AgentSkillsCN

airflow-dag-patterns

按照操作符、传感器、测试和部署的最佳实践构建生产级 Apache Airflow DAG。适用于创建数据管道、编排工作流或调度批处理作业时使用。

SKILL.md
--- frontmatter
name: airflow-dag-patterns
description: |-
  Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
risk: safe
source: community
license: MIT

Apache Airflow DAG Patterns

Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.

Use this skill when

  • •Creating data pipeline orchestration with Airflow
  • •Designing DAG structures and dependencies
  • •Implementing custom operators and sensors
  • •Testing Airflow DAGs locally
  • •Setting up Airflow in production
  • •Debugging failed DAG runs

Do not use this skill when

  • •You only need a simple cron job or shell script
  • •Airflow is not part of the tooling stack
  • •The task is unrelated to workflow orchestration

Instructions

  1. •Identify data sources, schedules, and dependencies.
  2. •Design idempotent tasks with clear ownership and retries.
  3. •Implement DAGs with observability and alerting hooks.
  4. •Validate in staging and document operational runbooks.

Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.

Safety

  • •Avoid changing production DAG schedules without approval.
  • •Test backfills and retries carefully to prevent data duplication.

Resources

  • •resources/implementation-playbook.md for detailed patterns, checklists, and templates.

When to Use

  • •Use this skill when you need for functional programming or specific domain tasks.