Agent skill
using-cloud-cli
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.
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Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/devops/using-cloud-cli-alexei-led-claude-code-config-65e71ad3
SKILL.md
Cloud CLI Patterns
Credentials are pre-configured. Use --help or Context7 for syntax.
BigQuery
bash
# 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)
bash
# 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
bash
# 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 ...
References
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