Imported from ibragimov-oasis/vibe-coder (vc-kit/content/COMBINED/COMBINED/skills/skills-antigravity/source-antigravity-awesome-skills/plugins/antigravity-bundle-data-engineering/skills/airflow-dag-patterns/SKILL.md). Install upstream with npx skills add ibragimov-oasis/vibe-coder --skill airflow-dag-patterns. Copyright stays with the author.

Apache Airflow DAG Patterns

Name: airflow-dag-patterns
Author: ibragimov-oasis

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

Identify data sources, schedules, and dependencies.
Design idempotent tasks with clear ownership and retries.
Implement DAGs with observability and alerting hooks.
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.

🔗 Связи

[[MOC - Skills]] — Skills library
[[skills/skills-antigravity]] — Category: skills-antigravity

{ "ocm": "1", "id": "ibragimov-oasis-vibe-coder-airflow-dag-patterns", "kind": "skill", "name": "airflow-dag-patterns", "description": "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.", "publisher": "ibragimov-oasis", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "domain-skills", "artifact-skill", "source-skills-antigravity", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "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." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/ibragimov-oasis/vibe-coder", "path": "vc-kit/content/COMBINED/COMBINED/skills/skills-antigravity/source-antigravity-awesome-skills/plugins/antigravity-bundle-data-engineering/skills/airflow-dag-patterns/SKILL.md", "ref": "bdd9f958d7bb1a0f19b8ad8da020b0bab0f53eb1", "url": "https://github.com/ibragimov-oasis/vibe-coder/blob/bdd9f958d7bb1a0f19b8ad8da020b0bab0f53eb1/vc-kit/content/COMBINED/COMBINED/skills/skills-antigravity/source-antigravity-awesome-skills/plugins/antigravity-bundle-data-engineering/skills/airflow-dag-patterns/SKILL.md", "key": "ibragimov-oasis/vibe-coder/vc-kit/content/COMBINED/COMBINED/skills/skills-antigravity/source-antigravity-awesome-skills/plugins/antigravity-bundle-data-engineering/skills/airflow-dag-patterns/SKILL.md" } }, "instructions": "# Apache Airflow DAG Patterns\n\nProduction-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.\n\n## Use this skill when\n\n- Creating data pipeline orchestration with Airflow\n- Designing DAG structures and dependencies\n- Implementing custom operators and sensors\n- Testing Airflow DAGs locally\n- Setting up Airflow in production\n- Debugging failed DAG runs\n\n## Do not use this skill when\n\n- You only need a simple cron job or shell script\n- Airflow is not part of the tooling stack\n- The task is unrelated to workflow orchestration\n\n## Instruct", "cost": { "context_tokens": 323 } }

airflow-dag-patterns

About