execution-plan-review

You can validate complexity bands in GitHub issues by enforcing strict logic that prevents invalid configurations, such as applying fableplan status to low-complexity issues. The skill performs automated graph validation to detect dependency cycles and ensure project-wide execution standards.

Inconsistent milestone execution plan metadata occurs when complexity scores, build models, and dependency graphs are not synchronized across issues. This skill resolves these inconsistencies by synchronizing GitHub issue metadata to ensure the source of truth remains accurate.

Yes, you can apply batch updates to multiple GitHub issue execution blocks simultaneously. This feature allows you to apply multiple revisions at once, reducing manual GitHub API round-trips and ensuring consistent execution plan updates.

You detect dependency cycles in GitHub issue graphs by performing automated graph validation. The skill analyzes dependencies across multiple issues within a milestone to detect cycles and enforce strict adherence to project-wide execution standards.

A unified execution table renders a comprehensive view of all GitHub milestone issues, including build models, effort, and fableplan status. It provides a synchronized source of truth by parsing milestone metadata and validating configuration logic.