dag-factory

Declarative Airflow DAGs from YAML. Detect the repo's dialect before writing YAML. Official Astronomer skill targets PyPI dag-factory v1+ (list-format tasks). Many production repos still use a vendored plugin and map-format tasks keyed by task_id. Mixing the two breaks parse.

1. Detect dialect

rg -n "load_yaml_dags|from dagfactory|from plugins.dagfactory" --glob '*.py' dags plugins | head
rg -n "^  tasks:" -g '*.yaml' -g '*.yml' -A 6 | head -40

Signal	Dialect
`from plugins.dagfactory import load_yaml_dags` (or similar in-repo plugin)	map - `tasks.<task_id>.operator`
`from dagfactory import load_yaml_dags` + `dag-factory>=1` in deps	list - `tasks: [{task_id, operator}]`
`tasks:` then a nested key that is a task id, not `- task_id:`	map
`tasks:` then `- task_id:`	list

Match neighboring YAML in the same folder. Do not "modernize" map-format files to list-format unless the user asks and the loader is PyPI v1+.