Migrate Apache Airflow DAGs, operators, and workflows to idiomatic ZenML pipelines. Handles concept mapping (DAG→pipeline, operator→step, XCom→artifact), code translation, scheduling, retry config, Docker settings, and flags unsupported patterns (trigger rules, sensors, dynamic task mapping) for human review. Use this skill whenever the user mentions Airflow migration, converting Airflow DAGs, porting workflows from Airflow, replacing Airflow with ZenML, or asks how an Airflow concept maps to ZenML — even if they don't explicitly say "migrate". Also use when they paste Airflow code and ask to make it work with ZenML, or when they describe a workflow using Airflow terminology (DAG, operator, XCom, sensor, task group) in a ZenML context. If the user just asks a quick conceptual question ("what's the ZenML equivalent of XCom?"), answer it directly from the concept map — no need to run the full migration workflow.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryContent & writingStars0
About this skill
Migrate Apache Airflow DAGs, operators, and workflows to idiomatic ZenML pipelines. Handles concept mapping (DAG→pipeline, operator→step, XCom→artifact), code translation, scheduling, retry config, Docker settings, and flags unsupported patterns (trigger rules, sensors, dynamic task mapping) for human review. Use this skill whenever the user mentions Airflow migration, converting Airflow DAGs, porting workflows from Airflow, replacing Airflow with ZenML, or asks how an Airflow concept maps to ZenML — even if they don't explicitly say "migrate". Also use when they paste Airflow code and ask to make it work with ZenML, or when they describe a workflow using Airflow terminology (DAG, operator, XCom, sensor, task group) in a ZenML context. If the user just asks a quick conceptual question ("what's the ZenML equivalent of XCom?"), answer it directly from the concept map — no need to run the full migration workflow.
Quick start
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Migrate Apache Airflow DAGs, operators, and workflows to idiomatic ZenML pipelines. Handles concept mapping (DAG→pipeline, operator→step, XCom→artifact), code translation, scheduling, retry config, Docker settings, and flags unsupported patterns (trigger rules, sensors, dynamic task mapping) for human review. Use this skill whenever the user mentions Airflow migration, converting Airflow DAGs, porting workflows from Airflow, replacing Airflow with ZenML, or asks how an Airflow concept maps to ZenML — even if they don't explicitly say "migrate". Also use when they paste Airflow code and ask to make it work with ZenML, or when they describe a workflow using Airflow terminology (DAG, operator, XCom, sensor, task group) in a ZenML context. If the user just asks a quick conceptual question ("what's the ZenML equivalent of XCom?"), answer it directly from the concept map — no need to run the full migration workflow.
About this listing
Category
Content & writing
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI