analyzing-release-read…
Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch. Use when the user wants to analyze code changes for risk, correctness,…
Migrates vibe-coded web applications to AWS. Handles the full workflow from analysis through migration to deployment, producing deployable AWS Blocks infrastructure code. Supports full-stack apps built with vibe-coding platforms (Lovable, Bolt.new, Replit) and frontend web
$ npx -y skills add aws/agent-toolkit-for-aws --skill launch-with-aws --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/launch-with-awsContext preview
The summary Claude sees to decide when to auto-load this skill.
Migrates vibe-coded web applications to AWS. Handles the full workflow from analysis through migration to deployment, producing deployable AWS Blocks infrastructure code. Supports full-stack apps built with vibe-coding platforms (Lovable, Bolt.new, Replit) and frontend web
name: launch-with-aws description: "Migrates vibe-coded web applications to AWS. Handles the full workflow from analysis through migration to deployment, producing deployable AWS Blocks infrastructure code. Supports full-stack apps built with vibe-coding platforms (Lovable, Bolt.new, Replit) and frontend web applications and websites: React, Vue, Angular, Next.js, Nuxt, Astro, SvelteKit, Gatsby, Vite, Svelte, Solid, Docusaurus, and others (static sites, SPAs, and SSR frameworks with static export). Triggers on: launch with AWS, launch on AWS, deploy to AWS, migrate to AWS, host my app on AWS, move my app to AWS, transfer my app to AWS. Activates when the user wants to migrate a vibe-coded app or frontend web app to AWS, even if they don't say 'migrate' explicitly." metadata: version: "3"
Drives an AWS migration end-to-end using CLI scripts. Takes a user's web application, analyzes it, generates a migration plan with cost estimate, and delivers deployable [AWS Blocks](https://docs.aws.amazon.com/blocks/latest/devguide/what-is-blocks.html) infrastructure code.
The AWS MCP server is recommended but is not required. This skill works standalone via its CLI scripts in any agent environment.
All commands are run via:
python3 scripts/launch_with_aws.py <command> [args...]
where `scripts/` is relative to this skill directory. The agent MUST set the working directory to the skill root before invoking commands.
Required files: [launch_with_aws.py](scripts/launch_with_aws.py), [launch_config.py](scripts/launch_config.py), [auth.py](scripts/auth.py), [auth_callback_server.py](scripts/auth_callback_server.py), [launch_api_client.py](scripts/launch_api_client.py), [archive.py](scripts/archive.py), [service model](references/launchwithaws-2026-06-15.json). When loaded via MCP, fetch all and write to a temp directory preserving structure before invoking.
Each command outputs JSON to stdout on success, or exits non-zero with a JSON error on stderr.
Dependencies: Python 3.10+ and `boto3`. The script checks both on startup and exits with a clear error if either is missing.
Full-stack apps built with vibe-coding platforms, and frontend web applications and websites (static sites, SPAs, and SSR frameworks with static export).
| Origin Platform | What it covers | |----------------|---------------| | Lovable | Lovable-generated full-stack apps (React + Supabase) | | Bolt.new | Bolt.new-generated full-stack apps (React + Supabase) | | Replit | Replit-hosted full-stack apps (React + Express.js + PostgreSQL) |
| Framework | Examples | |-----------|---------| | React ecosystem | React, CRA, Vite + React, Gatsby, Docusaurus | | Vue ecosystem | Vue, Nuxt (static export), VitePress | | Angular | Angular | | Svelte ecosystem | Svelte, SvelteKit (static export) | | SSR with static export | Next.js, Nuxt, Astro, SvelteKit | | Other modern frameworks | Astro, Solid, Preact, Lit, Eleventy | | Vite (generic) | Any Vite-based app |
Other frameworks may also work. If the user's app doesn't match these, see **Unsupported Application Handling** below.
**Lovable / Bolt.new apps (Supabase-backed):**
| Component | What happens | |-----------|-------------| | Frontend & hosting | Migrated to AWS (S3 + CloudFront + Lambda) | | Edge functions / server functions | Migrated to AWS Lambda | | AI calls (e.g. Lovable AI Gateway) | Migrated to Amazon Bedrock | | Database (Supabase DB) | Stays on Supabase — not migrated | | Auth (Supabase Auth) | Stays on Supabase — not migrated | | Storage & Realtime | Stays on Supabase — not migrated |
The app continues to call Supabase for database, auth, storage, and realtime from the AWS-hosted application.
**Replit apps (Express.js + PostgreSQL):**
| Component | What happens | |-----------|-------------| | Frontend & hosting | Migrated to AWS (S3 + CloudFront + Lambda) | | Server logic (Express.js) | Migrated to AWS Lambda (API Gateway) | | Database (PostgreSQL) | Schema and code migrated to AWS (Aurora Serverless / DynamoDB). Existing data is NOT migrated — customers must export and import their data separately. | | Auth (Replit Auth) | Code migrated to AWS (Cognito). Existing user accounts are NOT migrated — customers must re-create or invite users in Cognito. | | Realtime (WebSockets) | Migrated to AWS (API Gateway WebSocket) | | File storage | Migrated to AWS (S3). Existing files are NOT migrated. |
Replit app infrastructure and code are migrated to AWS-native services, but existing data, user accounts, and files must be migrated separately by the customer.
Resolve the user's input to a local directory path or GitHub URL:
Run the script commands in order, surfacing results to the user at each step:
python3 scripts/launch_with_aws.py auth-start
Always run first. Returns immediately with JSON:
When `authenticated` is `false`, **immediately display the `signInUrl` to the user** (so they can open it in their browser) and call `auth-wait` in the same response:
python3 scripts/launch_with_aws.py auth-wait <pid>
where `<pid>` is the `pid` value from the `auth-start` response. This blocks until the user completes browser sign-in (or times out after
Help AI coding agents build, deploy, and manage applications on AWS. The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services.
Repo: aws/agent-toolkit-for-aws
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