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scrum-event-backlog-refinement

Transform PBIs into ready backlog items with acceptance criteria and dependencies.

3|1|Updated Feb 3, 2012
Search Tags:#backlog#AI-assisted#invest#acceptance-criteria#refine#PBI
One-click install
npx skills add https://github.com/shishi/dotfiles --skill scrum-event-backlog-refinement
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scrum-event-backlog-refinement
Source: https://github.com/shishi/dotfiles/tree/main/claude/skills/scrum-event-backlog-refinement
Command: npx skills add https://github.com/shishi/dotfiles --skill scrum-event-backlog-refinement

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams transform product backlog items (PBIs) into ready, AI-executable stories. It streamlines backlog refinement by producing clear acceptance criteria, defining dependencies, and guiding splitting decisions so AI agents can autonomously act on the work.

Core Features & Use Cases

  • Autonomous Refinement: AI analyzes PBIs and proposes acceptance criteria, output-ready status, and an INVEST-aligned outcome.
  • Dependency & Scope Clarity: Identifies external blockers or prerequisites and resolves ambiguities to minimize human intervention.
  • Splitting Guidance: Applies best practices to break large PBIs into sprint-sized, value-delivering pieces (see splitting.md for strategies).
  • Quality & Readiness Checks: Verifies that each item meets the Definition of Ready and includes executable verification commands.
  • Operational Context: References the project’s Single Source of Truth (scrum.ts) and the scrum-dashboard skill for ongoing maintenance.

Quick Start

Provide a backlog item description and ask the AI to refine it into a ready PBI with concrete acceptance criteria, implied dependencies, and a recommended splitting plan if needed.

Frequently Asked Questions about scrum-event-backlog-refinement

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

FAQPage Schema
How do I write acceptance criteria that AI agents can autonomously execute?▼

Executable acceptance criteria must include concrete verification commands. Backlog refinement transforms PBIs into AI-ready stories that resolve dependencies and adhere to INVEST principles for autonomous execution.

What is the best way to split large product backlog items into sprint-sized stories?▼

Splitting large PBIs applies best practices to break work into smaller, value-delivering pieces. Backlog refinement analyzes scope and proposes splitting strategies to ensure each story fits sprint constraints.

How do I ensure my product backlog items meet the Definition of Ready?▼

Definition of Ready checks verify each item has clear acceptance criteria and executable verification commands. Backlog refinement assesses PBIs against INVEST principles to confirm readiness before sprint execution.

Can AI autonomously resolve ambiguities and dependencies during backlog grooming?▼

AI autonomously resolves ambiguities during backlog grooming by identifying external blockers and prerequisites. Refinement minimizes human intervention by clarifying scope and output-ready status.

When do I need to refine a PBI before assigning it to an AI agent?▼

You refine a PBI before assignment when it lacks executable verification commands or has unresolved dependencies. Backlog refinement ensures items are AI-actionable and meet the Definition of Ready.

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