What problem does it solve? Cloud bills grow silently through oversized VMs, idle disks, wrong storage classes, and unplanned credit expiration. This Skill provides concrete gcloud commands, BigQuery billing queries, and architecture patterns to reduce GCP spend and extract maximum value from credits before they expire. ## Core Features & Use Cases - Credit Burn Planning: Calculate required daily spend from expiring credits and prioritize lasting-value workloads like model training and dataset generation over ephemeral compute. - Cost Optimization Patterns: Right-size Compute Engine instances, configure Cloud Run scale-to-zero, apply Cloud Storage lifecycle rules, and control BigQuery bytes billed. - Billing Analysis: Ready-to-run BigQuery queries for cost by service, SKU, project, and label, plus anomaly detection and credit burn forecasting. - Use Case: You have $5,000 in GCP credits expiring in 45 days. Use this Skill to compute the required daily burn rate, identify high-value workloads to run, and set budget alerts at 50%, 90%, and 100% thresholds. ## Quick Start Ask the assistant to analyze your GCP project's current spend and recommend right-sized instances and storage classes to reduce next month's bill.
