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Emulated AWS cloud services (S3, SQS, Cognito, IAM, STS) for local development and testing. Use when the user needs to interact with AWS API endpoints locally, test S3 bucket and object operations, emulate SQS queues and messages, test Cognito sign-up, sign-in, JWTs, or Identity

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emulate
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$ npx -y skills add vercel-labs/emulate --skill aws --agent claude-code

SKILL.md

aws.SKILL.md
name: aws
description: Emulated AWS cloud services (S3, SQS, Cognito, IAM, STS) for local development and testing. Use when the user needs to interact with AWS API endpoints locally, test S3 bucket and object operations, emulate SQS queues and messages, test Cognito sign-up, sign-in, JWTs, or Identity Pools, manage IAM users/roles/access keys, test STS assume role, or work without hitting real AWS APIs. Triggers include "AWS emulator", "emulate AWS", "mock S3", "local SQS", "test IAM", "emulate S3", "AWS locally", "STS assume role", or any task requiring local AWS service emulation.
allowed-tools: Bash(npx emulate:*), Bash(curl:*)

AWS Emulator

S3, SQS, Cognito, IAM, and STS emulation with AWS SDK-compatible S3 paths. S3 uploads and downloads preserve arbitrary binary payloads, including raw byte lengths and ETags. SQS supports AWS JSON 1.0 and XML Query protocols; IAM and STS use XML Query. All state is in-memory.

Start

Local listeners bind to `127.0.0.1` by default. For access from containers or other machines, pass `--host 0.0.0.0` to the CLI or `hostname: '0.0.0.0'` to `createEmulator`. Configure `--base-url` or `baseUrl` for advertised URLs reachable by those clients.

# AWS only
npx emulate --service aws

# Default port (when run alone)
# http://localhost:4000

Or programmatically:

import { createEmulator } from 'emulate'

const aws = await createEmulator({ service: 'aws', port: 4006 })
// aws.url === 'http://localhost:4006'

Auth

Pass tokens as `Authorization: Bearer <token>`. Scoped permissions use `s3:*`, `sqs:*`, `iam:*`, `sts:*` patterns.

curl http://localhost:4006/ \
  -H "Authorization: Bearer test_token_admin"

Pointing Your App at the Emulator

Environment Variable

AWS_EMULATOR_URL=http://localhost:4006

AWS SDK v3

import { S3Client } from '@aws-sdk/client-s3'

const s3 = new S3Client({
  endpoint: process.env.AWS_EMULATOR_URL,
  region: 'us-east-1',
  credentials: {
    accessKeyId: 'AKIAIOSFODNN7EXAMPLE',
    secretAccessKey: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
  },
  forcePathStyle: true,
})
import { SQSClient } from '@aws-sdk/client-sqs'

const sqs = new SQSClient({
  endpoint: `${process.env.AWS_EMULATOR_URL}/sqs`,
  region: 'us-east-1',
  credentials: {
    accessKeyId: 'AKIAIOSFODNN7EXAMPLE',
    secretAccessKey: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
  },
})
import { IAMClient } from '@aws-sdk/client-iam'

const iam = new IAMClient({
  endpoint: `${process.env.AWS_EMULATOR_URL}/iam`,
  region: 'us-east-1',
  credentials: {
    accessKeyId: 'AKIAIOSFODNN7EXAMPLE',
    secretAccessKey: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
  },
})

Seed Config

aws:
  region: us-east-1
  s3:
    buckets:
      - name: my-app-bucket
      - name: my-app-uploads
        region: eu-west-1
  sqs:
    queues:
      - name: my-app-events
      - name: my-app-dlq
        visibility_timeout: 60
      - name: my-app-orders.fifo
        fifo: true
  iam:
    users:
      - user_name: developer
        create_access_key: true
      - user_name: readonly-user
    roles:
      - role_name: lambda-execution-role
        description: Role for Lambda function execution
        assume_role_policy: '{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":{"Service":"lambda.amazonaws.com"},"Action":"sts:AssumeRole"}]}'

Default seed (always created): S3 bucket `emulate-default`, SQS queue `emulate-default-queue`, IAM user `admin` with access key pair (`AKIAIOSFODNN7EXAMPLE` / `wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY`).

API Endpoints

S3

S3 routes use root paths matching the real AWS S3 wire format. Legacy `/s3/` prefixed paths are also supported.

# List all buckets
curl http://localhost:4006/ \
  -H "Authorization: Bearer $TOKEN"

# Create bucket
curl -X PUT http://localhost:4006/my-bucket \
  -H "Authorization: Bearer $TOKEN"

# Delete bucket (must be empty)
curl -X DELETE http://localhost:4006/my-bucket \
  -H "Authorization: Bearer $TOKEN"

# Head bucket (check existence, get region)
curl -I http://localhost:4006/my-bucket \
  -H "Authorization: Bearer $TOKEN"

# List objects (with prefix, delimiter, pagination)
curl "http://localhost:4006/my-bucket?prefix=uploads/&delimiter=/&max-keys=100" \
  -H "Authorization: Bearer $TOKEN"

# Put object
curl -X PUT http://localhost:4006/my-bucket/path/to/file.txt \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: text/plain" \
  -H "x-amz-meta-author: test" \
  --data-binary "file contents"

# Get object
curl http://localhost:4006/my-bucket/path/to/file.txt \
  -H "Authorization: Bearer $TOKEN"

# Head object (metadata only)
curl -I http://localhost:4006/my-bucket/path/to/file.txt \
  -H "Authorization: Bearer $TOKEN"

# Delete object
curl -X DELETE http://localhost:4006/my-bucket/path/to/file.txt \
  -H "Authorization: Bearer $TOKEN"

# Copy object
curl -X PUT http://localhost:4006/dest-bucket/copy.txt \
  -H "Authorization: Bearer $TOKEN" \
  -H "x-amz-copy-source: /source-bucket/original.txt"

SQS

Current AWS SDK clients use the `/sqs` endpoint shown above. SQS accepts AWS JSON 1.0 requests at `POST /sqs/` with `Content-Type: application/x-amz-json-1.0` and `X-Amz-Target: AmazonSQS.<Action>`, returning JSON results and errors. XML Query requests with an `Action` form parameter remain supported. Queue operations also accept the returned `QueueUrl` as the endpoint.

# List queues using AWS JSON 1.0
curl -X POST http://localhost:4006/sqs/ \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/x-amz-json-1.0" \
  -H "X-Amz-Target: AmazonSQS.ListQueues" \
  -d '{}'
# Create queue
curl -X POST http://localhost:4006/sqs/ \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "Action=CreateQueue&QueueName=my-queue"

# Create queue with attributes
curl -X POST
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Questions about aws.

Which coding agents can use aws?
aws installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.