
Flink Job Creator
- 57 installs
- 2.6k repo stars
- Updated August 5, 2026
- jeremylongshore/claude-code-plugins-plus-skills
Create Apache Flink stream-processing jobs as part of data pipeline work.
About
Provides guidance for creating Apache Flink jobs within a data pipeline context. A developer uses it when building streaming data processing jobs.
- Auto-activates on Flink job requests
- Part of the data pipelines skill category
Flink Job Creator by the numbers
- 57 all-time installs (skills.sh)
- Ranked #393 of 911 Databases skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill flink-job-creatorAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 57 |
|---|---|
| repo stars | ★ 2.6k |
| Last updated | August 5, 2026 |
| Repository | jeremylongshore/claude-code-plugins-plus-skills ↗ |
What it does
Create Apache Flink stream-processing jobs as part of data pipeline work.
Files
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
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify 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