coordinator-patterns

Standardize phase validation across AI agent coordinator workflows by applying a reusable pattern that verifies inputs and enforces consistent error handling. This approach ensures coordinator roles maintain reliable and traceable phase progression.

Handle errors like JSON parsing failures in AI coordinator workflows by using a standardized error handling pattern. It addresses common failure modes including timeouts and user cancellations to ensure consistent coordinator behavior.

TodoWrite management tracks AI agent workflow phases by moving the workflow through defined stages. This pattern provides transparent state descriptions and phase-to-phase data propagation for complete auditability.

No specific framework is required to use coordinator patterns for AI agents. The pattern provides a reusable structure that any master-coordinator or review-coordinator agent can adopt to enforce phase validation and progress tracking.

Use a standardized coordinator pattern instead of custom workflow logic to ensure reliability and traceability across master-coordinator and review-coordinator roles. It enforces structured phase validation, error handling, and consistent progress tracking.

Yes, you can apply coordinator patterns to both master-coordinator and review-coordinator roles. The pattern aligns both workflows by providing unified phase validation, consistent error handling, and TodoWrite-driven progress tracking.