
Create spark job creator operations. Auto-activating skill for Data Pipelines. Triggers on: spark job creator, spark job creator Part of the Data Pipelines skill category. Use when working with spark job creator functionality. Trigger with phrases like "spark job creator", "spark creator", "spark".
spark-job-creator follows the SKILL.md standard. Use the install command to add it to your agent stack.
--- name: "spark-job-creator" description: | Create spark job creator operations. Auto-activating skill for Data Pipelines. Triggers on: spark job creator, spark job creator Part of the Data Pipelines skill category. Use when working with spark job creator functionality. Trigger with phrases like "spark job creator", "spark creator", "spark". allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep" version: 1.0.0 license: MIT author: "Jeremy Longshore <jeremy@intentsolutions.io>" --- # Spark Job Creator ## Overview This skill provides automated assistance for spark job creator tasks within the Data Pipelines domain. ## When to Use This skill activates automatically when you: - Mention "spark job creator" in your request - Ask about spark 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 spark 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 spark 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