Is this skill suitable for AI/ML projects?

Absolutely. It offers specific guidance for Vertex AI training and serving pipelines, TPU architectures, and generative AI implementation.

Can it assist with GCP cost management?

Yes, it incorporates FinOps practices, advising on the use of Committed Use Discounts (CUDs), Sustained Use Discounts, and cost-effective resource selection.

How does it handle GCP security?

It enforces security-first principles such as Workload Identity, organization policies as guardrails, and VPC Service Controls to maintain a high security posture.

How does this skill help with GCP networking?

It provides standardized design patterns for Shared VPC, Global Load Balancing, and Cloud Interconnect to ensure a scalable and centralized network backbone.

GCP Solutions Architect

Name: GCP Solutions Architect
Author: rnavarych

byrnavarych

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Cloud Infrastructure

Architects robust, secure, and scalable Google Cloud Platform environments using the Google Cloud Architecture Framework.

The GCP Architect skill empowers Claude to act as a senior cloud architect specializing in Google Cloud Platform. It provides expert guidance on designing organizational structures, implementing complex networking like Shared VPC, and selecting optimal compute services like GKE or Cloud Run. Beyond infrastructure, it assists with sophisticated data architectures, AI/ML pipelines using Vertex AI, and comprehensive security postures through BeyondCorp and VPC Service Controls. It is designed to ensure every GCP deployment is cost-optimized, resilient, and aligned with industry-leading FinOps and security practices.

Key Features

01Comprehensive security auditing and cost optimization via FinOps principles

0211 GitHub stars

03Organization and Landing Zone design following GCP best practices

04Compute strategy optimization for GKE, Cloud Run, and serverless patterns

05Data and AI/ML architecture design using BigQuery and Vertex AI

06Advanced networking configuration including Shared VPC and Global Load Balancing

Use Cases

01Designing a secure, multi-folder organization structure with Shared VPC networking

02Architecting scalable generative AI pipelines with Vertex AI and Vector Search

03Evaluating and selecting between GKE Autopilot and Cloud Run for containerized workloads

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rnavarych/alpha-engineer gcp-architect

For use in Claude.ai and ChatGPT

Key Features

01Comprehensive security auditing and cost optimization via FinOps principles

0211 GitHub stars

03Organization and Landing Zone design following GCP best practices

04Compute strategy optimization for GKE, Cloud Run, and serverless patterns

05Data and AI/ML architecture design using BigQuery and Vertex AI

06Advanced networking configuration including Shared VPC and Global Load Balancing

Use Cases

01Designing a secure, multi-folder organization structure with Shared VPC networking

02Architecting scalable generative AI pipelines with Vertex AI and Vector Search

03Evaluating and selecting between GKE Autopilot and Cloud Run for containerized workloads