
SST v4 for AWS
FreeExpert management of AWS resources as code with SST.
Free · Opens the source repo
What SST v4 for AWS does
SST v4 for AWS is designed for developers and engineers who need to manage AWS resources using the SST framework, which is backed by Pulumi. This skill is particularly useful when working with the sst.config.ts file, allowing users to build and edit infrastructure modules such as functions, buckets, and databases. By leveraging high-level components like sst.aws.Function and sst.aws.Bucket, this skill simplifies the process of defining and deploying AWS resources while also providing the flexibility to use raw Pulumi resources when necessary.
The skill encapsulates best practices and patterns derived from real-world projects, ensuring that users can effectively author, link, test, deploy, and troubleshoot their SST stacks. It emphasizes the importance of understanding the underlying principles of resource management and provides guidance on how to navigate the complexities of AWS infrastructure as code. Users are encouraged to refer to the provided documentation for detailed explanations of resource options and configurations, as well as to verify AWS-specific information directly from the official documentation.
When invoked, the skill guides users through various scenarios, whether they are starting a new project, wiring resources together, writing tests, or handling deployment issues. It promotes a structured approach to managing AWS resources, ensuring that changes are consistent and aligned with project conventions. By following the outlined conventions and best practices, users can avoid common pitfalls and enhance the reliability of their AWS infrastructure.
Overall, this skill is an essential tool for developers looking to streamline their AWS resource management process while adhering to proven methodologies. It is particularly suitable for those who are familiar with TypeScript and want to leverage the capabilities of the SST framework to build robust cloud applications.
When to use it
Use this skill when developing or maintaining applications with SST v4 on AWS, particularly when defining resources in TypeScript.
When not to use it
This skill is not suitable for non-AWS cloud environments or for users unfamiliar with the SST framework and TypeScript.
What you can build with it
Creating a New SST Project
Start a new project by defining your `sst.config.ts` and adding necessary AWS resources using the skill's guidance.
Linking Resources in an Existing Project
Use the skill to wire outputs from one module to another, ensuring proper IAM and SSM configurations.
Testing Infrastructure Changes
Write tests to validate your infrastructure changes, ensuring that modifications do not break existing functionality.
How to install SST v4 for AWS
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/aws-sst-development --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33SST v4 for AWS
When to Use
Use this skill when you need sST v4 (Ion) expert for managing AWS resources as code with the Pulumi-backed framework. Use when writing or editing sst.config.ts, building infra/ modules (sst.aws.Function/Bucket/Dynamo/Cron/Service/Router, sst.Secret, sst.Linkable, raw aws.* Pulumi resources), wiring resource links,...
SST v4 (the "Ion" engine) is a Pulumi-backed IaC framework: you describe AWS
resources in TypeScript and SST/Pulumi reconciles them into your account. It
gives you high-level sst.aws.* components (Function, Bucket, Dynamo, Cron,
Service, …) that expand into many underlying resources, plus an escape hatch to
any raw Pulumi aws.* resource for the long tail. This skill encodes a
production-proven way to author, link, test, deploy, and troubleshoot SST
stacks on AWS — distilled from real multi-stack projects that have paid for
each lesson with a prod incident.
SST and Pulumi are third-party — verify current syntax with Context7
(resolve-library-id → query-docs for sst or pulumi-aws) when you're
unsure about a component's options. Verify AWS-side facts (service limits,
model IDs, IAM action names, region availability) with the AWS docs MCP, never
from memory. The patterns here are the how; the docs are the what.
When you're invoked
Figure out which mode you're in and jump to the right reference:
| Situation | Go to |
|---|---|
| New project, or adding a resource/module to an existing SST app | Author → references/authoring.md |
| Wiring one module's output into another (links, SSM, IAM scope) | Author → references/authoring.md § Sharing |
| Writing tests for infra so changes don't silently break | Test → references/testing.md |
| Running a deploy, or a deploy just failed | Deploy/Operate → references/deploy-and-troubleshoot.md |
| Migrating a resource between Pulumi types, renaming a physical name | Deploy/Operate → references/deploy-and-troubleshoot.md § Migrations |
Always read the relevant reference before editing — they carry the why behind each rule, which matters more than the rule itself.
Orientation: read the repo before you touch it
SST projects are conventional but not identical. Before editing, build a quick map so your change matches the house style instead of fighting it:
sst.config.ts— the app name,home, providers/region,defaultTags, any global$transform(Node runtime pin, bundle fixups), and the order in whichrun()importsinfra/modules. The import order is the dependency order; respect it.infra/— one file per domain (storage, functions, api, observability…). This is where resources are declared. Check for aninfra/CLAUDE.md— these projects keep IaC-specific rules there, and it's the single most valuable file to read first.infra/tests/— source-level Vitest assertions that pin resource invariants. If they exist, your change must keep them green and probably needs a new assertion.package.json/.nvmrc— package manager (npm vs pnpm), Node version, and thesst/pulumiversions actually installed.
Run npx sst version to confirm you're on v4/Ion (the $config + .sst/platform/
signature). v2/v3 ("SST Classic", CDK-based) is a different framework — these
patterns don't apply there.
