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aws/aws-transform

AWS Transform(ATX) CLI를 사용하여 코드 업그레이드, 마이그레이션 및 변환을 수행합니다. 언어 버전 업그레이드, AWS SDK 마이그레이션, 프레임워크 마이그레이션(Angular, Vue.js, Spring Boot, React), 라이브러리 업그레이드, 성능 최적화, x86에서 Graviton으로 마이그레이션, 코드베이스 분석/문서 생성, 또는 자연어를 사용한 사용자 정의 변환 정의 시 사용하세요. 소수의 리포지토리에서 로컬로 실행하거나 AWS Batch/Fargate를 통해 수백 개의 리포지토리로 확장하여 실행할 수 있습니다.

aws-transform란 무엇인가요?

이 스킬은 AWS Transform(ATX) CLI를 활용하여 코드 변환, 마이그레이션, 업그레이드를 자동화하는 개발자 도구입니다. 다양한 언어 버전 업그레이드(예: Java 11→17), AWS SDK 마이그레이션, 주요 프레임워크(Angular, Vue.js, Spring Boot, React) 간 마이그레이션, 라이브러리 업데이트, 성능 최적화, x86 아키텍처에서 ARM Graviton으로의 이전, 코드베이스 분석 및 문서 생성 등 여러 시나리오에서 사용할 수 있습니다. 자연어로 변환 규칙을 정의할 수 있어 복잡한 변환 작업을 직관적으로 처리할 수 있습니다. 소규모 리포지토리에서는 로컬 환경에서 실행하고, 대규모 환경에서는 AWS Batch 또는 Fargate를 통해 수백 개의 리포지토리를 동시에 처리할 수 있어 확장성이 뛰어납니다. GitHub Actions, AWS CodePipeline, Jenkins 등 CI/CD 플랫폼과 통합되어 파이프라인 내에서 자동화된 변환 단계로 활용할 수 있습니다.

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

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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

aws-transform은(는) 무엇을 하나요?

AWS Transform(ATX) CLI를 사용하여 코드 업그레이드, 마이그레이션 및 변환을 수행합니다. 언어 버전 업그레이드, AWS SDK 마이그레이션, 프레임워크 마이그레이션(Angular, Vue.js, Spring Boot, React), 라이브러리 업그레이드, 성능 최적화, x86에서 Graviton으로 마이그레이션, 코드베이스 분석/문서 생성, 또는 자연어를 사용한 사용자 정의 변환 정의 시 사용하세요. 소수의 리포지토리에서 로컬로 실행하거나 AWS Batch/Fargate를 통해 수백 개의 리포지토리로 확장하여 실행할 수 있습니다.

주요 사용 사례

  • 언어 버전 업그레이드: Python 3.9→3.12, Java 11→17 등
  • AWS SDK 마이그레이션: AWS SDK v1에서 v2/v3으로 업그레이드
  • 프레임워크 마이그레이션: Angular, Vue.js, Spring Boot, React 간 마이그레이션
  • 라이브러리 업그레이드: 주요 라이브러리를 최신 호환 버전으로 업데이트
  • 성능 최적화: 코드 패턴을 더 효율적인 구현으로 자동 변환
  • 아키텍처 변환: x86에서 AWS Graviton(ARM)으로 마이그레이션
  • 코드 분석 및 문서화: 코드베이스 분석 및 문서 생성
  • 사용자 정의 변환: 자연어로 원하는 변환 정의

시작하기

  1. AWS Transform CLI 설치:

    pip install aws-transform-cli
    
  2. 기본 변환 실행:

    atx transform --source ./my-repo --transform java-11-to-17
    
  3. 대규모 변환 (AWS Batch/Fargate 사용):

    atx batch --source ./repos --transform angular-to-react --mode fargate
    

CI/CD 통합

ATX CLI는 다음과 같은 CI/CD 파이프라인에 통합 가능합니다:

  • GitHub Actions: 워크플로우 단계로 변환 작업 추가
  • AWS CodePipeline: 빌드 단계에서 자동 실행
  • Jenkins: 파이프라인 스크립트에 포함

추가 리소스

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-serverless

Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK. Covers cold starts, CORS debugging, event source mappings, troubleshooting, concurrency, SnapStart, Powertools, function URLs, EventBridge Scheduler, Lambda layers, and production readiness. Triggers on mentions of Lambda, API Gateway, Step Functions, SAM templates, CDK serverless stacks, DynamoDB stream triggers, SQS event sources, cold starts, timeouts, 502/504 errors, throttling, concurrency, CORS, Powertools, or any event-driven architecture on AWS, even without the word "serverless." Does not apply to EC2, ECS/Fargate containers, or Amplify hosting.

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.

관련 스킬