tech/google/cloud

Integrate Google Cloud Platform services for compute, data analytics, and machine learning.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/2nth-ai/skills --skill tech-google-cloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tech/google/cloud
Source: https://github.com/2nth-ai/skills/tree/main/tech/google/cloud
Command: npx skills add https://github.com/2nth-ai/skills --skill tech-google-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gcloud, cloud-run, cloud-functions, gke, bigquery, pubsub, dataflow, vertex-ai, iam, secret-manager, kms, cloud-armor, vpc, cloud-cdn, cloud-dns, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers AI by integrating with Google Cloud Platform (GCP), providing access to a wide array of cloud services for compute, data analytics, machine learning, and more.

Core Features & Use Cases

  • Compute Services: Deploy serverless containers on Cloud Run, run event-driven functions on Cloud Functions, manage Kubernetes workloads on GKE, and provision virtual machines on Compute Engine.
  • Data Analytics: Analyze large datasets in BigQuery, stream data with Pub/Sub, build and orchestrate data pipelines with Dataflow, and perform machine learning inference with Vertex AI.
  • Machine Learning: Build and deploy custom machine learning models, access pre-trained models from the Vertex AI Model Garden, and generate embeddings for search and retrieval.
  • Security and Networking: Implement IAM policies, store secrets securely, manage encryption keys, and configure VPC networking and load balancing.

Quick Start

Use the 'tech/google/cloud' skill to create a new Cloud Run service to deploy a simple Node.js application.

Frequently Asked Questions about tech/google/cloud

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

FAQPage Schema
How do I deploy a serverless container application on Cloud Run?

You can deploy serverless containers on Cloud Run by using this Skill to interface directly with the gcloud CLI. It handles the provisioning process, enabling you to quickly launch containerized applications without managing underlying infrastructure.

Can I run machine learning inference with Vertex AI and GCP?

Yes, you can run machine learning inference with Vertex AI. This Skill integrates with Vertex AI to deploy custom models, access pre-trained models from the Model Garden, and generate embeddings for search and retrieval tasks.

What's the best way to analyze large datasets in BigQuery and stream data with Pub/Sub?

The best way to analyze large datasets in BigQuery and stream data with Pub/Sub is through this Skill's GCP integration. It orchestrates data pipelines with Dataflow to process, stream, and analyze large datasets efficiently.

Do I need the gcloud CLI to manage IAM policies and VPC networking?

Yes, you need the gcloud CLI to manage IAM policies and VPC networking. This Skill requires the gcloud CLI and relevant GCP services to be enabled to implement security features, manage encryption keys, and configure load balancing.

How does GKE work with Cloud Functions for compute services?

GKE works with Cloud Functions by providing distinct compute environments managed through this Skill. GKE handles Kubernetes workloads while Cloud Functions runs event-driven functions, allowing flexible deployment strategies across Google Cloud Platform.