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multi-reviewer-patterns

Coordinate parallel code reviews and consolidate findings into unified reports.

114|12|Updated Jan 22, 2026
Search Tags:#deduplication#quality-assurance#consolidation#code-review#pull-request#severity-calibration#review-dimensions
One-click install
npx skills add https://github.com/OpenDCAI/leonai --skill multi-reviewer-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-reviewer-patterns
Source: https://github.com/OpenDCAI/leonai/tree/main/.claude/skills/multi-reviewer-patterns
Command: npx skills add https://github.com/OpenDCAI/leonai --skill multi-reviewer-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about multi-reviewer-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate duplicate findings from parallel code reviews?▼

To consolidate duplicate findings from parallel code reviews, provide a pull request and specify reviewer dimensions. The skill coordinates multi-dimension reviews, merges duplicates, and outputs a unified report.

What is the best way to calibrate severity across multiple code reviewers?▼

Calibrating severity across multiple code reviewers requires applying consistent severity calibration rules. This skill harmonizes findings and severity across dimensions like Security, Performance, and Architecture into a single consolidated report.

How do I coordinate code review dimensions for a pull request impacting APIs and UI?▼

Coordinating code review dimensions for a pull request impacting APIs and UI involves aligning multi-dimension reviews. Provide the PR and specify dimensions to generate a consolidated review with unified priorities.

Can I use multi-dimension code review workflows for architectural refactoring?▼

Yes, multi-dimension code review workflows are applicable for architectural refactoring. The skill coordinates reviews across dimensions, applies deduplication rules, and assigns unified priorities for refactoring changes.

What are the limitations of consolidating cross-review attribution for pull requests?▼

Consolidating cross-review attribution for pull requests relies on specified reviewer dimensions and deduplication rules. It requires providing a PR and defining dimensions to properly harmonize findings and generate a consolidated report.

When do I need a consolidated reporting template for code review?▼

A consolidated reporting template for code review is needed when a PR impacts multiple dimensions like API surface, UI, and data model. It merges duplicates and assigns unified priorities across coordinated parallel reviews.

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