Aws Sdk Swift Usage logo

Aws Sdk Swift Usage

OrganizationPopular
aws
aws-sdk-swift-usage

AWS SDK for Swift development patterns. Use when writing Swift code that uses AWS services via aws-sdk-swift package.

Overview

Publisheraws
Repositoryagent-toolkit-for-aws
Skill nameaws-sdk-swift-usage
Stars
2.7K
Forks
311
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aws on GitHub. Read the source before you install it.

Installation

Install the Aws Sdk Swift Usage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git /tmp/agent-toolkit-for-aws
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit-for-aws/plugins/aws-core/skills/aws-sdk-swift-usage .claude/skills/aws-sdk-swift-usage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Sdk Swift Usage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Sdk Swift Usage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Sdk Swift Usage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS SDK for Swift

Async Code Structure

All SDK operations are async. Use @main entry point:

swift
@main
struct Main {
    static func main() async throws {
        let client = try await S3Client()
        // ... async operations
    }
}

CRITICAL: Use Struct Config Types

NEVER use S3ClientConfiguration or DynamoDBClientConfiguration - these are DEPRECATED classes.

ALWAYS use the struct-based config types:

  • S3Client.S3ClientConfig (not S3ClientConfiguration)
  • DynamoDBClient.DynamoDBClientConfig (not DynamoDBClientConfiguration)
  • STSClient.STSClientConfig (not STSClientConfiguration)

Config parameters MUST be in declaration order. Region is ALWAYS required when creating a config. Check the service client source for exact order.

swift
// CORRECT - struct config
let config = try await S3Client.S3ClientConfig(region: "us-west-2")
let client = S3Client(config: config)

// WRONG - deprecated class
// let config = try await S3Client.S3ClientConfiguration(region: "us-west-2")

Client Creation

All service clients follow the same pattern: <Service>Client with <Service>Client.<Service>ClientConfig.

Model types (structs/enums used in requests/responses) are namespaced under <Service>ClientTypes:

  • S3ClientTypes.Bucket, S3ClientTypes.Object
  • DynamoDBClientTypes.AttributeValue
  • CloudWatchClientTypes.MetricDatum, CloudWatchClientTypes.Dimension
swift
import AWSS3
import AWSDynamoDB

// Simple - auto-detects region
let s3 = try await S3Client()
let dynamo = try await DynamoDBClient()

// With region
let s3 = try S3Client(region: "us-west-2")

// With config - parameters must be in declaration order
let config = try await S3Client.S3ClientConfig(
    useFIPS: true,
    awsRetryMode: .adaptive,
    maxAttempts: 5,
    region: "us-west-2"
)
let client = S3Client(config: config)

// With custom endpoint and credentials
let config = try await S3Client.S3ClientConfig(
    awsCredentialIdentityResolver: resolver,
    region: "us-west-2",
    endpoint: "https://s3.custom-endpoint.com"
)

Common config parameters (MUST follow declaration order):

  • awsCredentialIdentityResolver - Custom credentials

  • useFIPS - Enable FIPS endpoints

  • useDualStack - Enable dual-stack endpoints

  • awsRetryMode - Retry strategy (.adaptive, .standard, .legacy)

  • maxAttempts - Max retry attempts

  • region - AWS region

  • httpClientEngine - Custom HTTP client (requires HttpClientConfiguration parameter):

    swift
    import ClientRuntime
    let httpConfig = HttpClientConfiguration()
    let httpClient = URLSessionHTTPClient(httpClientConfiguration: httpConfig)
    let config = try await S3Client.S3ClientConfig(
        region: "us-east-1",
        httpClientEngine: httpClient
    )
  • endpoint - Custom endpoint URL

For service-specific config options or exact parameter order, check Sources/Services/AWS<Service>/Sources/AWS<Service>/<Service>Client.swift in the SDK.

Credential Resolvers

swift
import AWSSDKIdentity
import SmithyIdentity

// Static credentials - pass credential object directly
let creds = AWSCredentialIdentity(accessKey: "AKIA...", secret: "...")
let resolver = StaticAWSCredentialIdentityResolver(creds)

// Assume role - REQUIRES underlying resolver
let underlying = try DefaultAWSCredentialIdentityResolverChain()
let resolver = try STSAssumeRoleAWSCredentialIdentityResolver(
    awsCredentialIdentityResolver: underlying,
    roleArn: "arn:aws:iam::123456789012:role/MyRole",
    sessionName: "session-name"
)

// Use in config
let config = try await S3Client.S3ClientConfig(
    awsCredentialIdentityResolver: resolver,
    region: "us-west-2"
)

Waiters

Import SmithyWaitersAPI. WaiterOptions requires maxWaitTime parameter:

swift
import AWSS3
import SmithyWaitersAPI

let client = try await S3Client()
_ = try await client.waitUntilBucketExists(
    options: WaiterOptions(maxWaitTime: 120.0),
    input: HeadBucketInput(bucket: "my-bucket")
)

Pagination

swift
let input = ListObjectsV2Input(bucket: "my-bucket")
for try await page in client.listObjectsV2Paginated(input: input) {
    for object in page.contents ?? [] {
        print(object.key ?? "")
    }
}

Presigned URLs

swift
let url = try await client.presignedURLForGetObject(
    input: GetObjectInput(bucket: "my-bucket", key: "file.pdf"),
    expiration: 3600
)

Common Operations

swift
// Put object
_ = try await client.putObject(input: PutObjectInput(
    body: .data(data),
    bucket: "bucket",
    key: "key"
))

// Get object
let output = try await client.getObject(input: GetObjectInput(bucket: "bucket", key: "key"))
let data = try await output.body?.readData()

// List buckets
let response = try await client.listBuckets(input: ListBucketsInput())
for bucket in response.buckets ?? [] {
    print(bucket.name ?? "")
}

Frequently asked questions

What does the Aws Sdk Swift Usage AI skill do?

AWS SDK for Swift development patterns. Use when writing Swift code that uses AWS services via aws-sdk-swift package.

Why use Aws Sdk Swift Usage on TypingMind?

Because you install it once and use it with any model. Aws Sdk Swift Usage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Sdk Swift Usage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws/agent-toolkit-for-aws/tree/main/plugins/aws-core/skills/aws-sdk-swift-usage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws Sdk Swift Usage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Sdk Swift Usage?

As many as you like. As long as a model supports skills, you can use Aws Sdk Swift Usage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Sdk Swift Usage AI skill free?

Yes. It is published on GitHub by aws under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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