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backlog-management

Automate backlog creation, refinement, estimation, and prioritization with DEEP principles.

6|Updated Nov 20, 2025
Search Tags:#refinement#prioritization#agile#scrum#product backlog#user story#DEEP principles
One-click install
npx skills add https://github.com/daishiman/AIWorkflowOrchestrator --skill backlog-management-daishiman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backlog-management
Source: https://github.com/daishiman/AIWorkflowOrchestrator/tree/main/.claude/skills/backlog-management
Command: npx skills add https://github.com/daishiman/AIWorkflowOrchestrator --skill backlog-management-daishiman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solves?

This Skill provides a systematic approach to creating, managing, and refining your product backlog, ensuring your team always focuses on the most valuable work. It solves the problem of disorganized, outdated, or unprioritized backlogs that hinder agile development and predictable value delivery.

Core Features & Use Cases

  • DEEP Principles: Guides you through Detailed appropriately, Estimated, Emergent, and Prioritized principles for a healthy backlog.
  • Refinement Techniques: Offers best practices for regular backlog refinement sessions, including story detailing, splitting, and acceptance criteria definition.
  • Backlog Health Metrics: Helps monitor backlog age, readiness rate, and size to maintain an optimal workflow.
  • Use Case: During your weekly sprint planning, use this skill to analyze your current backlog's health, identify stale items, ensure all upcoming stories meet the "Definition of Ready," and re-prioritize based on the latest business value and risks.

Quick Start

Use the backlog-management skill to analyze the health of the current product backlog. Identify any stories that are not "Ready" for the next sprint. Suggest improvements based on the DEEP principles.

Frequently Asked Questions about backlog-management

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

FAQPage Schema
How do I prioritize my product backlog using DEEP principles?▼

DEEP principles guide backlog prioritization by ensuring items are Detailed appropriately, Estimated, Emergent, and Prioritized. This skill applies DEEP to create structured readiness definitions, acceptance criteria, and WSJF-based prioritization so your team focuses on highest-value work first.

What makes a user story ready for the next sprint?▼

A story meets the Definition of Ready when it has detailed acceptance criteria, proper estimation using T-Shirt sizing or story points, clear acceptance criteria, and verified business value. This skill provides templates and refinement techniques to ensure all upcoming stories meet readiness standards before sprint planning.

How do I identify and fix unhealthy backlogs?▼

Backlog health monitoring tracks age, readiness rate, and size to surface stale or under-refined items. This skill analyzes current backlog metrics, identifies stories not ready for delivery, and suggests improvements based on DEEP principles and refinement best practices.

What's the best way to estimate work in an agile backlog?▼

Two estimation methods work in agile backlogs: T-Shirt sizing for rough capacity planning and story points for sprint-level granularity. This skill implements both methods as part of structured backlog refinement to support predictable velocity and accurate sprint forecasting.

Can I track backlog refinement progress and changes over time?▼

Yes. This skill generates auditable artifacts including CHANGELOG.md for refinement history, EVALS.json for readiness metrics, and LOGS.md for refinement activity tracking, enabling teams to measure backlog health trends and refinement effectiveness across sprints.

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