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.