GCP-to-AWS Migration Agent Skill

Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider.

Context cost
425.7k tokensestimated from the bundle; more than a 200k window holds
Bundle
91 files · 1730.9 kB1 script among them — read before you run
Licence
Apache-2.0the author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, migrate App Engine to Elastic Beanstalk, Google Cloud migration, migrate from OpenAI to Bedrock, move off OpenAI, switch from ChatGPT API to AWS, migrate from Gemini to Bedrock, migrate LangChain to Bedrock, migrate LangGraph to AWS, migrate agentic workloads to AWS, move AI workloads to AWS, migrate my AI app…

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

awscloudgcp
Filed under

Cloud & DevOps

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md55.5 kB · preview
--- name: gcp-to-aws ---
6# GCP-to-AWS Migration Skill
7
8The skill base directory is given in the "Base directory for this skill: X" line the
9harness emits at load time. Call it <SKILL_BASE>. The web-handoff writer lives at
10<SKILL_BASE>/scripts/emit-plan-json.py — resolve it relative to <SKILL_BASE>,
11never a plugin-root scripts/ directory, since a standalone
12npx skills add --skill gcp-to-aws install carries only this skill's own directory
13tree, not the plugin's top-level scripts/.
14
15## Philosophy
16
17- **Re-platform by default**: Select AWS services that match GCP workload types (e.g., Cloud Run → Fargate, Cloud SQL → RDS).
18- **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.
19- **Dev sizing unless specified**: Default to development-tier capacity (e.g., db.t4g.micro, single AZ). Upgrade only on user direction.
20- **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.
21- **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.
22- **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).
23
24---
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md5,275 words
Files91
LicenceApache-2.0
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈390
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
425,285
on trigger
The instruction body and 90 supporting files, read only when the skill fires.
2.1×
a 200k window
It does not fit in the window: loaded whole, it would need more room than the model has.
050k100k150k200k context window

425.7k tokens, estimated from the bundle at four bytes to the token — more than the whole window, so it cannot all be held at once: the model reads SKILL.md when the skill fires and the other files only as the instructions call for them. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

91 files, 1730.9 kB on disk. Mostly text — the instructions the model reads — with 1 script in it that your client would run only if the instructions tell it to.

