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AWS S3 & SQS Pipeline Connector

Orchestriert AWS-Datenpipelines mit @aws-sdk/client-s3 und @aws-sdk/client-sqs. Verwaltet den S3-Objektlebenszyklus mit PutObjectCommand/GetObjectCommand, verarbeitet SQS-Nachrichtenwarteschlangen per ReceiveMessageCommand mit Long Polling und konfiguriert S3-Ereignisbenachrichtigungen an SQS für ereignisgesteuerte Verarbeitung.

Was ist AWS S3 & SQS Pipeline Connector?

Der AWS S3 & SQS Pipeline Connector ist eine KI-Agenten-Fertigkeit, die die nahtlose Orchestrierung von AWS-Datenpipelines durch die Integration von S3-Objektspeicher mit SQS-Nachrichtenwarteschlangen ermöglicht. Diese Fertigkeit unterstützt die Agent-Plattformen Claude Code, Cursor und Codex und bietet wichtige Funktionen wie das Hoch- und Herunterladen von S3-Objekten mit PutObjectCommand/GetObjectCommand, die Abfrage von SQS-Warteschlangen mit ReceiveMessageCommand und Long Polling sowie die Konfiguration von S3-Ereignisbenachrichtigungen, die automatisch Nachrichten an SQS senden. Sie ist besonders nützlich für Entwickler, die ereignisgesteuerte, serverlose Workflows erstellen möchten, bei denen S3-Änderungen sofort Aufgaben in einer Warteschlange auslösen. Die Einrichtung erfolgt über den AWS SDK für JavaScript v3 (@aws-sdk/client-s3 und @aws-sdk/client-sqs) und beinhaltet das Klonen des SDK-Repositorys, das Installieren von Abhängigkeiten mit yarn oder npm und die Konfiguration eines Node.js-Projekts mit entsprechenden IAM-Berechtigungen und AWS-Anmeldedaten.

Funktioniert mit~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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Dokumentation

Was macht AWS S3 & SQS Pipeline Connector?

Orchestriert AWS-Datenpipelines mit @aws-sdk/client-s3 und @aws-sdk/client-sqs. Verwaltet den S3-Objektlebenszyklus mit PutObjectCommand/GetObjectCommand, verarbeitet SQS-Nachrichtenwarteschlangen per ReceiveMessageCommand mit Long Polling und konfiguriert S3-Ereignisbenachrichtigungen an SQS für ereignisgesteuerte Verarbeitung.

Installation

Verwenden Sie den Upstream-Installations- oder Einrichtungspfad, der zu Ihrer Umgebung passt:

  • Lassen Sie uns ein Projekt einrichten, das von DynamoDB aus dem SDK abhängt und einen einfachen Service-Aufruf macht. Die folgenden Schritte verwenden yarn als Beispiel. Diese Schritte setzen voraus, dass Node.js und yarn bereits installiert sind.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Anforderungen und Hinweise aus dem Upstream:

Grundlegende Nutzung oder Einstiegsnotizen:

Quelle

Individual skills in this repo

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

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

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Add executable smoke tests for shell scripts and CLIs before ref

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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

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Add persistent project memory and hook-driven synthesis with Cla

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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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