multi-reviewer-patterns

Solid

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.

AI & Automation 36,649 stars 3968 forks Updated today MIT

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Skill Content

# 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, Performanc...

Details

Author
wshobson
Repository
wshobson/agents
Created
10 months ago
Last Updated
today
Language
Python
License
MIT

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