smart-reopen-detector

Regression detection scans your active and completed work from the last 7 days, extracting issue-related keywords to identify problems introduced in recent changes. The Skill flags related tasks and suggests reopening them with relevance scoring, helping you catch bugs before they propagate.

Yes. When you report work issues, the Skill scans recent items for keyword matches, scores their relevance, and proposes /sw:reopen commands with rationale. It respects WIP limits before suggesting reopens, ensuring you stay within workflow constraints.

The Skill activates on issue keywords, examining your last 7 days of active and completed work to identify related tasks. It deduplicates findings, applies recency bias, and generates targeted reopen suggestions with reasoning for each proposal.

Yes. The Skill integrates with /sw:reopen and /sw:status commands, pulling recent work data and respecting WIP constraints. It fits into existing workflows without requiring additional setup beyond basic deployment and configuration.

Relevance scoring evaluates keyword matches and recency across recent work, ranking related items by likelihood of impact. This ensures high-confidence reopen suggestions surface first, reducing noise and helping you focus on actual regressions.