AI agent skill

Multi Reviewer Patterns

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.

·

When to use this skill

Use Multi Reviewer Patterns when an AI agent needs a reusable SKILL.md workflow for this job: 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.

When not to use it

Skip Multi Reviewer Patterns when the task is outside the coding category, or when a more specific skill in this directory already covers the same workflow with clearer triggers.

How to install

  1. Personal install: create ~/.claude/skills/multi-reviewer-patterns/SKILL.md (and any bundled scripts) so Claude Code, Claude Desktop, and compatible agents can load it in every project.
  2. Project install: commit the same folder at .claude/skills/multi-reviewer-patterns/ so teammates get the skill with the repo.
  3. Restart the agent session after copying files so it re-scans the skills directory, then ask for the task in words that match the skill description.

Full install guide for Claude, Cursor, and Codex

What this skill does

# 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

1. **Same file:line, same issue** — Merge into one finding, credit all reviewers 2. **Same file:line, different issues** — Keep as separate findings 3. **Same issue, different locations** — Keep separate but cross-reference 4. **Conflicting severity** — Use the higher severity rating 5. **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

```markdown ## 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} ```

Intended uses

  • 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

Related skills

Related skills in this directory, for comparison before you install another skill.

coding

Add Backend

Guide for adding a backend (Rust or Python) to the agent-sec-core security middleware. Use when creating new backends, integrating Rust or Python code into the security middleware, or extending with new backend actions.

View skill

coding

Agent Device

Drive iOS and Android devices for the Expensify App - testing, debugging, performance profiling, bug reproduction, and feature verification. Use when the developer needs to interact with the mobile app on a device.

View skill

Ranked Claude skills