issue-triage

Automate GitHub issue triage by running a 3-phase workflow that audits open issues, analyzes risk and similarity, and proposes validated actions. This process helps maintainers systematically clean up backlogs with dozens to hundreds of stale tickets and duplicates.

Detect duplicate issues using local Jaccard-based similarity analysis during the deep analysis phase. This mechanism compares open tickets to identify potential duplicates, helping maintainers reduce confusion and consolidate stalled work across the backlog.

Score GitHub issues by risk and staleness to prioritize backlog cleanup effectively. The triage workflow evaluates open tickets and generates triage tables with risk scores, guiding maintainers on which stale issues require immediate action or discussion.

Issue triage supports PR linkage to preserve context across workflows. The automation-friendly workflow also accommodates language variations and labels, ensuring that proposed validated actions maintain existing repository context during backlog cleanup.

Draft validated action templates for stale GitHub issues during the actions phase of the triage workflow. The system generates these templates based on audit data and deep analysis, ensuring proposed changes are reviewed before execution on the repository.

Use an automated issue triage workflow instead of manual cleanup when managing non-trivial repositories with dozens to hundreds of open issues. The structured 3-phase approach handles stale tickets and duplicate detection far more efficiently than manual auditing.