Audit one or more existing Kestra flows and add production-hardening controls — retries, timeouts, concurrency limits, error/finally/afterExecution handlers, SLAs, checks, and idempotency guards. Produces a severity-ranked findings report, then applies confirmed edits. Use when users ask to harden, audit, review, or make a flow more production-ready, resilient, or idempotent — not for authoring new flows (use kestra-flow).
Migrate an Airflow DAG to a production-ready Kestra flow. Extracts Python task logic into namespace files, maps DAG dependencies to Kestra tasks, and preserves parallel execution structure.
Generate, modify, or debug Kestra Flow YAML by fetching the live flow schema and applying the same guardrails used by the Kestra AI Copilot. Use when users ask to create, write, update, or fix a Kestra flow.
Operate Kestra environments using kestractl for context setup, flow inspection, flow validation and deployment, execution monitoring, namespace operations, and namespace file management. Use when users request Kestra operational CLI tasks in dev, staging, or production.