  • SKILL.md55.5 kB
  • scripts/emit-plan-json.py28.2 kB
  • references/design-refs/ai-gemini-to-bedrock.md21.0 kB
  • references/design-refs/ai.md4.9 kB
  • references/design-refs/compute.md20.1 kB
  • references/design-refs/database.md9.3 kB
  • references/design-refs/elastic-beanstalk.md20.7 kB
  • references/design-refs/fast-path.md25.8 kB
  • references/design-refs/index.md7.5 kB
  • references/design-refs/messaging.md3.6 kB
  • references/design-refs/networking.md5.6 kB
  • references/design-refs/security.md4.1 kB
  • references/design-refs/storage.md4.9 kB
  • references/shared/gcp-infra-pricing-cache.md5.4 kB
  • references/shared/graviton.md11.2 kB
  • references/shared/handoff-gates.md5.3 kB
  • references/shared/migration-complexity.md13.7 kB
  • references/shared/openai-on-bedrock.md20.1 kB
  • references/shared/pricing-cache.md59.7 kB
  • references/shared/pricing-fallback.md0.9 kB
  • references/shared/report-decision-core.md39.3 kB
  • references/shared/retarget-gotchas.md11.2 kB
  • references/shared/ri-sp-eligibility.md20.6 kB
  • references/shared/schema-discover-ai.md19.2 kB
  • references/shared/schema-discover-billing.md5.2 kB
  • references/shared/schema-discover-iac.md11.8 kB
  • references/shared/schema-estimate-infra.md24.4 kB
  • references/shared/schema-graviton.md8.0 kB
  • references/shared/schema-phase-status.md4.1 kB
  • references/shared/schema-preferences.md15.4 kB
  • references/shared/schema-workshop-scenarios.md2.8 kB
  • references/shared/validate-artifacts.md7.1 kB
  • references/shared/validate-migration-report.md27.0 kB
  • references/vendored/README.md2.7 kB
  • references/clustering/terraform/classification-rules.md7.5 kB
  • references/clustering/terraform/clustering-algorithm.md8.1 kB
  • references/clustering/terraform/depth-calculation.md4.6 kB
  • references/clustering/terraform/typed-edges-strategy.md4.7 kB
  • references/phases/clarify/clarify-ai-only.md31.6 kB
  • references/phases/clarify/clarify-ai.md66.1 kB
  • references/phases/clarify/clarify-assemble.md63.4 kB
  • references/phases/clarify/clarify-compute.md23.3 kB
  • references/phases/clarify/clarify-database.md13.7 kB
  • references/phases/clarify/clarify-global.md21.4 kB
  • references/phases/clarify/clarify.md17.4 kB
  • references/phases/design/design-ai.md47.6 kB
  • references/phases/design/design-billing.md17.1 kB
  • references/phases/design/design-infra.md20.3 kB
  • references/phases/design/design.md6.9 kB
  • references/phases/discover/discover-app-code.md44.5 kB
  • references/phases/discover/discover-billing.md7.5 kB
  • references/phases/discover/discover-iac.md39.5 kB
  • references/phases/discover/discover-live.md40.7 kB
  • references/phases/discover/discover-openai-api.md20.6 kB
  • references/phases/discover/discover-preview.md39.8 kB
  • references/phases/discover/discover.md18.5 kB
  • references/phases/estimate/estimate-ai.md49.3 kB
  • references/phases/estimate/estimate-billing.md12.9 kB
  • references/phases/estimate/estimate-infra.md95.2 kB
  • references/phases/estimate/estimate.md14.4 kB
  • references/phases/feedback/feedback-trace.md4.8 kB
  • references/phases/feedback/feedback.md5.2 kB
  • references/phases/generate/generate-ai.md18.3 kB
  • references/phases/generate/generate-artifacts-ai.md35.4 kB
  • references/phases/generate/generate-artifacts-billing.md6.2 kB
  • references/phases/generate/generate-artifacts-docs.md27.9 kB
  • references/phases/generate/generate-artifacts-infra.md84.4 kB
  • references/phases/generate/generate-artifacts-report.md68.5 kB
  • references/phases/generate/generate-artifacts-scripts.md24.9 kB
  • references/phases/generate/generate-billing.md17.1 kB
  • references/phases/generate/generate-infra.md23.3 kB
  • references/phases/generate/generate.md12.1 kB
  • references/phases/workshop/workshop-assemble.md1.3 kB
  • references/phases/workshop/workshop-compare.md1.7 kB
  • references/phases/workshop/workshop-refresh.md3.4 kB
  • references/phases/workshop/workshop-sheet.md3.5 kB
  • references/phases/workshop/workshop.md3.1 kB
  • references/vendored/ai/ai-anthropic-to-bedrock.md4.0 kB
  • references/vendored/ai/ai-migration-guardrails.md10.1 kB
  • references/vendored/ai/ai-model-lifecycle.md16.4 kB
  • references/vendored/ai/ai-openai-to-bedrock.md26.6 kB
  • references/vendored/ai/bedrock-quotas.md7.6 kB
  • references/vendored/ai/design-ref-agentic-to-agentcore.md19.6 kB
  • references/vendored/ai/design-ref-harness.md8.8 kB
  • references/vendored/ai/sdk-capability-map.json1.6 kB
  • references/vendored/clarify/clarify-availability.md7.4 kB
  • references/vendored/clarify/clarify-compliance.md7.9 kB
  • references/vendored/clarify/clarify-cost-appetite.md3.2 kB
  • references/vendored/clarify/clarify-multicloud.md3.7 kB
  • references/vendored/clarify/clarify-region.md5.2 kB
  • references/vendored/workshop/workshop-invariants.md4.8 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 1 script beside the text, so the bundle is 91 files you can review in full before installing. The Apache-2.0 licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# GCP-to-AWS Migration · 425.7k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/awslabs-gcp-to-aws-migration/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/gcp-to-aws-migration" ] && { [ ! -e .claude/skills/gcp-to-aws-migration ] || { mv .claude/skills/gcp-to-aws-migration "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/gcp-to-aws-migration" .claude/skills/ && echo "Installed .claude/skills/gcp-to-aws-migration"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add awslabs/gcp-to-aws-migration

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/gcp-to-aws-migration/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/awslabs-gcp-to-aws-migration/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/gcp-to-aws-migration" ] && { [ ! -e ~/.claude/skills/gcp-to-aws-migration ] || { mv ~/.claude/skills/gcp-to-aws-migration "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/gcp-to-aws-migration" ~/.claude/skills/ && echo "Installed ~/.claude/skills/gcp-to-aws-migration" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/gcp-to-aws-migration/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as gcp-to-aws in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, gcp-to-aws-migration.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referenceawslabs/gcp-to-aws-migration

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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