workflow-builder-framework

DAG-based workflows let you define task dependencies and enable parallel execution. This Skill provides patterns to coordinate multi-agent tasks across distributed systems, apply topological sorting for clear ordering, and execute independent tasks concurrently while respecting dependency constraints.

Yes. This Skill supports state machine workflows with guards and actions for reactive systems. Combine event-driven coordination with state transitions to build workflows that respond to events, manage state changes, and trigger compensating actions across microservices.

This Skill includes observability hooks and robust error handling patterns for production workflows. Implement retry logic, compensation strategies for sagas, and instrumentation to track task execution, dependencies, and failures across your orchestrated pipeline.

Sagas and compensation patterns handle retries and rollback across microservices. This Skill provides templates for defining compensating transactions, managing distributed state, and recovering from failures while maintaining consistency in event-driven and DAG-based architectures.

No specific framework prerequisite is required. This Skill teaches workflow patterns—DAGs, state machines, event-driven coordination, and sagas—applicable across platforms. It includes testable code templates and dependency management guidance suitable for both new and experienced teams.

This Skill provides testable code templates and guidance for validating DAG topology, state transitions, and event flows. Test your workflow logic, error paths, and compensation steps locally before deploying to distributed environments.