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AWS S3 & SQS パイプラインコネクタ

@aws-sdk/client-s3 と @aws-sdk/client-sqs を使用してAWSデータパイプラインをオーケストレーションします。PutObjectCommand/GetObjectCommand でS3オブジェクトのライフサイクルを管理し、ReceiveMessageCommand とロングポーリングでSQSメッセージキューを処理し、S3イベント通知をSQSに設定してイベント駆動型処理を実現します。

AWS S3 & SQS パイプラインコネクタ とは？

このスキルは、AWS SDK for JavaScript v3 のクライアントライブラリ（@aws-sdk/client-s3 および @aws-sdk/client-sqs）を活用して、信頼性の高いイベント駆動型データパイプラインを構築するためのツールです。開発者は、S3 へのオブジェクトのアップロード・取得、SQS キューからのメッセージ受信（ロングポーリング対応）、および S3 バケットイベントを SQS キューにルーティングする通知設定を、単一のスキルで統一して行えます。AWS Lambda、EC2、または任意のNode.js環境で動作し、バッチ処理、ログ集約、データレイク更新などのワークロードに最適です。インストールは yarn や npm で @aws-sdk/client-s3 と @aws-sdk/client-sqs を追加し、標準のAWS認証設定を行うだけで完了します。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-s3-sqs-pipeline-connector
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ドキュメント

AWS S3 & SQS パイプラインコネクタ は何をしますか？

@aws-sdk/client-s3 と @aws-sdk/client-sqs を使用してAWSデータパイプラインをオーケストレーションします。PutObjectCommand/GetObjectCommand でS3オブジェクトのライフサイクルを管理し、ReceiveMessageCommand とロングポーリングでSQSメッセージキューを処理し、S3イベント通知をSQSに設定してイベント駆動型処理を実現します。

インストール

お使いの環境に合わせたアップストリームのインストールまたはセットアップパスを使用してください：

  • SDKからDynamoDBに依存するプロジェクトを設定し、簡単なサービスコールを行う手順を見ていきましょう。以下の手順では、yarnを例として使用します。これらの手順は、Node.js と yarn が既にインストールされていることを前提としています。
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

アップストリームからの要件と注意点：

基本的な使用方法またはスタートガイドの注意点：

ソース

Individual skills in this repo

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

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ACF Extended for Advanced Custom Fields Workflows

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act Local GitHub Actions Runner

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Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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