Does it support the Google Recommender API?

Yes, it includes built-in workflows for listing, reviewing, and applying recommendations from the Google Cloud Machine Type Recommender to optimize instance sizing.

Can it analyze my billing data automatically?

It provides the specific gcloud commands and SQL query patterns required to export your billing data to BigQuery and analyze it for spend anomalies and trends.

Is this skill suitable for production environments?

Yes, it is designed for DevOps and SRE teams to safely manage cloud financial health using standard gcloud CLI tools and Google Cloud best practices.

How does this skill help reduce GCP costs?

The skill identifies underutilized resources, recommends rightsizing for VM instances, and provides instructions for implementing Committed and Sustained Use Discounts.

GCP Cost Optimizer

Name: GCP Cost Optimizer
Author: armanzeroeight

byarmanzeroeight

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云基础设施

Analyzes and optimizes Google Cloud Platform expenditures by identifying rightsizing opportunities, discount eligibility, and unused resource patterns.

关于

The GCP Cost Optimizer skill empowers Claude to act as a cloud financial management (FinOps) assistant, helping teams reduce their Google Cloud bill through actionable insights and automated workflows. It provides structured guidance for exporting billing data to BigQuery, performing deep cost queries, and leveraging the Google Recommender API to identify overprovisioned instances. Whether you are looking to implement Committed Use Discounts (CUDs), deploy Preemptible VMs for fault-tolerant workloads, or clean up orphaned resources, this skill provides the precise gcloud commands and strategic best practices needed to maintain a lean, cost-efficient cloud infrastructure.

主要功能

Rightsizing recommendations via the GCP Recommender API integration
Identification of cost-saving opportunities like Preemptible VMs and storage optimization
Automated billing data export and BigQuery analysis workflows
Commitment strategy guidance for Sustained and Committed Use Discounts
Budget alert configuration and resource labeling best practices
19 GitHub stars

使用场景

Automating the detection and cleanup of unused or orphaned cloud resources across multiple projects
Analyzing historical billing data to forecast and commit to long-term usage discounts (CUDs)
Reducing monthly cloud spend by identifying and downsizing overprovisioned Compute Engine instances

关于

主要功能

Rightsizing recommendations via the GCP Recommender API integration
Identification of cost-saving opportunities like Preemptible VMs and storage optimization
Automated billing data export and BigQuery analysis workflows
Commitment strategy guidance for Sustained and Committed Use Discounts
Budget alert configuration and resource labeling best practices
19 GitHub stars

使用场景

Automating the detection and cleanup of unused or orphaned cloud resources across multiple projects
Analyzing historical billing data to forecast and commit to long-term usage discounts (CUDs)
Reducing monthly cloud spend by identifying and downsizing overprovisioned Compute Engine instances