dedupe-issue-local

To detect duplicate issues locally, you need specialized deduplication guidance that normalizes issue titles, evaluates support evidence, and clusters duplicates. This skill provides repository-specific rules to identify and group matching issues without external dependencies.

Issue deduplication is the process of identifying and grouping duplicate reports. Normalization works by stripping variable prefixes from issue titles and treating certain differing elements as non-blockers, allowing the core problem to be matched across multiple reports.

Yes, you can customize duplicate detection for your specific repository. This skill specializes categories marked overridable by the core dedupe-issue skill, allowing you to define normalization rules that strip prefixes and treat specific elements as non-blockers.

No, you do not need external dependencies to run local issue deduplication. This skill requires no external dependencies, operating entirely on repository-specific guidance to normalize issue titles and cluster duplicates.

To group duplicate issues into clusters over time, you use the update-dedupe loop. This process assists in identifying and proposing duplicate clusters by continuously applying normalization rules to issue titles and support evidence.