Apache Airflow workflow orchestration reference. Covers DAG authoring (TaskFlow API + classic), operators, sensors, connections, XComs, deployment (Docker, Kubernetes, Helm), testing, and common patterns including dynamic task mapping and data-aware scheduling.
Scanned 6/6/2026
Install via CLI
Skills Directoryopenskills install bytesagain/ai-skills---
name: airflow
version: 1.0.0
description: >
Apache Airflow workflow orchestration reference. Covers DAG authoring
(TaskFlow API + classic), operators, sensors, connections, XComs,
deployment (Docker, Kubernetes, Helm), testing, and common patterns
including dynamic task mapping and data-aware scheduling.
author: BytesAgain
homepage: https://bytesagain.com
source: https://github.com/bytesagain/ai-skills
tags: [airflow, workflow, orchestration, dag, etl, scheduling, pipeline]
---
# Apache Airflow Reference
Programmatic workflow orchestration with Airflow.
## Commands
| Command | Description |
|---------|-------------|
| `intro` | Architecture, executors, key concepts |
| `dags` | DAG authoring and scheduling |
| `operators` | Core, cloud, database operators |
| `connections` | Connections, variables, XComs |
| `deploy` | Installation and deployment |
| `testing` | Validation, debugging, CLI |
| `patterns` | ETL, branching, dynamic tasks |
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