airflow-dag-patterns
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.
Profile →npx skills add sickn33/agentic-awesome-skills --skill airflow-dag-patterns --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. ## Limitations - Use this skil
- Use this skill when
- Do not use this skill when
- Instructions
- Safety
- Resources
- Limitations
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 it?
Run `npx skills add sickn33/agentic-awesome-skills --skill airflow-dag-patterns --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.