aws/creating-api-gateway-stage

AWS のベストプラクティスに従い、CloudWatch ログ記録、X-Ray トレーシング、スロットリング、WAF 統合、IAM ロールを備えた API Gateway ステージを作成します。開発、テスト、本番などの異なる環境に REST API をデプロイする際に使用します。

creating-api-gateway-stage とは?

このスキルは、AWS API Gateway のステージを作成するための包括的なガイドを提供します。CloudWatch ログ、X-Ray トレーシング、スロットリング、WAF 統合、IAM ロールといった重要な機能を、AWS のベストプラクティスに従って自動的に構成します。REST API を開発、テスト、本番環境などにデプロイする際に、一貫性とセキュリティを確保するために役立ちます。対応プラットフォームは AWS であり、API Gateway を使用するすべての開発者や DevOps エンジニアが対象です。SKILL.md では、各機能の設定手順や注意点が詳細に説明されており、効率的な API 管理を実現します。

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ドキュメント

creating-api-gateway-stage は何をしますか?

AWS のベストプラクティスに従い、CloudWatch ログ記録、X-Ray トレーシング、スロットリング、WAF 統合、IAM ロールを備えた API Gateway ステージを作成します。開発、テスト、本番などの異なる環境に REST API をデプロイする際に使用します。

機能

  • CloudWatch ログ記録: API の呼び出しログを有効にし、エラーやレイテンシを監視します。
  • X-Ray トレーシング: リクエストのトレースを有効にし、パフォーマンスのボトルネックを特定します。
  • スロットリング: レート制限とバースト制限を設定し、API を過負荷から保護します。
  • WAF 統合: AWS WAF を関連付け、一般的な Web 攻撃から保護します。
  • IAM ロール: 必要な権限を持つ IAM ロールを作成し、セキュリティを強化します。

前提条件

  • AWS CLI がインストールされ、設定されていること。
  • 適切な IAM 権限(apigateway:*、cloudwatch:*、xray:*、waf:*、iam:*)があること。
  • 既存の REST API があること。

使用方法

  1. API Gateway ステージの作成

    aws apigateway create-stage --rest-api-id <api-id> --stage-name <stage-name> --description "<description>"
    
  2. CloudWatch ログの有効化

    aws apigateway update-stage --rest-api-id <api-id> --stage-name <stage-name> --patch-operations op=replace,path=/accessLogSettings/destinationArn,value=<log-group-arn>
    
  3. X-Ray トレーシングの有効化

    aws apigateway update-stage --rest-api-id <api-id> --stage-name <stage-name> --patch-operations op=replace,path=/tracingEnabled,value=true
    
  4. スロットリングの設定

    aws apigateway update-stage --rest-api-id <api-id> --stage-name <stage-name> --patch-operations op=replace,path=/methodSettings/*/*/throttlingRateLimit,value=<rate-limit> op=replace,path=/methodSettings/*/*/throttlingBurstLimit,value=<burst-limit>
    
  5. WAF の関連付け

    aws waf associate-web-acl --web-acl-id <waf-id> --resource-arn <api-arn>
    
  6. IAM ロールの作成

    aws iam create-role --role-name <role-name> --assume-role-policy-document file://trust-policy.json
    

注意点

  • スロットリングの値は API の使用パターンに基づいて調整してください。
  • WAF ACL は事前に作成しておく必要があります。
  • CloudWatch ロググループの保持期間を設定してコストを管理してください。
  • X-Ray トレーシングは追加料金が発生する場合があります。

例

# 開発環境のステージを作成
aws apigateway create-stage --rest-api-id abc123 --stage-name dev --description "開発環境"

# 本番環境のステージを作成
aws apigateway create-stage --rest-api-id abc123 --stage-name prod --description "本番環境"

トラブルシューティング

  • エラー: AccessDeniedException - IAM 権限が不足しています。必要な権限が付与されているか確認してください。
  • エラー: NotFoundException - API ID またはステージ名が間違っています。正しい値を指定してください。
  • WAF の関連付けに失敗する - WAF ACL と API が同じリージョンにあることを確認してください。

参考リンク

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/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.

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