triage-new-issues

Review new GitHub issues to assess priority, suggest labels, and recommend assignees.

1|Updated Aug 8, 2025
One-click install
npx skills add https://github.com/britt/llpm --skill triage-new-issues
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: triage-new-issues
Source: https://github.com/britt/llpm/tree/main/skills/triage-new-issues
Command: npx skills add https://github.com/britt/llpm --skill triage-new-issues

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of managing incoming GitHub issues by automatically assessing their priority, suggesting relevant labels, and recommending assignees, reducing manual triage time.

Core Features & Use Cases

  • Automated Prioritization: Analyzes issue content for keywords and labels to determine urgency and impact.
  • Label Suggestion: Recommends appropriate labels based on issue type and affected area.
  • Assignee Recommendation: Suggests potential owners based on the issue's context.
  • Use Case: When a new bug report comes in, this skill can quickly flag it as high priority, suggest a bug and priority/high label, and point to the most likely developer to fix it.

Quick Start

Use the triage-new-issues skill to assess the priority and suggest labels for issue number 123.

Frequently Asked Questions about triage-new-issues

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

FAQPage Schema
How do I automatically prioritize and label new GitHub issues?

To automatically prioritize and label new GitHub issues, you can use a triage Skill that analyzes issue titles, descriptions, and existing labels to assess urgency, suggest relevant labels, and recommend assignees. This reduces manual backlog grooming time by evaluating issue content for impact and actionability.

What is the best way to streamline backlog grooming for incoming GitHub issues?

The best way to streamline backlog grooming is to automate issue triage by reviewing new GitHub issues to assess priority and urgency. This approach analyzes issue content to determine classification and suggest appropriate labels, reducing the manual effort required to process incoming bug reports and feature requests.

Can I automatically suggest assignees based on GitHub issue content?

Yes, you can automatically suggest potential assignees based on GitHub issue content. By analyzing the context of issue titles and descriptions, automated triage processes can recommend the most likely developers to address specific bugs or tasks, ensuring new issues are routed efficiently.

How does automated issue triage assess the priority and urgency of a bug report?

Automated issue triage assesses priority and urgency by analyzing issue content for specific keywords and existing labels. It evaluates the issue title and description to determine impact and actionability, which allows it to quickly flag high-priority bugs and suggest appropriate priority labels.

Does this issue triage approach work with existing GitHub labels?

Yes, this issue triage approach works with existing GitHub labels by analyzing them alongside issue titles and descriptions. It uses the current labels to help determine classification and actionability, and suggests relevant new labels like bug or priority/high to ensure accurate backlog categorization.