airflow-dag-patterns SKILL.md skillA
airflow-dag-patterns from dicklesworthstone/pi_agent_rust is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dicklesworthstone/pi_agent_rust/airflow-dag-patterns@git:20260205.788be98Pins git:20260205.788be98 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dicklesworthstone/pi_agent_rust
- Path
tests/ext_conformance/artifacts/agents-wshobson/data-engineering/skills/airflow-dag-patterns/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260205.788be98, committed Feb 5, 2026
- Size
- 14,531 bytes
- Repository stars
- 1,966
- 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 dicklesworthstone/pi_agent_rust/airflow-dag-patterns@sha256:234725a500e032cdThe line at the top of this page pins the label git:20260205.788be98, 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_fdjcvkhchqond25m)
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Versions
The registry has recorded 1 version of this file, committed on Feb 5, 2026.
Audit of the latest version
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- pass: No link to an exfiltration or paste host
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- pass: No instruction to send local credentials anywhere
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- pass: No curl or wget piped into a shell
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- pass: No instruction to read or print local credentials
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Source
dicklesworthstone/pi_agent_rust · 1,966 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fdjcvkhchqond25m GET https://markdownregistry.com/api/v1/resolve?ref=dicklesworthstone/pi_agent_rust/airflow-dag-patterns GET https://markdownregistry.com/api/v1/blob/234725a500e032cd5205b2a2d089b32d3d60175cd7239be0df5a38a0e3c24a47
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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