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anajuliabit
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Issue Triage

Triage GitHub issues into verdicts and next actions with gh queries.

6|2|Updated May 21, 2026
Search Tags:#automation#github#repository management#duplicate detection#issue triage#labeling#maintainer workflow
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill issue-triage-anajuliabit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Issue Triage
Source: https://github.com/anajuliabit/aeon/tree/main/skills/issue-triage
Command: npx skills add https://github.com/anajuliabit/aeon --skill issue-triage-anajuliabit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates slow, repetitive maintainer triage by automatically classifying each new GitHub issue into a clear verdict and a concrete next action.

Core Features & Use Cases

  • Decision-ready verdicts: Produces one of ACCEPT, NEEDS-INFO, DUPLICATE, or DECLINE with an appropriate comment and labels.
  • Duplicate detection first: Detects likely duplicates using title/body overlap and identifying-string matches, and closes only when high-confidence.
  • Schema-safe labeling: Fetches and caches repo label definitions, creates missing labels with sensible defaults, and avoids re-triaging issues already labeled or recorded in memory.
  • Maintainer-friendly outcomes: Suggests reviewer context when possible via CODEOWNERS or recent authors and supports a run budget per repo.

Quick Start

Ask an AI agent to run Issue Triage for a specific repository by setting var to "owner/repo", or leave var empty to triage all watched repos defined in memory/watched-repos.md.

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 for my repository?▼

To automate issue triage, this Skill classifies new GitHub issues into verdicts like ACCEPT, NEEDS-INFO, or DUPLICATE, then posts a comment and applies appropriate labels to reduce manual maintainer workload.

How does duplicate detection work for GitHub issues?▼

Duplicate detection works by comparing title and body overlap plus identifying-string matches against a memory file of triaged issues, closing duplicates only when high-confidence matches are found.

Can I automatically label new GitHub issues without creating conflicts?▼

Yes, you can automatically label issues safely because the Skill fetches and caches existing repo label definitions, creates missing labels with sensible defaults, and avoids re-triaging issues already labeled or recorded in memory.

What is the best way to manage issue intake across multiple watched repos?▼

The best way to manage intake across multiple watched repos is reading targets from a watched-repos memory file, applying classification and duplicate detection per repo while respecting a configured run budget.

How do I stop slow, repetitive maintainer workflows for recurring repository issue intake?▼

You stop repetitive maintainer workflows by running automated issue triage that emits decision-ready verdicts and concrete next actions, suggesting reviewer context via CODEOWNERS or recent authors to streamline intake.

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