scrum-team-product-owner

Create and order Product Backlog Items with executable acceptance criteria in scrum.ts.

8|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/atusy/agentic-scrum --skill scrum-team-product-owner-atusy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scrum-team-product-owner
Source: https://github.com/atusy/agentic-scrum/tree/main/claude-plugins/agentic-scrum/skills/scrum-team-product-owner
Command: npx skills add https://github.com/atusy/agentic-scrum --skill scrum-team-product-owner-atusy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents often struggle to prioritize work and keep a high-value backlog without clear guidance. This skill provides a product-owned perspective to create, order, and validate PBIs so AI agents can autonomously drive sprint-ready work.

Core Features & Use Cases

  • Develop and communicate the Product Goal to align the team with strategic outcomes.
  • Create Product Backlog Items (PBIs) with executable acceptance criteria.
  • Order and maintain the backlog by priority to maximize product value.
  • Ensure PBIs are ready for AI execution with clear scope and constraints.

Quick Start

Instruct the AI to assume Product Owner responsibility and draft a ready backlog item for the top priority feature.

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 create Product Backlog Items with executable acceptance criteria for AI agents?

To create Product Backlog Items with executable acceptance criteria, apply INVEST principles to define clear scope and constraints. This ensures PBIs are ready for AI execution without requiring human input during sprint development.

What is the best way to order a Product Backlog to maximize product value?

Ordering a Product Backlog to maximize product value requires applying a product-owned perspective to prioritize items by strategic outcomes. This approach aligns the team with the Product Goal and ensures high-value work is sprint-ready.

How do I maintain a single source of truth for AI-driven autonomous development?

Maintaining a single source of truth for AI-driven autonomous development involves defining and updating the backlog within the scrum.ts framework. This structure ensures readiness criteria and executable acceptance criteria are consistently met.

Does this approach to backlog management work without human input during sprint execution?

Yes, this backlog management approach is designed for independence from human input. By ensuring PBIs have executable acceptance criteria and clear constraints, AI agents can autonomously drive sprint-ready work without human intervention.

When do I need to apply INVEST principles for PBI creation in an AI-driven workflow?

Apply INVEST principles for PBI creation when preparing backlog items for AI-driven autonomous development. This ensures each item has clear scope, readiness criteria, and executable acceptance criteria required for sprint execution.

Why do AI agents struggle to prioritize work without clear Product Backlog guidance?

AI agents struggle to prioritize work without clear guidance because they lack a product-owned perspective to create, order, and validate PBIs. This skill provides the structured backlog management needed to drive autonomous sprint execution.