AWS 서버리스

Lambda, API Gateway, Step Functions, EventBridge, SAM/CDK를 사용하여 AWS에서 서버리스 애플리케이션을 빌드, 배포, 관리, 디버깅, 구성 및 최적화합니다. 콜드 스타트, CORS 디버깅, 이벤트 소스 매핑, 문제 해결, 동시성, SnapStart, Powertools, 함수 URL, EventBridge Scheduler, Lambda 레이어 및 프로덕션 준비 상태를 다룹니다.

AWS 서버리스란 무엇인가요?

이 스킬은 AWS 서버리스 애플리케이션을 구축, 배포, 관리, 디버깅, 구성 및 최적화하는 데 필요한 포괄적인 기능을 제공합니다. 주요 대상 서비스로는 AWS Lambda, API Gateway, Step Functions, EventBridge, SAM(Serverless Application Model) 및 CDK(Cloud Development Kit)가 포함됩니다. 이 스킬은 콜드 스타트, CORS 디버깅, 이벤트 소스 매핑, 문제 해결, 동시성 제어, SnapStart, Powertools, 함수 URL, EventBridge Scheduler, Lambda 레이어 및 프로덕션 준비 상태와 같은 다양한 주제를 다룹니다. 이 스킬은 Lambda, API Gateway, Step Functions, SAM 템플릿, CDK 서버리스 스택, DynamoDB 스트림 트리거, SQS 이벤트 소스, 콜드 스타트, 시간 초과, 502/504 오류, 스로틀링, 동시성, CORS, Powertools 또는 AWS의 이벤트 기반 아키텍처 언급 시 자동으로 활성화됩니다. 반면, EC2, ECS/Fargate 컨테이너 또는 Amplify 호스팅에는 적용되지 않습니다. 사용자는 이 스킬을 통해 서버리스 애플리케이션의 성능 최적화, 오류 디버깅, 보안 구성 및 비용 효율적인 배포 전략을 수립할 수 있습니다.

지원 대상~Claude Code~Codex CLI~Cursor

Part ofAgent Workflows

npx skills add https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/aws-serverless

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문서

AWS 서버리스은(는) 무엇을 하나요?

AWS에서 Lambda, API Gateway, Step Functions, EventBridge, SAM/CDK를 사용하여 서버리스 애플리케이션을 빌드, 배포, 관리, 디버깅, 구성 및 최적화합니다. 콜드 스타트, CORS 디버깅, 이벤트 소스 매핑, 문제 해결, 동시성, SnapStart, Powertools, 함수 URL, EventBridge Scheduler, Lambda 레이어 및 프로덕션 준비 상태를 다룹니다. Lambda, API Gateway, Step Functions, SAM 템플릿, CDK 서버리스 스택, DynamoDB 스트림 트리거, SQS 이벤트 소스, 콜드 스타트, 시간 초과, 502/504 오류, 스로틀링, 동시성, CORS, Powertools 또는 "serverless"라는 용어가 없더라도 AWS의 이벤트 기반 아키텍처에 대한 언급 시 트리거됩니다. EC2, ECS/Fargate 컨테이너 또는 Amplify 호스팅에는 적용되지 않습니다.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

aws/amazon-bedrock

Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore. Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, 402 Payment Required, pay for content, paid endpoint, agent payments). NOT for custom model training, Rekognition, or Comprehend.

aws/aws-amplify

Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify/ directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, defineFunction, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM/CDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).

aws/aws-billing-and-cost-management

Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.

aws/aws-cdk

Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.

aws/aws-cloudformation

Author, validate, and troubleshoot AWS CloudFormation templates. Covers template authoring with secure defaults, pre-deployment validation (cfn-lint, cfn-guard, change sets), and root-cause diagnosis of failed stacks using CloudFormation events and CloudTrail correlation.

aws/aws-containers

Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.

aws/aws-iam

Verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Use alongside documentation when working with IAM roles, policies, STS, or Organizations. Do NOT use for non-IAM authorization like Cognito user-pool policies or app-level RBAC.

