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ricardoalt1515
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triage

Categorize issues and pull requests into bug or enhancement states.

Updated Mar 26, 2025
Search Tags:#development workflow#software development#issue tracking#pull request management#triage automation
One-click install
npx skills add https://github.com/ricardoalt1515/.config --skill triage-ricardoalt1515
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: triage
Source: https://github.com/ricardoalt1515/.config/tree/main/agents/skills/triage
Command: npx skills add https://github.com/ricardoalt1515/.config --skill triage-ricardoalt1515

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the process of categorizing and triaging issues and pull requests by automating the initial stages, reducing manual effort and speeding up the development workflow.

Core Features & Use Cases

  • Automated Triage: Categorize issues and PRs into 'bug' or 'enhancement' and track them through various states like 'needs-triage', 'ready-for-agent', and 'wontfix'.
  • Contextual Analysis: Understands the issue or PR content, labels, and existing discussions to make accurate triage decisions.
  • Out-of-Scope Knowledge Base: Utilizes an 'out-of-scope' directory to track rejected feature requests and prevent duplicate work.
  • Use Case: Streamline the issue and PR management process for development teams, reducing response times and improving collaboration.

Quick Start

To start triaging, run the 'triage' command followed by the issue or PR identifier. For example, 'triage #42'.

Frequently Asked Questions about triage

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

FAQPage Schema
How do I automate issue and pull request triage in a software development workflow?▼

Automated issue triage uses natural language processing and machine learning to categorize issues and pull requests into bugs or enhancements. It analyzes content, labels, and discussions to apply states like needs-triage or ready-for-agent.

Can AI automatically categorize GitHub issues and pull requests based on context?▼

AI can automatically categorize issues and pull requests by understanding context, labels, and existing discussions. This contextual analysis enables accurate classification into bugs or enhancements without manual effort.

How do I prevent duplicate feature requests and track rejected issues during triage?▼

Track rejected feature requests and prevent duplicate work by utilizing an out-of-scope knowledge base directory. This structured approach maintains a record of wontfix decisions during the issue triage process.

Is automated triage suitable for large software development teams managing high volumes of issues?▼

Automated triage is suitable for development teams needing to streamline issue and pull request management at scale. It reduces manual effort, speeds up the development workflow, and improves collaboration by reducing response times.

What are the limitations of using AI for issue tracking and pull request management?▼

Limitations of AI-based issue tracking include requiring proper context understanding and an interface to the issue tracker for accurate classification. Complex or ambiguous discussions may challenge the machine learning categorization algorithms.

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