issues

Analyze GitHub issues to classify categories, detect duplicates and spam, and output structured priorities.

1|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/aronpc/ai --skill issues-aronpc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: issues
Source: https://github.com/aronpc/ai/tree/main/skills/issues
Command: npx skills add https://github.com/aronpc/ai --skill issues-aronpc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analisa e classifica issues do GitHub com detecção de duplicados, spam e priorização para acelerar a triagem e o planejamento.

Core Features & Use Cases

  • Classificação de issues por categoria (bug, feature, documentation, question, duplicate, spam, feature_creep)
  • Detecção de duplicados e spam com sugestões de ações
  • Vinculação de issues com PRs e planejamento de sprint para geração de specs

Quick Start

Insira um conjunto de issues do GitHub para iniciar a triagem e classificação automatizada.

Frequently Asked Questions about issues

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

FAQPage Schema
How do I automate GitHub issue triage and classification?

Automate GitHub issue triage by submitting a batch of issues to receive classification by category, duplicate detection, spam flags, and priority signals. The analysis outputs structured, machine-readable results with recommended actions to accelerate sprint planning and documentation.

Can I detect duplicate and spam GitHub issues automatically?

Yes, you can detect duplicate and spam GitHub issues automatically by analyzing the issue content. The classification process identifies duplication status and applies spam flags, providing recommended actions to manage the detected issues effectively during triage.

What GitHub issue categories can automated triage identify?

Automated triage can identify GitHub issue categories including bug, feature, documentation, question, duplicate, spam, and feature creep. Classification applies these categories across issues to support requirement extraction and sprint planning contexts.

Does GitHub issue classification work with PRs and sprint planning?

GitHub issue classification works with related PRs and sprint planning contexts by linking issues to PRs and generating specs. It applies priority signals and recommended actions to support documentation and requirement extraction across the development workflow.

What is the best way to extract requirements from GitHub issues?

The best way to extract requirements from GitHub issues is applying automated classification that categorizes issues, detects duplicates, and assigns priority. This yields structured, machine-readable outputs linking issues, PRs, and sprint planning contexts for requirement extraction.