Overview
airflow-dag-patterns is an open-source workflow skill for Claude Code and compatible agents, published by wshobson. Its author describes it as: “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.”. The project has 39k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add wshobson/agents`.
What airflow-dag-patterns does
Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.
Best for
What’s inside
The SKILL.md for airflow-dag-patterns is organised into these sections:
- When to Use This Skill
- Core Concepts
- 1. DAG Design Principles
- 2. Task Dependencies
- Quick Start
- Detailed patterns and worked examples
- Best Practices
- Do's
- Don'ts
Installation
Add airflow-dag-patterns to your agent with:
/plugin marketplace add wshobson/agentsReview a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.
Supported agents
- Claude Code — ships a claude code plugin marketplace
- Codex — declared in the repository topics
- Cursor — declared in the repository topics
- Gemini CLI — declared in the repository topics
- OpenCode — declared in the repository topics
- GitHub Copilot — declared in the repository topics
License
airflow-dag-patterns is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in wshobson/agents, an established project with 38,858 GitHub stars
- Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, GitHub Copilot
- Actively maintained — repository updated in the last 90 days
- Its repository gained 461 GitHub stars over the last 17 days
Author
Topics
Alternatives to airflow-dag-patterns
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Frequently asked questions
- What does airflow-dag-patterns do?
- 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.
- How do I install airflow-dag-patterns?
- Run /plugin marketplace add wshobson/agents in your agent, then reload your skills. Review the source at https://github.com/wshobson/agents before installing.
- Is airflow-dag-patterns free to use?
- Yes. airflow-dag-patterns is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Which agents does airflow-dag-patterns work with?
- airflow-dag-patterns lists Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
- Where does airflow-dag-patterns come from?
- airflow-dag-patterns ships inside wshobson/agents, a repository that contains 54 catalogued skills in total. The repository's 38,858 GitHub stars apply to that whole collection, not to this skill on its own.