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scrum-team-product-owner

Automate Scrum backlog management and prioritization using scrum.ts as the source of truth.

6|Updated Dec 28, 2023
Search Tags:#ai-agent#scrum#acceptance-criteria#backlog-management#pbi#product-backlog#agile-governance
One-click install
npx skills add https://github.com/staticWagomU/dotfiles --skill scrum-team-product-owner-staticwagomu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scrum-team-product-owner
Source: https://github.com/staticWagomU/dotfiles/tree/main/config/claude/skills/scrum-team-product-owner
Command: npx skills add https://github.com/staticWagomU/dotfiles --skill scrum-team-product-owner-staticwagomu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-Agentic Product Owner accountable for maximizing product value through effective Product Backlog management. Use when creating PBIs, ordering backlog, or accepting sprints.

Core Features & Use Cases

  • Maintain a well-ordered Product Backlog with clear PBIs and executable acceptance criteria
  • Prioritize backlog items to maximize product value and align with the Product Goal
  • Ensure PBIs are ready for AI execution and can be autonomously executed without human input
  • Follow the AI-Agentic Sprint Model: one sprint equals one PBI, with no fixed duration
  • Use the Single Source of Truth (scrum.ts) and reference scrum-dashboard for maintenance guidance

Quick Start

Prioritize the top ready PBI and ensure it is ready for autonomous AI execution.

Frequently Asked Questions about scrum-team-product-owner

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

FAQPage Schema
How do I automate Product Backlog management for autonomous AI execution?▼

Automate Product Backlog management by applying an AI-Agentic Product Owner model that maintains well-ordered PBIs with executable acceptance criteria. It ensures items are ready for autonomous AI execution without human input, using scrum.ts as the single source of truth.

What is the AI-Agentic Sprint Model for backlog prioritization?▼

The AI-Agentic Sprint Model defines one sprint as equal to one PBI with no fixed duration. It maximizes product value by prioritizing backlog items that satisfy readiness criteria and executable verification, aligning with INVEST principles for autonomous execution.

How do I create PBIs with executable acceptance criteria in a Scrum framework?▼

Create PBIs with executable acceptance criteria by ensuring they satisfy readiness criteria for autonomous AI execution. The process aligns items with the Product Goal and uses scrum.ts as the single source of truth to maintain backlog transparency.

Can I use this approach for agile governance without fixed sprint durations?▼

Yes, you can apply agile governance without fixed sprint durations by using the AI-Agentic Sprint Model where one sprint equals one PBI. This approach focuses on maximizing product value through continuous backlog ordering and executable verification.

How do I ensure Product Backlog items follow INVEST principles for AI agents?▼

Ensure Product Backlog items follow INVEST principles by validating readiness criteria and executable verification before sprint acceptance. The AI-Agentic Product Owner orders items to align with the Product Goal, guaranteeing autonomous execution capability.

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