multi-reviewer-patterns

To consolidate parallel code reviews, this Skill merges overlapping findings through finding deduplication while preserving reviewer context. It normalizes mixed severity opinions into one consistent rating, producing a single prioritized report without duplicated noise.

Severity calibration normalizes mixed severity opinions from multiple reviewers into one consistent rating. This ensures the most important issues surface first in the final consolidated code review report.

Review dimension planning helps choose the right mix of security, performance, architecture, testing, and accessibility reviewers for your feature branch. This ensures full coverage for complex changes touching authentication, API performance, and UI behavior.

Yes, you can run multiple security, performance, and architecture code reviews in parallel. This Skill coordinates those parallel reviews and deduplicates repeated reports pointing to the same file and issue into one actionable summary.

The best way to deduplicate code review findings is to combine repeated reports that point to the same file and issue while preserving useful reviewer context. This maintains reviewer attribution while eliminating redundant noise from the final report.

No specific dependencies are required to coordinate multi-reviewer code review plans. You can directly request a plan that assigns review dimensions, deduplicates findings, calibrates severity, and produces a consolidated report.