Gcp Terraform

Name: Gcp Terraform
Author: alphaonedev

alphaonedev/openclaw-graph

64 installs
6 repo stars
Updated March 13, 2026
alphaonedev/openclaw-graph

gcp-terraform is a Claude Code skill that guides automating and managing Google Cloud Platform resources using Terraform infrastructure as code.

About

gcp-terraform is a skill that provides architecture guidance for automating and managing Google Cloud Platform resources with Terraform infrastructure as code. It advises on IaC approach trade-offs and pre-flight IAM requirements while delegating execution to the Google Cloud Python SDK. A developer consults it when writing Terraform to provision GCP resources.

Guidance for automating Google Cloud resources with Terraform infrastructure as code
Delegates execution to the official Google Cloud Python SDK
Covers IaC approach trade-offs and IAM pre-flight requirements

Gcp Terraform by the numbers

64 all-time installs (skills.sh)
Ranked #641 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
Data as of Jul 28, 2026 (Skillselion catalog sync)

At a glance

gcp-terraform capabilities & compatibility

Requires a Google Cloud account and GCP billing; Terraform itself is free

Capabilities: gcp gke · gcp storage · gcp vertexai
Works with: gcp · terraform
Use cases: devops · ci cd
Runs: Runs locally
Pricing: Bring your own API key

From the docs

What gcp-terraform says it does

Automate and manage Google Cloud Platform resources using Terraform for infrastructure as code.

SKILL.md

IaC approach (Terraform AzureRM vs Deployment Manager vs Config Connector)

SKILL.md

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

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Installs	64
repo stars	★ 6
Last updated	March 13, 2026
Repository	alphaonedev/openclaw-graph ↗

What it does

Consult it when automating Google Cloud resources with Terraform infrastructure as code.

Who is it for?

Terraform-based GCP provisioning, IaC approach selection, and IAM pre-flight planning

When should I use this skill?

writing or reviewing Terraform to provision Google Cloud resources

By the numbers

Compares 3 IaC approaches: Terraform vs Deployment Manager vs Config Connector

Files

SKILL.mdMarkdownGitHub ↗

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

Capability	Tool
LLM agents	Vertex AI Agent Engine
Model serving	Vertex AI Model Garden
RAG	Vertex AI Search + Embeddings API
Multi-agent	Agent Development Kit (google/adk-python)
MCP	Vertex AI Extensions (MCP-compatible)