aws/aws-messaging-and-streaming

Guides use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Use when implementing messaging and streaming patterns.

aws/aws-observability

Builds, configures, debugs, and optimizes AWS observability using CloudWatch (Logs Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT. Covers Log Insights query syntax (fields, filter, stats, parse, pattern, join, subqueries), alarm configuration (metric, composite, anomaly detection, missing data treatment), dashboard design, custom metrics (PutMetricData, EMF, metric filters), X-Ray tracing (ADOT, sampling rules, annotations vs metadata), ADOT collector config, and CloudTrail auditing. Use when the user mentions CloudWatch, Log Insights, alarms, INSUFFICIENT_DATA, dashboards, custom metrics, EMF, X-Ray, traces, sampling, CloudTrail, who deleted, ADOT, OpenTelemetry, observability, monitoring, synthetics, canaries, or troubleshooting alarm behavior. Do NOT use for application logging setup, container log drivers, or security threat detection.

aws/aws-sdk-js-v3-usage

AWS SDK for JavaScript v3 development patterns. Use when writing JavaScript or TypeScript code that uses AWS services via @aws-sdk/* packages (aws-sdk-js-v3), or when asked about schemas, runtime validation, serialization, or code generation in the context of the JS/TS AWS SDK.

aws/aws-sdk-python-usage

AWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore. This includes creating service clients or resources, configuring sessions and credentials, handling errors with ClientError, using paginators and waiters, S3 file transfers and presigned URLs, DynamoDB table operations, and any boto3/botocore client configuration. Use this skill whenever Python code imports boto3 or botocore, or when the user asks about AWS operations in Python.

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.

aws/aws-transform

Performs code upgrades, migrations, and transformations using the AWS Transform (ATX) CLI. Use when upgrading language versions, migrating AWS SDKs, migrating frameworks (Angular, Vue.js, Spring Boot, React), upgrading libraries, optimizing performance, migrating x86 to Graviton, analyzing codebases / generating documentation, or defining custom transformations with natural language. Runs locally on a few repositories or at scale across hundreds via AWS Batch/Fargate.

aws/configuring-vpc-endpoints-for-private-aws-service-access

Configures VPC endpoints (interface and gateway) for private AWS service access using AWS PrivateLink. Use when setting up secure private connectivity to S3, DynamoDB, and other AWS services without internet gateway, NAT device, or public IP addresses. Covers endpoint creation, security groups, route tables, and DNS configuration.

aws/connecting-lambda-to-api-gateway

Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening that are easy to miss.

aws/connecting-lambda-to-dynamodb

Connects an AWS Lambda function to DynamoDB with IAM roles, stream event source mapping, and read/write permissions. Use when setting up Lambda-DynamoDB integration, processing DynamoDB stream events, or deploying serverless event-driven architectures.

aws/connecting-to-data-source

Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, configures VPC, and tests. Triggers on: connect to database, set up Glue connection, register data source, connect to Snowflake/BigQuery/RDS, connection timeout, test connection, troubleshoot connection. Do NOT use for moving data (use ingesting-into-data-lake), creating tables (use creating-data-lake-table), queries (use querying-data-lake), catalog exploration (use exploring-data-catalog), or SaaS (Salesforce, ServiceNow, SAP, MongoDB, Kafka).

aws/connecting-vpcs-with-peering

Establishes VPC peering connections between two VPCs for direct private network connectivity. Always use this skill when creating or managing VPC peering — it validates CIDR overlap, updates all route tables in both VPCs, configures DNS resolution, and provides security group guidance that are critical for correct connectivity.

aws/creating-amazon-aurora-db-cluster-with-instances

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.

aws/creating-api-gateway-stage

Creates an API Gateway stage with CloudWatch logging, X-Ray tracing, throttling, WAF integration, and IAM roles following AWS best practices. Use when deploying a REST API to different environments such as dev, test, or production.