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streaming-data

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Build real-time data pipelines.

Software Engineering#microservices#data pipeline#real-time#streaming#kafka#spark#flink
Authorancoleman
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables the creation of robust event streaming systems and real-time data pipelines, facilitating seamless communication and data flow between applications.

Core Features & Use Cases

  • Message Broker Integration: Supports Kafka, Pulsar, Redpanda, and RabbitMQ for durable event storage and distribution.
  • Stream Processing: Enables real-time data transformation and analysis using Flink, Spark, Kafka Streams, and ksqlDB.
  • Use Case: Build a microservices architecture where events like 'order created' are published to Kafka, processed by a Flink application for real-time analytics, and then consumed by downstream services for fulfillment.

Quick Start

Use the streaming-data skill to set up a basic Kafka producer and consumer in Python.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: streaming-data
Download link: https://github.com/ancoleman/ai-design-components/archive/main.zip#streaming-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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