GCP AI Agent Directives

Google Cloud rewards automation, because its asset, IAM, and logging APIs are the same APIs an agent can drive with a handful of gcloud commands. These GCP directives turn an AI agent into a review assistant for the areas that usually get skipped: evaluating IAM recommendations into a safe revocation plan, exporting and querying asset inventory, configuring budget alerts, auditing VPC firewall rules for open ingress, hardening a GKE cluster, and mapping sink, metric, and alert coverage back to security events. The prompts are written for the agents teams already run, so cursor rules gcp and windsurf gcp rules paste straight into a rules file and produce real reports from real state. The consistent rule is read-only unless explicitly allowed, which makes these gcp directives safe to schedule for a monthly posture pass across projects. For those building a library of cursor rules gcp, gke hardening, or ai agent devops directives, this category delivers commands that return tables and prioritized findings instead of commentary. Use them per project on a schedule so each gcp estate gets the same standardized, repeatable review each cycle. They keep each gcp audit repeatable enough to hand to any agent in the same rules file and still get comparable results, which is what makes a multi-project estate actually auditable at scale.