multi-reviewer-patterns
Organizes parallel code reviews with consistent severity ratings and consolidated reporting.
Install
mkdir -p .claude/skills/multi-reviewer-patterns && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4415" && unzip -o skill.zip -d .claude/skills/multi-reviewer-patterns && rm skill.zipInstalls to .claude/skills/multi-reviewer-patterns
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.Key capabilities
- →Coordinate parallel code reviews
- →Deduplicate findings from multiple reviewers
- →Calibrate severity ratings
- →Generate consolidated review reports
- →Assign review dimensions
How it works
It applies merge rules to findings based on location and issue type, then calibrates severity across dimensions to produce a unified report.
Inputs & outputs
When to use multi-reviewer-patterns
- →Organizing complex security and performance reviews
- →Deduplicating code review feedback
- →Standardizing severity ratings
About this skill
Multi-Reviewer Patterns
Patterns for coordinating parallel code reviews across multiple quality dimensions, deduplicating findings, calibrating severity, and producing consolidated reports.
When to Use This Skill
- Organizing a multi-dimensional code review
- Deciding which review dimensions to assign
- Deduplicating findings from multiple reviewers
- Calibrating severity ratings consistently
- Producing a consolidated review report
Review Dimension Allocation
Available Dimensions
| Dimension | Focus | When to Include |
|---|---|---|
| Security | Vulnerabilities, auth, input validation | Always for code handling user input or auth |
| Performance | Query efficiency, memory, caching | When changing data access or hot paths |
| Architecture | SOLID, coupling, patterns | For structural changes or new modules |
| Testing | Coverage, quality, edge cases | When adding new functionality |
| Accessibility | WCAG, ARIA, keyboard nav | For UI/frontend changes |
Recommended Combinations
| Scenario | Dimensions |
|---|---|
| API endpoint changes | Security, Performance, Architecture |
| Frontend component | Architecture, Testing, Accessibility |
| Database migration | Performance, Architecture |
| Authentication changes | Security, Testing |
| Full feature review | Security, Performance, Architecture, Testing |
Finding Deduplication
When multiple reviewers report issues at the same location:
Merge Rules
- Same file:line, same issue — Merge into one finding, credit all reviewers
- Same file:line, different issues — Keep as separate findings
- Same issue, different locations — Keep separate but cross-reference
- Conflicting severity — Use the higher severity rating
- Conflicting recommendations — Include both with reviewer attribution
Deduplication Process
For each finding in all reviewer reports:
1. Check if another finding references the same file:line
2. If yes, check if they describe the same issue
3. If same issue: merge, keeping the more detailed description
4. If different issue: keep both, tag as "co-located"
5. Use highest severity among merged findings
Severity Calibration
Severity Criteria
| Severity | Impact | Likelihood | Examples |
|---|---|---|---|
| Critical | Data loss, security breach, complete failure | Certain or very likely | SQL injection, auth bypass, data corruption |
| High | Significant functionality impact, degradation | Likely | Memory leak, missing validation, broken flow |
| Medium | Partial impact, workaround exists | Possible | N+1 query, missing edge case, unclear error |
| Low | Minimal impact, cosmetic | Unlikely | Style issue, minor optimization, naming |
Calibration Rules
- Security vulnerabilities exploitable by external users: always Critical or High
- Performance issues in hot paths: at least Medium
- Missing tests for critical paths: at least Medium
- Accessibility violations for core functionality: at least Medium
- Code style issues with no functional impact: Low
Consolidated Report Template
## Code Review Report
**Target**: {files/PR/directory}
**Reviewers**: {dimension-1}, {dimension-2}, {dimension-3}
**Date**: {date}
**Files Reviewed**: {count}
### Critical Findings ({count})
#### [CR-001] {Title}
**Location**: `{file}:{line}`
**Dimension**: {Security/Performance/etc.}
**Description**: {what was found}
**Impact**: {what could happen}
**Fix**: {recommended remediation}
### High Findings ({count})
...
### Medium Findings ({count})
...
### Low Findings ({count})
...
### Summary
| Dimension | Critical | High | Medium | Low | Total |
| ------------ | -------- | ----- | ------ | ----- | ------ |
| Security | 1 | 2 | 3 | 0 | 6 |
| Performance | 0 | 1 | 4 | 2 | 7 |
| Architecture | 0 | 0 | 2 | 3 | 5 |
| **Total** | **1** | **3** | **9** | **5** | **18** |
### Recommendation
{Overall assessment and prioritized action items}
When not to use it
- →Single-reviewer code reviews
- →Projects without defined quality dimensions
Limitations
- →Requires manual input of reviewer findings
- →Severity calibration relies on defined criteria
How it compares
It automates the consolidation of feedback from multiple sources, ensuring consistent severity and reducing redundant effort.
Compared to similar skills
multi-reviewer-patterns side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| multi-reviewer-patterns (this skill) | 1 | 6mo | No flags | Intermediate |
| github-code-review | 13 | 2mo | Review | Advanced |
| reviewing-nextjs-16-patterns | 11 | 8mo | Review | Intermediate |
| agent-code-analyzer | 3 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by wshobson
View all by wshobson →You might also like
github-code-review
ruvnet
Comprehensive GitHub code review with AI-powered swarm coordination
reviewing-nextjs-16-patterns
djankies
Review code for Next.js 16 compliance - security patterns, caching, breaking changes. Use when reviewing Next.js code, preparing for migration, or auditing for violations.
agent-code-analyzer
ruvnet
Agent skill for code-analyzer - invoke with $agent-code-analyzer
code-review-ai-ai-review
sickn33
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
code-review-developer
anyproto
Context-aware routing to code review guidelines. Use when reviewing pull requests, providing code feedback, or discussing review standards.
codex-code-review
tyrchen
Perform comprehensive code reviews using OpenAI Codex CLI. This skill should be used when users request code reviews, want to analyze diffs/PRs, need security audits, performance analysis, or want automated code quality feedback. Supports reviewing staged changes, specific files, entire directories, or git diffs.