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gcp-terraform

gcp-terraform

github.com/alphaonedevCloud & DevOps62 installs
Repository

About gcp-terraform

gcp-terraform is a skill for Google Cloud provisioning and operations. It relies on the official Google Cloud Python client libraries for execution and provides architecture guidance, cost estimates, and pre-flight checks, with references for Vertex AI, Agent Engine, and multi-agent workflow design.

Key features

  1. 01GCP service selection and architecture guidance
  2. 02Cost estimation and optimization guidance
  3. 03IAM and federation pre-flight checks
  4. 04Infrastructure-as-code approach guidance
  5. 05Vertex AI and multi-agent design references

Use cases

  1. 01Planning GCP services and architecture trade-offs
  2. 02Estimating cloud costs and exploring optimization
  3. 03Checking IAM and Workload Identity Federation requirements
  4. 04Designing multi-agent workflows with Vertex AI Agent Engine

MCP support

It references Vertex AI Extensions as MCP-compatible. The skill itself delegates GCP operations to the Google Cloud Python client libraries.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alphaonedev/openclaw-graph --skill gcp-terraform

After installing, type/gcp-terraformin Claude Code to confirm it loaded.

Details

From the project README

gcp-terraform

Google Cloud Integration

This skill delegates all GCP provisioning and operations to the official Google Cloud Python client libraries.

# Core GCP client library
pip install google-cloud-python

# Vertex AI + Agent Engine (AI/ML workloads)
pip install google-cloud-aiplatform

# Specific service clients (install only what you need)
pip install google-cloud-bigquery      # BigQuery
pip install google-cloud-storage       # Cloud Storage
pip install google-cloud-pubsub        # Pub/Sub
pip install google-cloud-run           # Cloud Run

SDK Docs: https://github.com/googleapis/google-cloud-python Vertex AI SDK: https://cloud.google.com/vertex-ai/docs/python-sdk/use-vertex-ai-python-sdk

Use the Google Cloud Python SDK for all GCP provisioning and operational actions. This skill provides architecture guidance, cost modeling, and pre-flight requirements — the SDK handles execution.

Architecture Guidance

Consult this skill for:

  • GCP service selection and trade-off analysis
  • Cost estimation and optimization (committed use discounts, sustained use)
  • Pre-flight IAM / Workload Identity Federation requirements
  • IaC approach (Terraform AzureRM vs Deployment Manager vs Config Connector)
  • Integration patterns with Google Workspace and other GCP services
  • Vertex AI Agent Engine for multi-agent workflow design

Agent & AI Capabilities

CapabilityTool
LLM agentsVertex AI Agent Engine
Model servingVertex AI Model Garden
RAGVertex AI Search + Embeddings API
Multi-agentAgent Development Kit (google/adk-python)
MCPVertex AI Extensions (MCP-compatible)

Reference

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