airflow-dag-patterns SKILL.md skillA

airflow-dag-patterns from sickn33/agentic-awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add sickn33/agentic-awesome-skills/airflow-dag-patterns@git:20260708.a07936c

Pins git:20260708.a07936c in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

sickn33/agentic-awesome-skills

Path

plugins/agentic-awesome-skills-claude/skills/airflow-dag-patterns/SKILL.md

Versions recorded

1

Latest version

git:20260708.a07936c, committed Jul 8, 2026

Size

1,797 bytes

Repository stars

49,308

License

MIT

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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.

## Limitations
…

Read the whole file at its exact version.

How to install

mdr add sickn33/agentic-awesome-skills/airflow-dag-patterns@sha256:94a41e7557ed0038

[![mdr](https://markdownregistry.com/badge/art_e75oluvhhri3r5rj.svg)](https://markdownregistry.com/a/art_e75oluvhhri3r5rj)

Versions

The registry has recorded 1 version of this file, committed on Jul 8, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_e75oluvhhri3r5rj
GET https://markdownregistry.com/api/v1/resolve?ref=sickn33/agentic-awesome-skills/airflow-dag-patterns
GET https://markdownregistry.com/api/v1/blob/94a41e7557ed0038de304d942691a6f432f6a29b82dc096e7c1f265b74fc332c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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