github-issue-analyzer

Prioritize GitHub issues by automatically categorizing them into HIGH, MEDIUM, LOW, and Good First Issues based on type, activity, labels, and comment counts. The analyzer ranks issues by recency and discussion volume to surface the most critical work, generating a prioritized markdown report with actionable insights for your team.

Yes, the analyzer automatically categorizes GitHub issues by type and applies smart prioritization based on labels, comment activity, and recency. It separates high-priority bugs, enhancements, and good first issues into distinct categories with rankings, making it easy to focus your team on what matters most.

The analyzer automatically identifies and flags issues marked as good first issues within your repository, sorting them by activity and recency. This streamlines contributor onboarding by surfacing beginner-friendly tasks that are actively discussed, reducing friction for new team members joining your project.

Generate a comprehensive issue report by running the analyzer on your repository with a configurable activity window—such as the last 60 days. It exports both raw data and a formatted markdown report containing summary statistics, top recommendations, and categorized issues ranked by priority and engagement.

Yes, the analyzer supports a configurable activity window to focus on recently updated issues. Filter by time period—such as the last 60 days—to generate reports that reflect current project health and active discussions without noise from stale issues.

Yes, the analyzer ranks issues by both comment count and recency to highlight actively discussed problems. This activity-based ranking ensures high-priority bugs and enhancements with recent engagement surface first, helping teams focus on issues with momentum and community involvement.