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Airflow Dag Patterns skill

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.

$npx skills add rmyndharis/antigravity-skills --skill airflow-dag-patterns
View this skill on GitHubrmyndharis/antigravity-skills/skills/airflow-dag-patterns/SKILL.md
Pack stars
1,987
Pack installs
16k
Alyn Score
58/99
Updated
3 days ago
License
MIT
– views – installs via Alyn

rmyndharis

Airflow Dag Patterns

Install Airflow Dag Patterns

Pick your agent. Every command is ready to paste.

$npx skills add rmyndharis/antigravity-skills --skill airflow-dag-patterns

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads airflow-dag-patterns when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the airflow-dag-patterns skill”. In Codex, type $airflow-dag-patterns.

The skill itself

SKILL.md

FolderGitHub

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.

Tips for Airflow Dag Patterns

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Airflow Dag Patterns

What does the Airflow Dag Patterns skill 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 "npx skills add rmyndharis/antigravity-skills --skill airflow-dag-patterns" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Airflow Dag Patterns work in Cursor and Codex?

Yes. Airflow Dag Patterns uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Airflow Dag Patterns free?

Airflow Dag Patterns is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Airflow Dag Patterns?

Airflow Dag Patterns is published by rmyndharis in the rmyndharis/antigravity-skills repository, together with 29 other skills.

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