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bmad-sprint-status

Manage sprint status, identify risks, and suggest workflow actions.

1|Updated May 31, 2026
Search Tags:#project management#workflow automation#risk assessment#Google Cloud#sprint status
One-click install
npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-sprint-status-sfines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-sprint-status
Source: https://github.com/sfines/slf-llm-wiki-py/tree/main/.agents/skills/bmad-sprint-status
Command: npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-sprint-status-sfines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-cloud-ai-platform, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive overview of sprint status, identifies risks, and suggests the next workflow action, streamlining project management and development processes.

Core Features & Use Cases

  • Sprint Status Summary: Summarizes the current sprint status, including story and epic statuses.
  • Risk Identification: Identifies potential risks in the sprint, such as stories in review or epics without associated stories.
  • Action Recommendations: Recommends the next workflow action based on the sprint status and risks.
  • Data Mode and Validate Mode: Supports data mode for outputting status information and validate mode for checking the integrity of the sprint status file.

Quick Start

Check the sprint status by saying "show sprint status".

Frequently Asked Questions about bmad-sprint-status

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor sprint status and identify risks in my software development workflow?▼

To monitor sprint status and identify risks, you need a tool that summarizes story and epic progress while flagging potential blockers. This Skill provides a comprehensive overview of sprint status, identifies risks like stories stuck in review, and suggests the next workflow action.

Does project management workflow automation require Google Cloud Vertex AI?▼

Yes, project management workflow automation with this Skill requires Google Cloud Vertex AI for its execution environment. You must configure your Google Cloud AI Platform dependencies before running the Python scripts to assess sprint risks and recommend actions.

How do I customize sprint status tracking and risk assessment rules?▼

You can customize sprint status tracking and risk assessment rules by utilizing YAML configuration files. These files allow you to define workflow customization parameters that the Python scripts execute to validate sprint integrity and output specific status data.

Can I validate sprint status file integrity and output data mode reports?▼

Yes, you can validate sprint status file integrity and output data mode reports. The tool supports a validate mode for checking sprint file consistency and a data mode for outputting structured status information, ensuring your project management tracking is accurate.

What is the best way to get action recommendations for sprint workflow management?▼

The best way to get action recommendations for sprint workflow management is using an automated risk assessment tool. This Skill analyzes your sprint status, identifies risks like epics without associated stories, and recommends the next workflow action to streamline development.

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