본문으로 건너뛰기
cccskills
무료GitHub에 공개

aws-sdk-swift-usage

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구AWS
설치 방법 보기

포함된 파일(1)

  • SKILL.md4.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

AWS SDK for Swift

Async Code Structure

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

@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.

// 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
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):

    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

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:

import AWSS3
import SmithyWaitersAPI

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

Pagination

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

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

Common Operations

// 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 ?? "")
}

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow. Triggers on: which runtime for my agent, AgentCore vs ECS vs EKS vs Lambda, AgentCore vs Lambda MicroVMs, deploy an AI agent on AWS, agent architecture on AWS, I have an agent idea what do I build, move/migrate my agents to AWS, agent migration plan, add AgentCore services (memory, gateway, identity, policy, observability) to an agent already on AWS, Temporal on AWS (migrate/run Temporal workers on AWS, a service orchestrated by Temporal, Temporal Cloud vs self-hosted). Temporal Workflow code is never rewritten into Step Functions. Requires at least one agentic component — a purely non-agent system (plain services, batch jobs, HTTP endpoints, non-agent Temporal Activities) is out of scope, redirected to gcp-to-aws / heroku-to-aws / llm-to-bedrock. Not for: compute/data migration with no AI agent; pure LLM SDK rewrite (use llm-to-bedrock); per-model pricing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: "agent not working", "wrong answer", "agent error", "tool call failing", "debug agent", "check logs", "read traces", "broken", "500 error", "424 error", "model access denied", "command not found", "stuck in DELETING", "maxVms exceeded", "cold start diagnosis", "cold start slow", "agentcore create error", "create failed", "exit code 7", "connection refused local dev". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management, rollback, and canary deployments. Triggers on: "deploy my agent", "agentcore deploy", "deploy failed", "CDK error", "rollback", "canary deploy", "pin version", "redeploy", "deploy stuck". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: "build an agent", "create an agent", "get started", "new project", "agentcore create", "which framework", "Strands vs LangGraph", "hello world agent", "first agent", "create MCP server", "host MCP server", "agentcore dev", "dev server", "what port", "local development". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aws/agent-toolkit-for-aws2.9천2026년 10월 19일 업데이트

aws의 스킬 모두 보기

이 스킬의 문제 신고