airflow-dag-generator

Name: airflow-dag-generator
Author: jeremylongshore

github.com/jeremylongshoreData & databases2.9k38 installsUpdated 2d ago

About airflow-dag-generator

airflow-dag-generator is a skill for guidance on Airflow DAG generation in data pipeline work. It provides step-by-step advice, generates code and configurations, and validates outputs against common standards.

Key features

01Step-by-step DAG guidance
02Code and configuration generation
03Best-practice recommendations
04Output validation

Use cases

01Create Airflow DAG code
02Generate data pipeline configurations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator

After installing, type/airflow-dag-generatorin Claude Code to confirm it loaded.

Details

From the project README

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

Comments

Markdown supported

Details

Author: jeremylongshore
Repository: jeremylongshore/tons-of-skills-marketplace
Category: Data & databases
Installs: 38
GitHub stars: 2,885

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