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multi-reviewer-patterns

Coordinate parallel code reviews across security, performance, architecture, testing, and accessibility dimensions.

38.6k|4.1k|Updated Jul 24, 2025
Search Tags:#testing#architecture#quality assurance#code review#performance#accessibility#security
One-click install
npx skills add https://github.com/wshobson/agents --skill multi-reviewer-patterns-wshobson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-reviewer-patterns
Source: https://github.com/wshobson/agents/tree/main/plugins/agent-teams/skills/multi-reviewer-patterns
Command: npx skills add https://github.com/wshobson/agents --skill multi-reviewer-patterns-wshobson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of coordinating code reviews across multiple quality dimensions, ensuring consistency, deduplicating findings, and consolidating reports for efficient feedback.

Core Features & Use Cases

  • Dimension Allocation: Provides guidance on selecting appropriate review dimensions (Security, Performance, Architecture, Testing, Accessibility) based on the scenario.
  • Finding Deduplication: Establishes rules for merging duplicate findings from different reviewers, prioritizing clarity and attribution.
  • Severity Calibration: Offers a framework for consistently rating the severity of findings based on impact and likelihood.
  • Consolidated Reporting: Provides a template for generating a unified report that summarizes all findings across dimensions.
  • Use Case: When a new API endpoint is developed, this skill helps assign Security, Performance, and Architecture reviewers, deduplicates any overlapping issues they find, calibrates the severity of each bug, and generates a single report for the development team.

Quick Start

Use the multi-reviewer-patterns skill to determine the best review dimensions for a new feature that modifies the user authentication flow.

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 overlapping findings from multiple code reviewers into a single report?▼

Consolidated reporting merges duplicate findings from security, performance, architecture, testing, and accessibility reviewers by prioritizing clarity and attribution. It generates a unified summary template that eliminates redundant feedback across complex code changes.

What is the best way to assign code review dimensions for a new API endpoint?▼

Dimension allocation provides guidance on selecting appropriate review dimensions like security, performance, and architecture based on the scenario. For a new API endpoint, it helps assign specific reviewers to ensure parallel multidimensional coverage.

How do I calibrate severity ratings consistently across different code review dimensions?▼

Severity calibration offers a framework for consistently rating code review findings based on impact and likelihood. This ensures that security, performance, and accessibility issues are evaluated on a standardized scale for reliable prioritization.

Can I use parallel code reviews for complex changes that modify user authentication flows?▼

Yes, parallel code reviews coordinate multiple quality dimensions including security and architecture for complex changes like authentication flow modifications. The process deduplicates findings and generates a consolidated report for the development team.

When do I need multi-dimensional code reviews instead of a standard single review?▼

Multi-dimensional code reviews are needed when complex changes require parallel analysis across security, performance, architecture, testing, and accessibility. They provide finding deduplication and severity calibration that standard single reviews lack.

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