# Airflow DAG Patterns

> Use this skill when designing or reviewing Apache Airflow DAGs for scheduling, retries, task dependencies, idempotency, backfills, sensors, and production reliability.

- Skill: `chatandbuild/airflow-dag-patterns` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add chatandbuild/airflow-dag-patterns`
- Raw SKILL.md: https://api.skillmd.com/api/skills/chatandbuild/airflow-dag-patterns/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: ChatAndBuild (https://skillmd.com/u/chatandbuild)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/chatandbuild/airflow-dag-patterns

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# Airflow DAG Patterns

Help the agent provide implementation-focused guidance for Airflow DAG design and operations.

## When to Use

- The user needs help designing DAG structure, dependencies, or scheduling.
- The user asks how to improve reliability, observability, or performance.
- The user wants practical trade-offs for orchestration patterns.

## Instructions

1. Clarify workload shape, cadence, SLAs, and dependency graph.
2. Recommend DAG structure, task boundaries, and idempotency practices.
3. Suggest retries, backfills, and failure-handling strategies.
4. Include monitoring, alerting, and cost/performance considerations.
5. End with a concise rollout and validation checklist.

## Output

- Recommended DAG pattern with rationale
- Step-by-step implementation checklist
- Risks, assumptions, and validation steps