airflow-dag-patterns SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
airflow-dag-patterns from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fridrichmethod/awesome-skills/airflow-dag-patterns@git:20260524.1fee1b9Pins git:20260524.1fee1b9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fridrichmethod/awesome-skills
- Path
skills/airflow-dag-patterns/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260524.1fee1b9, committed May 24, 2026
- First version recorded
- May 17, 2026
- Size
- 3,135 bytes
- Repository stars
- 15
- License
- a license file GitHub does not identify
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. ## When to Use This Skill - 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 ## Core Concepts ### 1. DAG Design Principles | Principle | Description | | --------------- | ----------------------------------- | | **Idempotent** | Running twice produces same result | | **Atomic** | Tasks succeed or fail completely | | **Incremental** | Process only new/changed data | | **Observable** | Logs, metrics, alerts at every step | ### 2. Task Dependencies ```python # Linear task1 >> task2 >> task3 # Fan-out task1 >> [task2, task3, task4] # Fan-in [task1, task2, task3] >> task4 # Complex task1 >> task2 >> task4 task1 >> task3 >> task4 ``` ## Quick Start ```python # dags/example_dag.py from datetime import datetime, timedelta from airflow import DAG from airflow.operators.python import PythonOperator …
Read the whole file at its exact version.
How to install
mdr add fridrichmethod/awesome-skills/airflow-dag-patterns@sha256:99cf58e6d32b977eThe line at the top of this page pins the label git:20260524.1fee1b9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_cj2c54svegkltotb)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between May 17, 2026 and May 24, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260524.1fee1b9 latest | 2026-05-24 | 1fee1b9 | 3,135 B | A | view · diff |
| git:20260517.ff23801 | 2026-05-17 | ff23801 | 14,305 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3135 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cj2c54svegkltotb GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/airflow-dag-patterns GET https://markdownregistry.com/api/v1/blob/99cf58e6d32b977e02a9c7ae2ed0ae4894e24ece95260134ac22925497c2a732
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.
More from fridrichmethod/awesome-skills
Every file in fridrichmethod/awesome-skills