issue-triage

Parse GitHub issue content and apply status labels via the GitHub API.

1|Updated Jan 20, 2026

Search Tags:#automation #github #ai analysis #issue triage #labeling

Ready to run

npx skills add https://github.com/rito528/dotfiles --skill issue-triage-rito528

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: issue-triage
Source: https://github.com/rito528/dotfiles/tree/main/.agents/skills/issue-triage
Command: npx skills add https://github.com/rito528/dotfiles --skill issue-triage-rito528

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of analyzing open GitHub issues and applying status labels, reducing the manual workload associated with issue triage.

Core Features & Use Cases

Automated Issue Analysis: Analyzes open issues and assigns labels based on content and complexity.
Label Application: Applies 'status: ready' or 'status: needs-investigation' labels to issues.
Use Case: Simplify the issue triage process in your project, allowing developers to quickly focus on actionable items.

Quick Start

Run the 'issue-triage' skill to analyze open GitHub issues and assign status labels.

Frequently Asked Questions about issue-triage

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

FAQPage Schema

How do I automate GitHub issue triage and labeling?▼

You can automate GitHub issue triage by running a skill that parses open issue content via the GitHub API and applies status labels. This reduces manual workload by assigning 'status: ready' or 'status: needs-investigation' based on analysis.

What is automated issue analysis for project management?▼

Automated issue analysis is the process of parsing open GitHub issues to evaluate content and complexity. It assigns status labels for categorization and prioritization, allowing developers to focus on actionable items without manual review.

Can I use AI analysis to categorize open GitHub issues?▼

Yes, you can use AI analysis to categorize open GitHub issues. The skill analyzes issue content and applies appropriate status labels like 'status: ready' or 'status: needs-investigation' to streamline project management triage.

What's the best way to apply status labels to GitHub issues?▼

The best way to apply status labels is using an automation skill that leverages the GitHub API and command-line tools. It analyzes open issues and assigns labels based on their content and complexity for effective triage.

Do I need the GitHub API to automate issue prioritization?▼

Yes, the GitHub API is required to automate issue prioritization. The skill utilizes the GitHub API alongside command-line tools to parse issue content and manage label application for repository triage.

Why use automated labeling for GitHub issue triage?▼

Automated labeling for GitHub issue triage reduces the manual workload of analyzing open issues. By applying 'status: ready' or 'status: needs-investigation' labels based on content, developers can quickly focus on actionable items.