Name: launch-with-aws
Author: aws

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:

Launch with AWS 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. Script Invocation All commands are run via: 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. Two global flags may be added to any command: region <region selects the region the service runs the migration in, and aws mcp url <url passes the URL of the AWS MCP server the agent is connected to. See step 2. Dependencies: Python 3.10+ and boto3 . The script checks both on startup and exits with a clear error if either is missing. Supported Application Types 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. What Gets Migrated vs. What Stays 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. Input Resolution Resolve the user's input to a local directory path: If the user provides a local path : pass that path directly. If the user provides a GitHub URL : clone the repository locally and use that directory. If neither is provided: use the current working directory. If it doesn't look like an app directory, ask the user for the path. Flow Run the script commands in order, surfacing results to the user at each step: 1. Authentication Always run first. Returns immediately with JSON: If already authenticated: {"authenticated": true, "reusedCachedSession": true, "baseUrl": "..."} If silent refresh succeeded: {"authenticated": true, "reusedCachedSession": false, "baseUrl": "..."} If interactive sign in is needed: {"authenticated": false, "signInUrl": "https://...", "pid": 12345, "port": 54321, "baseUrl": "..."} 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: where <pid is the pid value from the auth start response. This blocks until the user completes browser sign in (or times out after 600s). Returns {"authenticated": true, "baseUrl": "..."} on success. Sessions are capped at 90 days even if the identity provider does not set an expiration; after that the interactive flow is required again. To check the current session without authenticating, or to sign out: session status reports whether a session exists and how long until the token and overall session expire. sign out best effort revokes the refresh token and deletes the local ~/.launch with aws/session.json . On shared or untrusted workstations, run sign out when finished. 2. Create Launch For a local directory, present this data handling confirmation verbatim and wait for explicit approval: Your source code will be uploaded to the Launch with AWS service in [regionName], [region] ([sourceLabel]) to analyze your application and generate a migration plan. If you later approve execution, an AWS hosted agent will modify a copy of your source code according to the plan and produce a migrated snapshot for you to download. Your uploaded source code and associated launch data are encrypted in transit and at rest and retained for up to 48 hours for recovery. Your data is never used to train AI models. We exclude Git history, Git ignored files, and files matching common sensitive file patterns. Sensitive file filtering is best effort; review your project for secrets. Continue? Or reply with [otherRegions regionName] to run the migration there instead. Fill in the region fields from resolve region , verbatim, and offer each otherRegions entry as an alternative. If the agent is connected to an AWS MCP server, pass that server's URL verbatim. The script reads the region from it and decides whether it counts as a signal. Returns {"region": ..., "regionName": ..., "source": ..., "sourceLabel": ..., "baseUrl": ..., "otherRegions": [{"region": ..., "regionName": ...}]} . Do NOT call create launch until the user explicitly confirms; a missing or ambiguous response means no. Naming one of otherRegions is both a region choice and approval — pass its region as region and do not ask again. Zips the directory, uploads it, then creates the launch. Returns the full launch object including launch.launchId and the region it was created in, which becomes the user's saved default. A launch exists only in its own region — pass its region on every later command. The launch starts in analyzing status and automatically progresses through analysis and planning. 3. Poll Launch Status Poll until status is planned (ready for execution) or failed ; report any other status to the user. Key status progression: analyzing → detecting app type and dependencies planning → generating migration plan planned → ready for execution executing → deployment in progress completed → done failed → check failureReason 4. Get Full Launch Details & Confirm Get full launch details. Optional second argument is a comma separated include list: analysis , plan , execution , cost estimate , download url . Present the cost estimate and plan to the user. The costEstimate field in the response contains estimatedMonthlyCost , region , and a services breakdown with per service costs. Confirmation Gate — present and wait for explicit approval: Migration Summary App type: [detected type from analysis] Architecture: [target architecture from plan] Estimated monthly cost: $X.XX/month ([costEstimate.region] pricing) Migration runs in: [regionName], [region] Ready to proceed? This will execute the migration in an AWS managed environment (no cost to you) and produce the migrated snapshot for you to download. Do NOT call start launch execution until the user explicitly confirms. 5. Start Execution Starts deployment. Then poll with get launch status until status is completed or failed . Sleep at least 30 seconds between polls. 6. Download Always present the full download URL to the user — they may need it to download the migrated snapshot directly or for reference. 7. List or Delete Launches list launches queries both regions and returns items with a region on each launch; add region to query one. A region that cannot be reached is reported under errors instead of failing the command, unless every queried region fails, in which case the command exits with that error. 8. Post Migration: Apply Migrated Code Locally After obtaining the download URL (adapt commands for the user's platform if not POSIX): Step A: Download and unpack Step B: Prepare the local workspace Ensure the user's working directory is clean: If there are uncommitted changes, ask the user to commit or stash first. Do NOT proceed with a dirty working tree. Step C: Apply migration (3 way merge) Create a migration branch and overlay the migrated files: Review the changes with the user. Key additions to highlight: aws blocks/ — AWS Blocks infrastructure definition DEPLOY.md — deployment instructions Any modified config files If there are conflicts with the user's existing files, present them and ask how to resolve. Step D: Follow DEPLOY.md Read the DEPLOY.md file in the project root and follow its instructions to deploy the app to the user's AWS account. Typical steps: 1. AWS authentication ( aws login profile aws migrate region us east 1 ) 2. CDK bootstrap (first time only): npm install && npx cdk bootstrap 3. Deploy: npx cdk deploy all progress events 4. Verify the CloudFront URL that CDK prints on completion. Important: Always read DEPLOY.md from the migrated output — it is generated specifically for this app and architecture. Do not assume deployment steps from memory. Unsupported Application Handling If a launch fails during analysis with a failureReason indicating an unsupported app type (or the user's stack doesn't match the supported list): 1. Tell the user: "This app type isn't directly supported by Launch with AWS yet. Let me search for other skills that can help deploy this kind of application." 2. Search for relevant skills based on the app type (e.g. aws serverless , aws containers , aws database , aws deployment , aws cdk , aws ai ml ).