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flink-job-creator

flink-job-creator

github.com/jeremylongshoreData & databases2.9k58 installsUpdated 2d ago
Repository

About flink-job-creator

A data-pipeline skill for creating Flink jobs. It provides step-by-step guidance, generates code and configuration, and validates outputs against common standards.

Key features

  1. 01Step-by-step job guidance
  2. 02Code and configuration generation
  3. 03Common-standard validation
  4. 04Data-pipeline best-practice recommendations

Use cases

  1. 01Creating Flink job code
  2. 02Generating job configurations
  3. 03Checking pipeline output against standards

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill flink-job-creator

After installing, type/flink-job-creatorin Claude Code to confirm it loaded.

Details

From the project README

Flink Job Creator

Overview

This skill provides automated assistance for flink job creator tasks within the Data Pipelines domain.

When to Use

This skill activates automatically when you:

  • Mention "flink job creator" in your request
  • Ask about flink job creator patterns or best practices
  • Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.

Instructions

  1. Provides step-by-step guidance for flink job creator
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with flink job creator" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of data pipelines concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering

Comments

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