byastronomer· 48 skills
The language-neutral foundation for Airflow language SDKs — implement task logic in a non-Python language while the DAG stays in Python. Use when the user wants to run an Airflow task in another language (Java, Kotlin, Go, or other JVM/native languages), asks how the Python @task.stub pairs with native task code, how task/DAG IDs must match across the two sides, how data passes via XCom as JSON, or which language SDKs exist. This skill owns the shared Python-stub pattern and conceptual model; for a specific language's native API, build, and runtime, use that language's skill (e.g. authoring-java-sdk-tasks, authoring-go-sdk-tasks).
$npx -y skills add astronomer/agents --skill authoring-language-sdk-tasksInstalls into the current project.
Run `npx skills use "https://github.com/astronomer/agents" --skill "astronomer/agents/authoring-language-sdk-tasks"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/astronomer/agents" that are relevant to the current task. Run `npx skills add "https://github.com/astronomer/agents"` and select the relevant skills, then follow their instructions.