Claude-skill-registry gcp-cloud

Google Cloud Platform infrastructure patterns and best practices. Use when designing or implementing GCP solutions including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/gcp-cloud" ~/.claude/skills/majiayu000-claude-skill-registry-gcp-cloud && rm -rf "$T"

manifest: skills/data/gcp-cloud/SKILL.md

GCP Cloud Skill

This skill provides GCP architecture patterns and best practices.

Core Services

Service	Use Case
Compute Engine	Virtual machines
Cloud Functions	Serverless functions
Cloud Run	Containers serverless
Cloud Storage	Object storage
Cloud SQL	Managed databases
BigQuery	Data warehouse
GKE	Kubernetes

Terraform Patterns

# GKE cluster
resource "google_container_cluster" "primary" {
  name     = "my-cluster"
  location = "us-central1"

  remove_default_node_pool = true
  initial_node_count       = 1

  workload_identity_config {
    workload_pool = "${var.project_id}.svc.id.goog"
  }
}

Security Best Practices

Use Workload Identity (not service account keys)
Enable VPC Service Controls
Use Cloud IAM for access management
Enable Cloud Audit Logs
Use Customer-Managed Encryption Keys
Enable Binary Authorization for GKE

BigQuery Patterns

-- Partitioned table for cost optimization
CREATE TABLE mydataset.events
PARTITION BY DATE(event_time)
CLUSTER BY user_id
AS SELECT * FROM staging.events;

Cost Optimization

Use Committed Use Discounts
Use Preemptible VMs for batch
Enable autoscaling
Use BigQuery slot reservations
Archive to Coldline/Archive storage