Workflow Design

YAML workflow dependencies are validated using Kahn's algorithm for topological sorting and cycle detection, enforcing strict rules for step IDs, dependencies, and schema structure to prevent runtime errors.

DAG dependency resolution in YAML automation pipelines automatically determines execution order based on defined step dependencies, ensuring correct sequencing and identifying parallelizable tasks.

Variables are passed between steps in a YAML workflow using context variable substitution with the syntax {{context.key}}, enabling seamless data flow across the automation pipeline.

Scheduling multi-step YAML automation pipelines is handled by defining clear metadata and default settings within the YAML workflow definition, allowing automated execution of chained processes like client onboarding.

Circular dependency errors in YAML workflow orchestration are identified through cycle detection during topological sorting, allowing you to correct invalid step dependencies before runtime execution.

No specific orchestration framework is required as a dependency; YAML DAG workflows are designed, validated, and executed directly through the workflow design framework without external platform dependencies.