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migration to aws — Agent Skill

by awslabs · Updated

Plan a migration from Google Cloud Platform (and OpenAI/Gemini AI workloads) to AWS. Analyzes your Infrastructure-as-Code files, app code, and GCP billing data to discover resources, design an AWS architecture, estimate costs, and generate migration artifacts — including AI-provider mapping to Amazon Bedrock. Processi…

At a glance

migration-to-aws is an Agent Skill by awslabs in the Design & Creative category. In Claude Code it installs with `/plugin install migration-to-aws@claude-plugins-official` after adding the anthropics/claude-plugins-official marketplace; other assistants use its SKILL.md instructions as rules. Its source repository has 25 GitHub stars (as of Oct 28, 2026).

Source 25GitHub stars

How to install migration to aws in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install migration to aws in Claude CodeAnthropic's agentic CLI

  1. Add the marketplace

    claude
    /plugin marketplace add anthropics/claude-plugins-official
  2. Install the skill

    claude
    /plugin install migration-to-aws@claude-plugins-official
  3. Use it

    These are slash commands for a Claude Code session, not your shell. Claude auto-invokes the skill when your request matches its description — or type its slash command if it exposes one.

Documentation

Full README

Agent Skills for AWS Migration

[!IMPORTANT] This plugin has moved and was folded into another plugin. Its skills now ship inside **`aws-startup-advisor`** in aws/agent-toolkit-for-aws. There is no migration-to-aws plugin in the Agent Toolkit — install aws-startup-advisor and you get all of these skills. migration-to-aws is no longer maintained here and receives no further updates of any kind — no new features, no fixes. ``bash /plugin marketplace add aws/agent-toolkit-for-aws /plugin install aws-startup-advisor@agent-toolkit-for-aws `` Every install command in the Installation section below points at this unmaintained copy. See the repository README for the full mapping.

AI agent skills for migrating workloads to AWS, built for Claude Code, Codex, and Cursor.

What This Does

Point this plugin at your Heroku account (via your authenticated Heroku CLI, read-only and consent-gated), your Terraform files, application code, or billing data. It runs a structured 6-phase assessment — discovering what you have, asking the right questions, designing the AWS architecture, estimating costs with real pricing data, and generating runnable migration artifacts.

Supported migration sources:

  • GCP → AWS — Cloud Run, Cloud SQL, GKE, Cloud Functions, Pub/Sub, Cloud Storage, VPC, and AI/agentic workloads
  • Heroku → AWS — Dynos, Postgres, Redis, Kafka, Private Spaces, Pipelines, and 13+ common add-ons

For infrastructure migrations:

  • Maps your resources to AWS equivalents — Cloud Run → Fargate, Cloud SQL → RDS or Aurora, Dynos → Elastic Beanstalk, Heroku Postgres → RDS/Aurora, and more
  • Generates production-ready Terraform — vpc.tf, compute.tf, database.tf, security.tf, baseline.tf with account-wide security controls (GuardDuty, CloudTrail, IMDSv2, ECR scanning), and a full terraform/README.md
  • Selects the right database migration tool — pg_dump for small databases, pgcopydb for parallel copy at scale, AWS DMS for zero-downtime migrations — based on your actual database size
  • Produces numbered migration scripts — prerequisites validation, data migration, container image migration, secrets migration, and post-migration validation
  • Estimates costs across three tiers — Premium, Balanced, and Optimized — using real-time AWS pricing, compared against your current spend

For AI and agentic migrations:

  • Detects your entire AI stack — not just "you use GPT-4o" but your agents, tools, orchestration patterns, memory layers, and multi-model pipelines
  • Recommends three migration paths for agentic workloads: retarget (keep your framework, swap models), AgentCore Harness (config-based managed agents), or Strands Agents (AWS-native multi-agent SDK)
  • Gives honest pricing comparisons — finds the best Bedrock option for your workload with current pricing data, including side-by-side cost comparisons against your existing OpenAI/Gemini spend
  • Generates runnable AI artifacts — harness.json, provider adapters, deployment scripts, incremental migration scripts — tailored to your specific models, tools, and architecture

What You Get That a Base LLM Can't Give You

Infrastructure:

| Capability | Base LLM | This Plugin | | -------------------------- | --------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Terraform generation | Generic templates | Your actual config translated — instance classes, storage sizes, region, VPC CIDRs, security groups | | Security baseline | Not included | baseline.tf always emitted by both gcp-to-aws and heroku-to-aws Generate: GuardDuty, CloudTrail, IMDSv2, EBS encryption, budget alerts; ECR scan-on-push where ECR repositories are generated | | Database migration tooling | "Use DMS" | Selects pg_dump / pgcopydb / DMS based on your actual database size; generates the right script | | Cost estimation | Stale guesses | Three-tier pricing (Premium/Balanced/Optimized) using live AWS Pricing API, compared to your current bill | | Migration plan | Generic checklist | Phased timeline with Go/No-Go gates, rollback procedures, and data integrity checks | | Migration report | Generic summary or missing detail | migration-report.html with cost tiers, security baseline (GuardDuty, etc.), combined TCO, and appendices — validated for structural completeness |

Excerpt — the full document is on GitHub.

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