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create-issue

Create GitHub issues with automated summaries, labels, and codebase context.

Updated May 16, 2026
Search Tags:#devops#project management#github#codebase analysis#issue creation
One-click install
npx skills add https://github.com/aryaxt/aryaxt-skills --skill create-issue-aryaxt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-issue
Source: https://github.com/aryaxt/aryaxt-skills/tree/main/skills/create-issue
Command: npx skills add https://github.com/aryaxt/aryaxt-skills --skill create-issue-aryaxt

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of creating GitHub issues by providing an AI-assisted process that researches relevant code, suggests appropriate labels, and creates an implementation-ready issue directly in your GitHub project board.

Core Features & Use Cases

  • Codebase Research: Analyze the codebase for context, including relevant files, services, components, and constraints.
  • Issue Creation: Automatically draft an issue summary, context, acceptance criteria, and implementation notes based on the analysis.
  • Label Application: Suggest appropriate labels for type, platform, area, severity, and priority to ensure the issue is properly categorized.
  • GitHub Integration: Directly create and manage issues within your GitHub project board, adding them to the Backlog.

Quick Start

To create an issue for adding a feature, run /create-issue feature "add video duration picker" 4s/6s/8s.

Frequently Asked Questions about create-issue

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

FAQPage Schema
How do I automate GitHub issue creation from codebase analysis?▼

You can automate GitHub issue creation by using an AI-assisted process that researches relevant code, suggests labels, and drafts an implementation-ready issue directly in your GitHub project board.

How does AI assistance help draft implementation-ready GitHub issues?▼

AI assistance drafts implementation-ready GitHub issues by analyzing your codebase for context, automatically generating issue summaries, acceptance criteria, implementation notes, and suggesting appropriate labels.

Can I automatically suggest and apply labels when creating issues on GitHub?▼

Yes, you can automatically suggest and apply labels for type, platform, area, severity, and priority during GitHub issue creation to ensure the issue is properly categorized on your project board.

What's the best way to create structured GitHub issues for product management workflows?▼

The best way to create structured GitHub issues for product management workflows is to use an automated tool that analyzes codebase constraints and generates consistent issue summaries, context, and acceptance criteria.

Do I need to manually research relevant files before creating a GitHub issue?▼

No, you do not need to manually research relevant files. Automated codebase analysis analyzes relevant files, services, and components to provide context for the issue automatically.

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