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Terry-Mao
Terry-MaoCOMMUNITY
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triage-issue

Analyze GitHub issues to suggest labels, estimate reproducibility, and detect duplicates.

144|16|Updated May 3, 2026
Search Tags:#root cause analysis#github#issue management#issue triage#automated categorization
One-click install
npx skills add https://github.com/Terry-Mao/AICodingFlow --skill triage-issue-terry-mao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: triage-issue
Source: https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/triage-issue
Command: npx skills add https://github.com/Terry-Mao/AICodingFlow --skill triage-issue-terry-mao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the initial triage of GitHub issues, saving time and reducing human error by providing structured output for issue categorization and prioritization.

Core Features & Use Cases

  • Issue Analysis: Automatically analyzes the content of a GitHub issue to classify it into categories such as bug report, enhancement request, or documentation issue.
  • Reproducibility Estimation: Determines the likelihood of reproducibility for an issue.
  • Root Cause Identification: Suggests the most likely root cause based on current codebase analysis.
  • Follow-up Questions Generation: Identifies and suggests follow-up questions if more information is needed.
  • Duplicate Issue Detection: Checks for duplicate issues within the repository.
  • Use Case: Streamline the initial review process for newly filed GitHub issues to ensure they are quickly categorized and addressed appropriately.

Quick Start

@bot /triage to initiate the issue triage process.

Frequently Asked Questions about triage-issue

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

FAQPage Schema
How do I automate GitHub issue triage for repositories with high issue volumes?▼

Automating GitHub issue triage involves analyzing issue content to classify categories, estimate reproducibility, identify root causes, and detect duplicates. This provides structured output to streamline initial review workflows and reduce human error.

What is automated issue categorization and how does it work for GitHub issues?▼

Automated issue categorization analyzes GitHub issue content to classify it as a bug report, enhancement request, or documentation issue. It evaluates text to suggest labels and identify potential root causes based on the codebase.

How can I identify duplicate GitHub issues automatically?▼

You can identify duplicate GitHub issues by running an automated triage process that checks newly filed issues against existing repository entries. This scans content to detect duplicates and suggest follow-up questions for missing information.

Does automated issue triage estimate reproducibility for GitHub bug reports?▼

Yes, automated issue triage estimates the likelihood of reproducibility for GitHub bug reports. By analyzing issue content, it determines reproducibility probability and suggests the most likely root cause to assist maintainers.

Can I use automated triage to generate follow-up questions for incomplete GitHub issues?▼

Yes, you can use automated triage to generate follow-up questions for incomplete GitHub issues. It identifies when more information is needed and suggests specific follow-up questions to request clarification from the reporter.

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