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Airflow

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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.

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  • Added June 6, 2026
devopsdockerkubernetestestingdebugginggitapidatabase

Works with

  • cli
  • api

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A100/100

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Scanned June 6, 2026

npx -y skills add bytesagain/ai-skills --skill airflow --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
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 |

Files in this skill

  • SKILL.md967 B
  • scripts/script.sh17.3 KB

Attribution

bytesagainView sourceSee grades on GitHubMore from bytesagain

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