gcp-to-aws

gcp-to-aws is a skill for Claude Code from cline/skills. It costs 311 tokens per session (6,376 once invoked), scanned A, original, Apache-2.0.

A guide for moving applications and cloud workloads from Google Cloud Platform, a cloud-computing provider, to Amazon Web Services, another cloud-computing provider.

In plain words
What is it for?
Use it for migrations such as Cloud SQL to RDS, GKE to EKS, Cloud Run to Fargate, and for reviewing AI or agent workloads during a cloud move.
Why use it?
It helps map Google services to AWS alternatives and plan the move using infrastructure definitions, billing data, or application code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cline plugin — 43 skills shipped together

Good fit Use it for migrations such as Cloud SQL to RDS, GKE to EKS, Cloud Run to Fargate, and for reviewing AI or agent workloads during a cloud move.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cline/skills/gcp-to-aws
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 cline/skills --skill gcp-to-aws
Clone the repo
git clone --depth 1 https://github.com/cline/skills

Made for: Claude Code.

Or install cline, the plugin that ships this one along with the rest of its 43 skills.

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.

agentmods badge for gcp-to-aws

README.md
[![agentmods](https://agentmods.dev/badge/skills/cline/skills/gcp-to-aws/github.svg)](https://agentmods.dev/skills/cline/skills/gcp-to-aws)
Your own site
<a href="https://agentmods.dev/skills/cline/skills/gcp-to-aws"><img src="https://agentmods.dev/badge/skills/cline/skills/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.

agentmods 80×15 button for gcp-to-aws

Your own site · 80×15
<a href="https://agentmods.dev/skills/cline/skills/gcp-to-aws"><img src="https://agentmods.dev/badge/skills/cline/skills/gcp-to-aws.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 311 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,376 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00311 $0.06376
Opus 5 $0.00156 $0.03188
Sonnet 5 $0.00062 $0.01275
Haiku 4.5 $0.00031 $0.00638

Measured 11d ago against content hash 4cde0ad97d0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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.

skills/gcp-to-aws/SKILL.md · 365 lines

How it starts

The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GCP-to-AWS Migration Skill

Philosophy

  • Re-platform by default: Select AWS services that match GCP workload types (e.g., Cloud Run → Fargate, Cloud SQL → RDS).
  • 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 — Terraform IaC for infrastructure, billing data for service mapping, and app code for AI workload detection.
  • 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).

Definitions

  • "Load" = Read the file using the Read tool and follow its instructions. Do not summarize or skip sections.
  • $MIGRATION_DIR = The run-specific directory under .migration/ (e.g., .migration/0226-1430/). Set during Phase 1 (Discover).

Context Loading Rules

Each phase loads reference files on demand. To keep per-turn context manageable and prevent instruction-following degradation:

  • Budget: Each phase should load no more than ~800 lines of instructions (excluding user artifacts like JSON profiles and MCP tool results).
  • Conditional loading: Reference files with trigger conditions (e.g., agentic_profile.is_agentic == true) MUST NOT be loaded unless the condition is met. Do not speculatively load files.
  • No duplication: Model mapping tables, pricing data, and shared warnings exist in one canonical file. Other files reference them; they do not copy them inline.
  • Progressive depth: Phase orchestrators (design.md, generate.md) contain short routing logic that points to detailed sub-files. Load the sub-file only when its path is selected.

Read the full file on GitHub · 365 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.

  1. 11d ago First seen · 365 lines · 311 tokens per session scan A 4cde0ad97d0c

Subscribe to this mod's changes

gcp-to-aws is a skill published in the GitHub repository cline/skills (23 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 311 tokens to every session and 6,376 once invoked, about $0.0016 per session on Opus 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 2026-08-30.

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