Gcp Storage

Name: Gcp Storage
Author: alphaonedev

alphaonedev/openclaw-graph

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

gcp-storage is a Claude Code skill that provides guidance for managing Google Cloud Storage buckets, objects, and access controls.

About

gcp-storage is a skill that provides architecture guidance and cost modeling for managing Google Cloud Storage buckets, objects, and access controls. It delegates the actual object operations to the official Google Cloud Python client libraries. A developer consults it when planning GCS data storage, lifecycle policies, or bucket IAM.

Architecture guidance for managing Google Cloud Storage buckets, objects, and access controls
Delegates provisioning to the official Google Cloud Python SDK
Covers cost estimation and IAM pre-flight requirements

Gcp Storage by the numbers

57 all-time installs (skills.sh)
Ranked #693 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
Data as of Jul 28, 2026 (Skillselion catalog sync)

At a glance

gcp-storage capabilities & compatibility

Requires a Google Cloud account and GCP billing; incurs standard Cloud Storage usage cost

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

From the docs

What gcp-storage says it does

Interact with Google Cloud Storage to manage buckets, objects, and access controls for scalable data storage.

SKILL.md

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

SKILL.md

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

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Installs	57
repo stars	★ 6
Last updated	March 13, 2026
Repository	alphaonedev/openclaw-graph ↗

What it does

Consult it when planning or managing Google Cloud Storage buckets, objects, and access controls.

Who is it for?

Google Cloud Storage bucket and object management, access-control and cost planning

When should I use this skill?

planning or managing Google Cloud Storage buckets and objects

By the numbers

References 5 GCP service client libraries to install as needed

Files

SKILL.mdMarkdownGitHub ↗

gcp-storage

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)