.agents/skills/dag-deploy/SKILL.md
Deploy generated DAGs to a target directory
npx skillsauth add starlake-ai/starlake-skills dag-deployInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Deploys previously generated DAG files to a target directory (e.g., your Airflow DAGs folder or Dagster repository). Supports cleaning the target directory and organizing files into subdirectories.
starlake dag-deploy [options]
--inputDir <value>: Folder containing DAGs previously generated by dag-generate--outputDir <value>: Root deployment directory for all DAGs (required)--dagDir <value>: Subdirectory within outputDir for DAG files--clean: Delete the output directory contents before deploying--reportFormat <value>: Report output format: console, json, or htmlstarlake dag-deploy --outputDir /opt/airflow/dags --clean
starlake dag-deploy --outputDir /opt/airflow/dags --dagDir starlake
starlake dag-deploy --inputDir /tmp/generated_dags --outputDir /opt/airflow/dags
development
Design SQL transformations for data pipelines with quality checks and dependency management. Use when the user says "design transforms" or "create SQL transformations".
devops
Plan and track sprint progress for data pipeline implementation. Use when the user says "sprint planning" or "plan data sprint".
testing
Analyze data sources in depth: schema, quality, volume, and extraction strategy. Use when the user says "analyze data source" or "profile this data source".
data-ai
Design Starlake-compatible table schemas with types, constraints, privacy, and expectations. Use when the user says "design schema" or "create table definition".