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Conector de Pipeline AWS S3 y SQS

Orquesta pipelines de datos en AWS utilizando @aws-sdk/client-s3 y @aws-sdk/client-sqs. Gestiona el ciclo de vida de objetos en S3 con PutObjectCommand/GetObjectCommand, procesa colas de mensajes SQS mediante ReceiveMessageCommand con long polling, y configura notificaciones de eventos de S3 a SQS para procesamiento dirigido por eventos.

¿Qué es Conector de Pipeline AWS S3 y SQS?

Este skill permite a un agente de IA orquestar pipelines de datos en AWS utilizando los SDKs @aws-sdk/client-s3 y @aws-sdk/client-sqs. Su propósito principal es gestionar el ciclo de vida de objetos en S3 (carga y descarga mediante PutObjectCommand y GetObjectCommand), procesar colas de mensajes SQS con long polling (ReceiveMessageCommand), y configurar notificaciones de eventos de S3 que envíen mensajes a SQS para habilitar procesamiento dirigido por eventos. Es útil para desarrolladores que construyen arquitecturas serverless, sistemas de ingesta de datos o workflows de ETL. Está diseñado para entornos Node.js modernos, soportando tanto navegadores como React Native, y se instala vía yarn o npm. El skill se basa en la documentación oficial del AWS SDK v3 y se integra sin problemas con agentes como Claude Code, Cursor o Codex, proporcionando comandos estructurados para interactuar con los servicios de AWS.

Compatible con~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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Documentación

¿Qué hace Conector de Pipeline AWS S3 y SQS?

Orquesta pipelines de datos en AWS utilizando @aws-sdk/client-s3 y @aws-sdk/client-sqs. Gestiona el ciclo de vida de objetos en S3 con PutObjectCommand/GetObjectCommand, procesa colas de mensajes SQS mediante ReceiveMessageCommand con long polling, y configura notificaciones de eventos de S3 a SQS para procesamiento dirigido por eventos.

Instalación

Utilice la ruta de instalación o configuración que coincida con su entorno:

  • Veamos cómo configurar un proyecto que dependa de DynamoDB desde el SDK y realice una llamada de servicio simple. Los siguientes pasos usan yarn como ejemplo. Estos pasos asumen que ya tiene Node.js y yarn instalados.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Requisitos y advertencias de la fuente original:

Notas de uso básico o inicio rápido:

Fuente

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

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.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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