bmad-sprint-status

To monitor sprint status and identify risks automatically, you can use a skill that analyzes sprint-status.yaml files to detect outdated data, orphaned stories, and missing epics. It provides an overview and recommends next steps to keep the project on track.

To validate the integrity of a sprint-status.yaml file, you can use a tool with a validate mode that checks for structural issues and missing data. This skill specifically validates sprint status files to ensure your project configuration is accurate and complete.

The best way to recommend next steps for project management workflows is by analyzing the current sprint status to find risks and blockers. This skill evaluates your sprint data and suggests the next workflow action to ensure project progression.

Yes, you can output sprint status data for further analysis without interactive prompts by using a data mode. This skill offers a data mode functionality that extracts and outputs sprint information directly for external processing.

Sprint monitoring in project workflows detects risks such as outdated sprint status files, orphaned stories, and missing epics. The skill identifies these specific issues to help you address potential problems before they impact project progression.