| name | airflow-dag-generator |
| description | Generate airflow dag generator operations. Auto-activating skill for Data Pipelines.
Triggers on: airflow dag generator, airflow dag generator
Part of the Data Pipelines skill category. Use when working with airflow dag generator functionality. Trigger with phrases like "airflow dag generator", "airflow generator", "airflow".
|
| allowed-tools | Read, Write, Edit, Bash(cmd:*), Grep |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Airflow Dag Generator
Overview
This skill provides automated assistance for airflow dag generator tasks within the Data Pipelines domain.
When to Use
This skill activates automatically when you:
- Mention "airflow dag generator" in your request
- Ask about airflow dag generator patterns or best practices
- Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.
Instructions
- Provides step-by-step guidance for airflow dag generator
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage
Request: "Help me with airflow dag generator"
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
