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ondrasek
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recommend

Rank open issues by weighted scoring to recommend the top three.

2|1|Updated Feb 15, 2026
Search Tags:#github#issues#scoring#triage#recommendations#analyze#project-trends
One-click install
npx skills add https://github.com/ondrasek/cc-plugins --skill recommend-ondrasek
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recommend
Source: https://github.com/ondrasek/cc-plugins/tree/main/plugins/github-issues/skills/recommend
Command: npx skills add https://github.com/ondrasek/cc-plugins --skill recommend-ondrasek

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze open issues against codebase activity, severity, and project trends to identify the top three issues to work on next.

Core Features & Use Cases

  • Automated triage: scores and ranks issues based on a structured rubric.
  • Diversification: ensures the top recommendations come from multiple categories.
  • Transparent scoring: includes a breakdown for each recommendation to aid decision-making.

Quick Start

Ask Claude to run the recommend skill on the current repository to receive the top three issue recommendations.

Frequently Asked Questions about recommend

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

FAQPage Schema
How do I prioritize GitHub issues for my next sprint?▼

Automated GitHub issue triage uses a weighted scoring rubric across severity, alignment, and effort to identify the top three issues to work on next. It analyzes open issues against codebase activity and project trends to streamline sprint planning.

What is the best way to triage open issues using project trends?▼

Scoring open issues against codebase activity and project trends provides the best way to triage for sprint refinement. A weighted rubric evaluates severity, alignment, and freshness, applying diversification rules to yield top recommendations across multiple categories.

Can I use automated issue scoring for repositories with active codebases?▼

Yes, automated issue scoring is applicable to repositories with open issues and active codebases. It evaluates codebase activity alongside severity and external signals to generate top recommendations for planning and sprint refinement.

Does the issue recommendation rubric explain why specific issues are selected?▼

Yes, the issue recommendation rubric provides transparent scoring by including a breakdown for each recommendation. This breakdown details how issues scored across severity, alignment, effort, and external signals to aid sprint planning decisions.

Why are my top issue recommendations coming from different categories?▼

Top issue recommendations come from different categories due to built-in diversification rules. This ensures the top three issues to tackle are not all identical in nature, promoting a balanced approach to project triage and sprint refinement.

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