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migration-to-aws

Migrate GCP and AI workloads to AWS with Terraform-based artifacts.

15|20|Updated May 11, 2026
Search Tags:#architecture#aws#infrastructure#terraform#bedrock#cloud migration#gcp migration
One-click install
npx skills add https://github.com/awslabs/startups --skill migration-to-aws
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: migration-to-aws
Source: https://github.com/awslabs/startups/tree/main/advisor/plugins/aws-startup-advisor/skills/migration-to-aws
Command: npx skills add https://github.com/awslabs/startups --skill migration-to-aws

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams migrate workloads from Google Cloud Platform and AI providers to AWS by turning complex discovery, architecture decisions, cost analysis, and migration planning into a guided workflow.

Core Features & Use Cases

  • Migration Assessment: Discover GCP infrastructure, application code, and billing signals to build a migration inventory and workload profile.
  • AWS Architecture Planning: Map services to AWS equivalents, design target architectures, estimate costs, and generate migration artifacts including Terraform configurations.
  • AI Workload Migration: Evaluate AI provider migrations such as OpenAI or Gemini to Amazon Bedrock with model selection, compatibility guidance, and validation considerations.
  • Use Case: A startup running Cloud Run services, Cloud SQL databases, and LLM-powered applications can use this Skill to create a phased AWS migration plan with infrastructure and AI migration outputs.

Quick Start

Ask the migration-to-aws skill to analyze my GCP Terraform files and create an AWS migration plan with estimated costs and generated artifacts.

Frequently Asked Questions about migration-to-aws

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

FAQPage Schema
How do I plan a GCP to AWS migration for workloads running Cloud Run and Cloud SQL?▼

To plan a GCP to AWS migration, you need to discover existing infrastructure and map services to AWS equivalents. This skill automates that phased migration planning, generating target architecture designs, cost estimates, and Terraform configurations for Cloud Run and Cloud SQL replacements.

Can I migrate AI applications from OpenAI or Gemini to Amazon Bedrock?▼

Yes, you can migrate AI applications from providers like OpenAI or Gemini to Amazon Bedrock. The skill evaluates AI workload transitions, providing model selection, compatibility guidance, and validation workflows to ensure your LLM-powered applications function correctly on AWS.

How do I convert existing Terraform files for an AWS cloud migration?▼

Converting Terraform files for an AWS cloud migration requires mapping current cloud resources to target AWS services. This skill analyzes your existing Terraform configurations to generate a migration plan with updated infrastructure-as-code artifacts and cost analysis.

Does this migration process estimate AWS costs for startup infrastructure?▼

Yes, the migration process estimates AWS costs for startup infrastructure. During the architecture planning phase, the skill maps your discovered GCP services to AWS equivalents and generates detailed cost estimations alongside your phased migration outputs.

What is the best way to generate a phased cloud migration plan from GCP to AWS?▼

The best way to generate a phased cloud migration plan is through automated workload discovery and AWS service mapping. This skill takes your GCP infrastructure inputs and produces a structured, phased migration plan with target architectures and Terraform-based migration artifacts.

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