GCP Skill

Provides comprehensive Google Cloud Platform capabilities for the Golden Armada AI Agent Fleet Platform.

When to Use This Skill

Activate this skill when working with:

• GKE cluster management
• Cloud Run deployments
• Cloud Storage operations
• BigQuery data analytics
• Pub/Sub messaging

gcloud CLI Quick Reference

Configuration

“`bash

Initialize

gcloud init

Authenticate

gcloud auth login gcloud auth application-default login

Set project

gcloud config set project PROJECT_ID

Check config

gcloud config list gcloud info “`

GKE (Google Kubernetes Engine)

“`bash

Create cluster

gcloud container clusters create golden-armada-cluster
–zone us-central1-a
–num-nodes 3
–machine-type e2-standard-4
–enable-autoscaling –min-nodes 1 –max-nodes 10

Get credentials

gcloud container clusters get-credentials golden-armada-cluster –zone us-central1-a

List clusters

gcloud container clusters list

Resize cluster

gcloud container clusters resize golden-armada-cluster –num-nodes 5 –zone us-central1-a

Delete cluster

gcloud container clusters delete golden-armada-cluster –zone us-central1-a “`

Cloud Run

“`bash

Deploy service

gcloud run deploy golden-armada-api
–image gcr.io/PROJECT_ID/agent:latest
–platform managed
–region us-central1
–allow-unauthenticated
–set-env-vars “ENV=production”

List services

gcloud run services list

Get service URL

gcloud run services describe golden-armada-api –platform managed –region us-central1 –format ‘value(status.url)’

Update traffic

gcloud run services update-traffic golden-armada-api
–to-revisions REVISION=100 “`

Cloud Storage

“`bash

Create bucket

gsutil mb -l us-central1 gs://golden-armada-data

Copy files

gsutil cp local-file.txt gs://bucket-name/ gsutil cp gs://bucket-name/file.txt . gsutil -m cp -r ./local-dir gs://bucket-name/

List

gsutil ls gs://bucket-name/

Sync

gsutil rsync -r ./local-dir gs://bucket-name/dir/

Set permissions

gsutil iam ch allUsers:objectViewer gs://bucket-name “`

BigQuery

“`bash

Create dataset

bq mk –dataset PROJECT_ID:agents_dataset

Create table

bq mk –table agents_dataset.agent_logs schema.json

Query

bq query –use_legacy_sql=false
‘SELECT * FROM project.dataset.table LIMIT 10′

Load data

bq load –source_format=NEWLINE_DELIMITED_JSON
agents_dataset.logs gs://bucket/logs/*.json

Export

bq extract –destination_format NEWLINE_DELIMITED_JSON
agents_dataset.logs gs://bucket/export/logs-*.json “`

Pub/Sub

“`bash

Create topic

gcloud pubsub topics create agent-events

Create subscription

gcloud pubsub subscriptions create agent-events-sub
–topic agent-events

Publish message

gcloud pubsub topics publish agent-events
–message ‘{“event”: “agent_started”, “agent_id”: “123”}’

Pull messages

gcloud pubsub subscriptions pull agent-events-sub –auto-ack “`

Python SDK

“`python from google.cloud import storage, bigquery, pubsub_v1

Cloud Storage

storage_client = storage.Client() bucket = storage_client.bucket(‘golden-armada-data’)

Upload

blob = bucket.blob(‘agents/config.json’) blob.upload_from_string(json.dumps(config))

Download

blob = bucket.blob(‘agents/config.json’) content = blob.download_as_string()

BigQuery

bq_client = bigquery.Client()

query = “”” SELECT agent_id, COUNT(*) as task_count FROM project.dataset.tasks GROUP BY agent_id ORDER BY task_count DESC “”” results = bq_client.query(query) for row in results: print(f”{row.agent_id}: {row.task_count}”)

Insert rows

table_ref = bq_client.dataset(‘agents_dataset’).table(‘logs’) errors = bq_client.insert_rows_json(table_ref, rows)

Pub/Sub Publisher

publisher = pubsub_v1.PublisherClient() topic_path = publisher.topic_path(‘project-id’, ‘agent-events’)

future = publisher.publish( topic_path, json.dumps({“event”: “task_completed”}).encode(), agent_id=”123″ ) message_id = future.result()

Pub/Sub Subscriber

subscriber = pubsub_v1.SubscriberClient() subscription_path = subscriber.subscription_path(‘project-id’, ‘agent-events-sub’)

def callback(message): print(f”Received: {message.data}”) message.ack()

streaming_pull_future = subscriber.subscribe(subscription_path, callback=callback) “`

Terraform GCP Resources

“`hcl provider “google” { project = var.project_id region = var.region }

GKE Cluster

resource “google_container_cluster” “primary” { name = “golden-armada-cluster” location = var.zone

remove_default_node_pool = true initial_node_count = 1

network = google_compute_network.vpc.name subnetwork = google_compute_subnetwork.subnet.name }

resource “google_container_node_pool” “primary_nodes” { name = “primary-node-pool” location = var.zone cluster = google_container_cluster.primary.name node_count = 3

node_config { machine_type = “e2-standard-4” oauth_scopes = [ “https://www.googleapis.com/auth/cloud-platform” ] }

autoscaling { min_node_count = 1 max_node_count = 10 } }

Cloud Run Service

resource “google_cloud_run_service” “agent_api” { name = “golden-armada-api” location = var.region

template { spec { containers { image = “gcr.io/${var.project_id}/agent:latest” env { name = “ENV” value = “production” } } } }

traffic { percent = 100 latest_revision = true } }

Cloud Storage Bucket

resource “google_storage_bucket” “data” { name = “golden-armada-data” location = var.region

uniform_bucket_level_access = true

lifecycle_rule { condition { age = 30 } action { type = “Delete” } } } “`