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junhua
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GitHub Backlog Grooming

Creates GitHub EPIC and FEATURE issue templates for backlog grooming.

Updated Sep 25, 2025
Search Tags:#github#ai development#issue management#feature#milestone planning#epic#backlog grooming
One-click install
npx skills add https://github.com/junhua/forth-ai-homepage --skill github-backlog-grooming
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: GitHub Backlog Grooming
Source: https://github.com/junhua/forth-ai-homepage/tree/main/.claude/skills/github-backlog-grooming
Command: npx skills add https://github.com/junhua/forth-ai-homepage --skill github-backlog-grooming

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of managing GitHub issues, breaking down large tasks (EPICs) into smaller, AI-executable units (FEATUREs), and ensuring clear scope and requirements for efficient development.

Core Features & Use Cases

  • EPIC/FEATURE Decomposition: Guides the creation and linking of EPICs and FEATUREs for better project organization.
  • Issue Sizing & Estimation: Provides a framework for sizing issues based on complexity and estimating effort in AI-hours.
  • Template Generation: Offers templates for EPICs and FEATUREs to ensure all necessary information is captured.
  • Use Case: A product manager can use this Skill to define a new feature as an EPIC, then break it down into several FEATUREs, each small enough for an AI developer to complete in a single prompt session, ensuring consistent progress and maintainability.

Quick Start

Use the GitHub Backlog Grooming skill to create a new FEATURE issue for adding user authentication to the 'omnisonant' project.

Frequently Asked Questions about GitHub Backlog Grooming

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

FAQPage Schema
How do I break down GitHub issues for AI code generation?▼

To break down GitHub issues for AI code generation, you decompose large EPICs into smaller FEATURE units. This ensures each issue is small enough for an AI developer to complete in a single prompt session.

What is the best way to size GitHub issues for AI development?▼

Sizing GitHub issues for AI development involves estimating effort in AI-hours based on complexity. This framework ensures tasks are appropriately scoped for a single AI prompt session, maintaining consistent progress.

How do I create an EPIC and FEATURE issue structure in GitHub?▼

Creating an EPIC and FEATURE issue structure in GitHub involves using specific templates to define and link issues. This organizes large tasks into AI-executable units with clear scope and requirements.

Can I use these GitHub issue templates for milestone planning?▼

Yes, you can use these GitHub issue templates for milestone planning. The skill provides expert guidance on milestone planning and backlog assessment to optimize project management for AI development.

Does this backlog grooming approach work with existing GitHub projects?▼

This backlog grooming approach works with existing GitHub projects by assessing your current backlog and restructuring issues into clear EPIC and FEATURE hierarchies for better AI execution.

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