bmad-sprint-status

Analyze sprint status data, identify risks, and recommend workflow actions.

Updated Dec 26, 2025
One-click install
npx skills add https://github.com/tiween/tiween --skill bmad-sprint-status-tiween
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-sprint-status
Source: https://github.com/tiween/tiween/tree/main/.agents/skills/bmad-sprint-status
Command: npx skills add https://github.com/tiween/tiween --skill bmad-sprint-status-tiween

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a concise summary of the sprint status, identifies potential risks, and recommends the next steps for effective sprint management.

Core Features & Use Cases

  • Sprint Status Overview: Summarize the current sprint status, including story and epic statuses, and action items.
  • Risk Identification: Surface risks like outdated sprint status files, orphaned stories, and in-progress epics without associated stories.
  • Action Recommendations: Suggest the next workflow action based on the current sprint status, such as running a code review or creating a new story.
  • Data Mode and Validation Mode: Operate in data mode for batch processing and validation mode for file integrity checks.

Quick Start

Use the bmad-sprint-status skill to check the sprint status by saying "check sprint status" or "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 check sprint status and identify project risks?

Sprint risk identification detects issues like outdated sprint status files, orphaned stories, and in-progress epics lacking associated stories, ensuring project visibility and preventing potential workflow blockages.

What is the best way to manage sprint workflows for batch processing?

Managing sprint workflows for batch processing utilizes data mode to analyze sprint status data efficiently, while validation mode ensures file integrity checks to maintain accurate project visibility across multiple items.

Do I need Python to assess sprint status and mitigate risks?

Yes, you need Python installed to assess sprint status and mitigate risks, as the Skill requires Python scripts for workflow resolution and configuration files for customization during status analysis.

Why does sprint status analysis recommend creating a new story?

Sprint status analysis recommends creating a new story when it detects specific project contexts, such as in-progress epics without associated stories, ensuring proper workflow progression and mitigating structural risks.