The conventions, and which are universal vs tunable
The projects this skill is built from share a deliberate house style. Some of it is universal (true for any SST v4 + AWS project — apply it everywhere); some is project-specific (a sensible default these projects chose — adopt it for consistency, but recognize a project may differ).
Universal — these principles hold for any SST v4 + AWS project:
- Control the Node runtime deliberately, in one place. Don't leave it to
whatever the installed SST happens to default to. The idiom is a single global
$transform(sst.aws.Function, (args) => { args.runtime ??= "nodejs24.x" })inrun()—??=is correct here (the transform runs before the component applies its own default, so it fills in only when the user didn't set one). Recent SST already defaults to a current Node runtime, so check the installed default first (Context7); the transform is then version-independence insurance so a future SST downgrade can't silently move your fleet. Seereferences/authoring.md. - Never interpolate a Pulumi
Output<T>into a plain JS template literal. Use$interpolate(orpulumi.interpolate). A bare top-level`${bucket.arn}/*`stringifies theOutputto a[Output<T>]placeholder and produces a broken ARN that only fails at deploy time (it type-checks andsst devruns fine). The fix is$interpolate`${bucket.arn}/*`. This has caused prod deploy outages. Seereferences/authoring.md§ Outputs. - Migrating a resource between Pulumi types should default to two PRs —
Pulumi creates-before-destroys, so for a uniqueness-constrained AWS name
(bucket, IAM role, gateway) the old resource still owns it and the create
fails with
ConflictException. Two sequential deploys (teardown, then recreate) is the conservative default;aliases:/pulumi import/ state surgery can bridge identity in some cases but only with a reviewed plan. Seereferences/deploy-and-troubleshoot.md§ Migrations. - Prefer typed
sst.aws.*/aws.*resources over theaws.cloudcontrol.Resourceescape hatch. CloudControl outputs are stringly-typed andoneOffields don't patch cleanly. Use it only when no typed resource exists yet, and migrate off it when one ships.
Project-specific defaults — adopt for consistency, but confirm per repo:
- Region
ap-northeast-1,home: "aws", anddefaultTagscarryingProject/Stage/ManagedBy: "sst". - Stage-gated lifecycle:
removal: stage === "prod" ? "retain" : "remove"andprotect: stage === "prod"so prod resources survive a stack tear-down and non-prod previews clean up. - SSM Parameter Store as the out-of-graph contract under a
/{app}/{stage}/{domain}/...prefix — for consumers that aren't in the Pulumi graph (CI scripts, sibling apps, operators). For same-app Lambdas, prefer SSTlink:(it wires a real dependency edge and grants IAM); don't route same-app sharing through SSM. Seereferences/authoring.md§ Sharing. - Lazy
await import("./infra/<module>")insiderun()sosst devhot-reload stays light. (For testing, a module export still runs its top-levelnew sst.aws.*unless it's wrapped in a factory function — seereferences/testing.mdfor how to test infra.) - Source-level Vitest tests on every infra module — a lightweight,
house-style regression net asserting on the source text (resource names,
index shapes, IAM scopes). It's a deliberate choice, not an SST limit: Pulumi
does support runtime mocks (
@pulumi/pulumi/runtime) for behavioral graph tests when a module has real logic. Source assertions don't replace a preview-deploy + smoke test. Seereferences/testing.md. - An observability gate: every new Lambda/queue/schedule gets an alarm and
structured logging before merge. Whether you enforce this depends on the
project, but it's cheap insurance. See
references/deploy-and-troubleshoot.md§ Observability.
When you introduce a convention, say which bucket it's in ("this is universal" vs "matching this repo's house style") so the user can override the project-specific ones deliberately.
Working rhythm
- Orient (above) — map config, modules, tests, tooling.
- Verify syntax with Context7 / AWS docs MCP if anything is non-obvious. Don't guess at a component's option name.
- Author the resource/module following
references/authoring.md. Match the surrounding file's commenting density and naming — these projects comment the why heavily, and a terse one-liner in a heavily-annotated file reads as a regression. - Test — add or update source-level assertions (
references/testing.md) and runnpx vitest(or the repo'stestscript). Runnpx sst diffand/ortsc --noEmitto catch type and plan errors before deploying. - Deploy/operate per
references/deploy-and-troubleshoot.md. Confirm the target account withaws sts get-caller-identitybefore anysst deploy. - Clean up any exported state files — they contain account IDs and ARNs and
must not linger in
/tmpor chat history.
What good looks like
- The change is the smallest diff that satisfies the requirement, in the right
infra/module, wired intorun()in dependency order. - Every Lambda gets the right runtime via the global transform (you didn't
hand-set
runtimeunless intentionally diverging — e.g. a Python function). - Cross-resource references use
link:(in-graph) and/or$interpolate-scoped IAM; outputs other tools consume are published to SSM under the stage prefix. - New infra has a matching source-level test, and the existing suite stays green.
- You confirmed AWS-side facts via the docs MCP and SST/Pulumi syntax via Context7 rather than relying on recall.
- Anything irreversible (deploy,
sst remove, a resource-type migration) was flagged to the user with the account it targets, and migrations were planned as two PRs, not one.
Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
Frequently asked questions about SST v4 for AWS
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