airflow-dag-patterns
๐ฏSkillfrom wshobson/agents
|A production-ready plugin system with 112 AI agents, 146 skills, 16 workflow orchestrators, and 79 development tools organized into 73 focused plugins for Claude Code.
Overview
Airflow DAG Patterns is a specialized agent skill within the wshobson/agents plugin ecosystem for Claude Code. It belongs to a production-ready system of 112 specialized AI agents, 146 agent skills, and 79 development tools organized into 73 focused plugins. The skill provides expertise on Apache Airflow DAG design patterns through progressive disclosure, loading knowledge only when activated.
Key Features
- Progressive Disclosure - Loads Airflow DAG knowledge only when the skill is activated for minimal context overhead
- Data/AI Domain Expertise - Part of the data and AI category covering workflow orchestration with Apache Airflow
- Multi-Agent Orchestration - Integrates with 16 workflow orchestrators for complex data pipeline operations
- Composable Design - Can be combined with dbt, data quality, and other data engineering plugins for end-to-end data workflows
- Marketplace Installation - Available through the wshobson/agents marketplace for selective plugin installation
Who is this for?
This skill is designed for data engineers and platform teams who need AI-assisted guidance on designing and implementing Apache Airflow DAGs. It is particularly useful for teams building data pipelines with Airflow who need best practices for DAG structure, task dependencies, error handling, and scheduling patterns.
Part of
wshobson-agents
Installation
npx vibeindex add wshobson/agents --skill airflow-dag-patternsnpx skills add wshobson/agents --skill airflow-dag-patterns~/.claude/skills/airflow-dag-patterns/SKILL.mdSKILL.md
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