airflow-dag-generator
Generate airflow dag generator operations. Auto-activating skill for Data Pipelines. Triggers on: airflow dag generator, airflow dag generator Part of the Data Pipelines skill category. Use when working with airflow dag generator functionality. Trigger with phrases like "airflow dag generator", "airflow generator", "airflow". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill airflow-dag-generator --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.
# Airflow Dag Generator ## Overview This skill provides automated assistance for airflow dag generator tasks within the Data Pipelines domain. ## When to Use This skill activates automatically when you: - Mention "airflow dag generator" in your request - Ask about airflow dag generator patterns or best practices - Need help with data pipeline skills covering etl, data transformation, workflow orch
What does the airflow-dag-generator skill do?
Generate airflow dag generator operations. Auto-activating skill for Data Pipelines. Triggers on: airflow dag generator, airflow dag generator Part of the Data Pipelines skill category. Use when working with airflow dag generator functionality. Trigger with phrases like "airflow dag generator", "airflow generator", "airflow". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill airflow-dag-generator --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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.
