sst

Getting Started

1. Install the skill using the command above
2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
3. Reference the skill in your prompt
4. The AI will use the skill's capabilities automatically

Example Prompts

• "Deploy the latest build to the staging environment and run smoke tests"
• "Check the CI pipeline status and summarize any recent failures"

Overview

SST (Serverless Stack) is a framework for building and deploying full-stack applications on AWS with high-level constructs for Lambda, API Gateway, DynamoDB, S3, and frontend frameworks. It features live local development connected to real AWS services, type-safe resource linking, and zero-config TypeScript support.

Instructions

• When defining infrastructure, use sst.config.ts with typed components like sst.aws.Function, sst.aws.Api, sst.aws.Bucket, and sst.aws.Dynamo.
• When connecting resources, use the link property on Functions to automatically grant IAM permissions and inject environment variables, and access linked resources via Resource.Name in handlers.
• When developing locally, use sst dev which runs Lambda locally with hot reload while connected to real AWS services (DynamoDB, S3, SQS), with support for VS Code breakpoint debugging.
• When deploying, use sst deploy --stage prod for named stages, sst deploy --stage pr-${PR_NUMBER} for preview environments, and sst remove --stage dev for teardown.
• When deploying frontends, use sst.aws.Nextjs, sst.aws.Remix, or sst.aws.Astro components for SSR on Lambda with static assets on S3 + CloudFront.
• When managing secrets, use sst secret set KEY value for encrypted, stage-specific secret storage.
• When organizing code, keep handlers thin in packages/functions/ as orchestrators, and place business logic in packages/core/.

Examples

Example 1: Build a serverless API with DynamoDB

User request: "Create a REST API on AWS with DynamoDB using SST"

Actions:

1. Define DynamoDB table and API Gateway in sst.config.ts
2. Link the table to API handler functions for automatic permissions
3. Implement CRUD handlers accessing Resource.MyTable.name
4. Run sst dev for live local development against real AWS services

Output: A serverless REST API with type-safe resource access and live debugging.

Example 2: Deploy a Next.js app with preview environments

User request: "Deploy my Next.js app on AWS with per-PR preview environments"

Actions:

1. Configure sst.aws.Nextjs component with custom domain and linked resources
2. Set up CI to run sst deploy --stage pr-${PR_NUMBER} for each pull request
3. Link backend resources (API, database) to the Next.js deployment
4. Add cleanup step with sst remove when PR is closed

Output: A production Next.js deployment on AWS with isolated preview environments for each PR.

Guidelines

• Use link instead of manual IAM policies; SST generates least-privilege permissions automatically.
• Access linked resources via Resource.Name in handlers; never hardcode table names or bucket ARNs.
• Use sst dev for daily development; it is faster than deploying to AWS on every change.
• Create per-developer stages (sst dev --stage alice) so each developer gets isolated AWS resources.
• Keep handlers thin: business logic in packages/core/, handlers in packages/functions/.
• Use sst secret for API keys and credentials; they are encrypted and stage-specific.
• Set up sst deploy --stage pr-${PR_NUMBER} in CI for preview environments on every pull request.