTEX_AI_REGION. These values ensure the new project is created in the correct folder with active billing and the specified region.

Can I provision multiple Vertex AI projects for different business units at once?▼

Yes, you can provision multiple Vertex AI projects for different business units in a batch. The workflow supports multi-project provisioning with idempotent checks to detect existing projects and prevent duplicates.

How are API keys secured when generating Vertex AI project credentials?▼

API keys are secured during Vertex AI project credential generation by truncating sensitive values in the chat interface. Full API key values are only exposed within a shareable environment snippet for Claude Code.

Does the Vertex AI provisioning workflow check for existing projects before creating new ones?▼

Yes, the Vertex AI provisioning workflow includes idempotent checks to detect existing projects before creating new ones. This prevents duplicate project creation and supports safe, repeatable execution.

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