gcp-to-aws

Automate GCP workload migration to AWS with Terraform and cost estimates.

19|3|Updated May 17, 2026
One-click install
npx skills add https://github.com/cline/skills --skill gcp-to-aws-cline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gcp-to-aws
Source: https://github.com/cline/skills/tree/main/skills/gcp-to-aws
Command: npx skills add https://github.com/cline/skills --skill gcp-to-aws-cline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Migrating from Google Cloud Platform to AWS involves complex resource mapping, cost estimation, and artifact generation across infrastructure, AI workloads, and billing data. This skill automates the entire 6-phase migration workflow, eliminating manual guesswork and ensuring production-ready AWS architectures.

Core Features & Use Cases

  • Infrastructure Discovery: Scans Terraform IaC, application code, and GCP billing exports to inventory all resources and AI workloads.
  • Intelligent Design: Applies deterministic and rubric-based mapping to design AWS targets (Fargate, RDS, Bedrock, etc.) with availability and cost constraints.
  • AI Migration Guidance: Provides model-by-model mapping from OpenAI/Gemini/Anthropic to Amazon Bedrock, including quota planning and provider adapter generation.
  • Use Case: A startup with GCP-hosted LangChain agents and Cloud Run services can automatically generate AWS migration plans, Terraform code, and cost estimates in minutes.

Quick Start

Use the gcp-to-aws skill to migrate your GCP workloads by providing your Terraform files, application code, or billing exports and answering a few clarifying questions about your target architecture.

Frequently Asked Questions about gcp-to-aws

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I migrate GCP workloads to AWS using Terraform?

The skill discovers GCP infrastructure from Terraform files and billing exports, applies intelligent resource mapping to AWS targets like Fargate and RDS, and outputs complete Terraform configurations with cost estimates.

Can I migrate AI workloads from Gemini or OpenAI to Amazon Bedrock automatically?

AI workload migration to Amazon Bedrock is supported with model-by-model mapping from OpenAI, Gemini, or Anthropic, including quota planning and provider adapter generation for production readiness.

What GCP source artifacts do I need to start a cloud migration to AWS?

Required GCP source artifacts include Terraform IaC files, application code, or GCP billing exports, which are used to inventory resources and produce a complete AWS migration plan.

Does the GCP to AWS migration tool provide cost estimates for the target architecture?

Cost estimates for the AWS target architecture are generated by analyzing GCP billing exports and applying deterministic mapping with availability and cost constraints to the designed infrastructure.

How does infrastructure discovery work for GCP to AWS migration?

Infrastructure discovery works by scanning Terraform IaC, application code, and GCP billing exports to inventory resources, then applying deterministic and rubric-based mapping to design AWS targets.

What is the best way to map Cloud Run services to AWS during migration?

Mapping GCP Cloud Run services to AWS is handled by the intelligent design phase, which targets AWS Fargate for containerized workloads and generates production-ready Terraform configurations.