A guided workflow for moving workloads from Google Cloud Platform (GCP), Google's cloud service, to AWS. It maps services such as Cloud Run, Cloud SQL, and GKE to AWS alternatives and can use infrastructure files, billing data, and application code.

Use it to plan migrations such as Cloud SQL to RDS, GKE to EKS, Cloud Run to Fargate, App Engine to Elastic Beanstalk, or Terraform configurations to AWS.

It helps replace a GCP environment with AWS services while checking the current setup and available evidence. This reduces guesswork when translating infrastructure, costs, and AI workloads between cloud providers.

gcp-to-aws — Skill for Claude Code by aws/agent-toolkit-for-aws

About the project

Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.

aws/agent-toolkit-for-aws · 2,886 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add aws/agent-toolkit-for-aws --skill gcp-to-aws

Clone the repo

git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws

Made for: Claude Code.

Or install aws-startup-advisor, the plugin that ships this one along with the rest of its 12 skills, 1 command, 7 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/gcp-to-aws/github.svg)](https://agentmods.dev/skills/aws/agent-toolkit-for-aws/gcp-to-aws)

Your own site

<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/gcp-to-aws"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/gcp-to-aws/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/gcp-to-aws"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/gcp-to-aws.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 233 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 11,042 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00233	$0.11042
Opus 5.5	$0.00093	$0.04417
Sonnet 5.5	$0.00047	$0.02208
Haiku 4.5	$0.00023	$0.01104

Measured 2d ago against content hash 697a979ea359, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gcp-to-aws scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

gcp-to-aws — 89% identical, 46 lines differ

plugins/aws-startup-advisor/skills/gcp-to-aws/SKILL.md · 483 lines

How it starts

The opening of the file, as written. The whole thing — 483 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GCP-to-AWS Migration Skill

Optional usage telemetry

Before starting or resuming, load references/vendored/telemetry/PROTOCOL.md and run its read-only status check. Use the returned reporting mode rather than the model's identity. Complete the existing notice exchange only when that protocol requires it; unavailable or declined telemetry never blocks this skill.

Philosophy

Re-platform by default: Select AWS services that match GCP workload types (e.g., Cloud Run → Fargate, Cloud SQL → RDS).
Extract before ask: When Terraform, billing, or app code already answers a Clarify question, resolve it with chosen_by: "extracted" and present it on the Assumption Sheet for confirmation — never re-ask it as a full question unless the user converts it ("ask me about X") or corrects it.
Dev sizing unless specified: Default to development-tier capacity (e.g., db.t4g.micro, single AZ). Upgrade only on user direction.
No human one-time migration costs: Do not present human labor, professional services, or people-time work as dollar estimates or "one-time migration cost" budget categories. Vendor charges grounded in data (for example GCP data transfer egress in the infra estimate when billing exists) are allowed.
Multi-signal approach: Design phase adapts based on available inputs — live gcloud discovery and/or Terraform IaC for infrastructure, billing data for service mapping, and app code for AI workload detection. When live and IaC both run, live is authoritative for current state and disagreements surface as drift, never silently resolved.
BigQuery / google_bigquery_*: The skill does not recommend a specific AWS analytics or warehouse service. During Clarify, if discovery shows BigQuery (IaC google_bigquery_* and/or billing rows for BigQuery), you must surface the specialist advisory before Design (see references/phases/clarify/clarify.md). Design output uses Deferred — specialist engagement; keep directing the user to their AWS account team and/or a data analytics migration partner through Design, Estimate, and docs (see references/phases/design/design-infra.md BigQuery specialist gate).

Read the full file on GitHub · 483 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago Changed · +2 lines 697a979ea359
6d ago Changed f0009afac6a2
8d ago Changed · +13 lines 68f5891cd63e
10d ago Changed 7898b1d33bc0
14d ago Changed 806099a9b432
15d ago Changed 256eeaddc946
16d ago Changed 9df59ef9b681
20d ago First seen · 468 lines · 233 tokens per session scan A 769afa76b14e

Subscribe to this mod's changes

gcp-to-aws is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,886 stars, last pushed yesterday), licensed Apache-2.0. It adds 233 tokens to every session and 11,042 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-26.

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