| name | using-cloud-cli |
| description | Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices. |
| allowed-tools | Read, Bash, Grep, Glob |
Cloud CLI Patterns
Credentials are pre-configured. Use --help or Context7 for syntax.
BigQuery
# Always estimate cost first
bq query --dry_run --use_legacy_sql=false 'SELECT ...'
# Run query
bq query --use_legacy_sql=false --format=json 'SELECT ...'
# List tables
bq ls project:dataset
# Get table schema
bq show --schema --format=json project:dataset.table
Cost awareness: Charged per bytes scanned. Use --dry_run, partition tables, specify columns.
GCP (gcloud)
# List resources
gcloud compute instances list --format=json
# Describe resource
gcloud compute instances describe INSTANCE --zone=ZONE --format=json
# Create with explicit project
gcloud compute instances create NAME --project=PROJECT --zone=ZONE
# Use --quiet for automation
gcloud compute instances delete NAME --quiet
AWS
# List resources
aws ec2 describe-instances --output json
# With JMESPath filtering
aws ec2 describe-instances --query 'Reservations[].Instances[].InstanceId' --output text
# Explicit region
aws s3 ls s3://bucket --region us-west-2
# Dry run where available
aws ec2 run-instances --dry-run ...