multi-reviewer-patterns
OfficialCoordinate parallel reviews with deduped findings
Software Engineering#deduplication#quality-assurance#consolidation#code-review#pull-request#severity-calibration#review-dimensions
AuthorOpenDCAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Coordinating parallel code reviews across multiple quality dimensions, deduplicating findings, calibrating severity, and producing a single consolidated report.
Core Features & Use Cases
- Coordinate multi-dimension reviews (Security, Performance, Architecture, Testing, Accessibility) across reviewers to align findings.
- Apply consistent severity calibration rules and merge duplicates into a unified report.
- Use case: when a PR impacts API surface, UI, and data model, this skill coordinates reviews, consolidates findings, and assigns unified priorities.
Quick Start
Provide a PR and specify reviewer dimensions to generate a consolidated review.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: multi-reviewer-patterns Download link: https://github.com/OpenDCAI/leonai/archive/main.zip#multi-reviewer-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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