gcp

Google Cloud Platform with Cloud Run, GKE, and BigQuery. Use for GCP infrastructure.

7 stars

byG1Joshi

View on GitHub Installation ↓

Best use case

gcp is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Google Cloud Platform with Cloud Run, GKE, and BigQuery. Use for GCP infrastructure.

Teams using gcp should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/gcp/SKILL.md --create-dirs "https://raw.githubusercontent.com/G1Joshi/Agent-Skills/main/skills/devops/gcp/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/gcp/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How gcp Compares

Feature / Agent	gcp	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Google Cloud Platform with Cloud Run, GKE, and BigQuery. Use for GCP infrastructure.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Google Cloud Platform (GCP)

GCP is known for its data analytics (BigQuery) and being the home of Kubernetes. 2025 highlights **Vertex AI** for rapid model deployment and **Cloud Run** for serverless everywhere.

## When to Use

- **Big Data**: BigQuery is arguably the best data warehouse for speed and ease of use.
- **Kubernetes**: GKE (Google Kubernetes Engine) often leads in features and stability (Autopilot).
- **AI**: TPU access and Vertex AI for training large models.

## Core Concepts

### Projects

The primary unit of isolation. Resources belong to a Project. Projects belong to Folders/Organization.

### Global VPC

Unlike AWS/Azure, GCP VPCs are global. Subnets are regional. A single VPC can span the world.

### IAM

Permissions are granted to Members (Users/Service Accounts) on Resources via Roles.

## Best Practices (2025)

**Do**:

- **Use Cloud Run**: The default computed choice for stateless containers. Scales to zero, fast startup.
- **Use Workload Identity**: Let GKE workloads impersonate Service Accounts securely.
- **Shared VPC**: For orgs, use a Shared VPC in a Host Project to centralize networking.

**Don't**:

- **Don't use `owner` role**: It's too broad. Use precise roles (`storage.objectViewer`).

## References

- [Google Cloud Documentation](https://cloud.google.com/docs)