Does it provide BigQuery cost management tips?

Yes, it offers patterns for setting maximum bytes billed and implementing table partitioning and clustering to significantly reduce query costs.

How does it optimize Cloud Run costs?

It provides YAML configurations to maximize container concurrency, implement scale-to-zero autoscaling, and enable CPU throttling when not processing requests.

How does this skill help with expiring GCP credits?

It calculates your daily burn rate and identifies high-value tasks, such as ML model training or dataset generation, that provide lasting value before credits expire.

Can it identify orphaned or unused GCP resources?

Yes, it includes specific CLI commands and scripts to find unused disks, unassigned static IP addresses, and idle VM instances based on CPU utilization.

GCP Resource Optimizer

Name: GCP Resource Optimizer
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Infraestructura en la Nube

Optimizes Google Cloud Platform resource allocation and manages cloud credits to maximize efficiency and reduce infrastructure spend.

GCP Resource Optimizer is a specialized Claude Code skill designed to help engineers and architects minimize GCP costs while maximizing performance. It provides actionable strategies for burning expiring credits effectively, right-sizing Compute Engine instances, configuring cost-aware Cloud Run and Storage lifecycles, and automating the cleanup of orphaned resources. By integrating budget alerts and cost-effective architectural patterns like serverless-first designs, this skill ensures that cloud deployments remain within budget without sacrificing scalability or reliability.

Características Principales

01Storage lifecycle management and BigQuery cost control configurations

02Automated cleanup scripts for unused disks, static IPs, and idle snapshots

03Serverless-first and batch-processing architecture patterns

04Automated instance right-sizing and Spot VM integration patterns

05Strategic credit burn planning and high-value usage identification

062 GitHub stars

Casos de Uso

01Transitioning stateful workloads to cost-optimized services like Cloud Run or Spot VMs

02Auditing existing infrastructure to identify and eliminate wasteful cloud spending

03Planning a new GCP deployment with a strict budget or limited cloud credits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills gcp-resource-optimizer

For use in Claude.ai and ChatGPT

Download Skill