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Found 6 Skills
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
Expert knowledge of Apache Airflow for building, scheduling, and monitoring data pipelines and workflows
Migrates Airflow projects from airflow-ai-sdk to apache-airflow-providers-common-ai 0.1.0+. Use this skill when the user wants to replace airflow-ai-sdk with the official Airflow AI provider, migrate LLM decorators (@task.llm, @task.agent, @task.llm_branch, @task.embed), switch from model strings/objects to connection-based LLM configuration, or update imports from airflow_ai_sdk to the new provider. Also trigger when the user mentions common-ai provider, AIP-99, pydanticai connection, or migrating away from airflow-ai-sdk.
Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Astronomer integration. Manage data, records, and automate workflows. Use when the user wants to interact with Astronomer data.