multi-reviewer-patterns

Featured

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 38,975 stars 4150 forks Updated 2 days ago MIT

Install

View on GitHub

Quality Score: 96/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

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
1 years ago
Last Updated
2 days ago
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Listed

multi-review

Use when reviewing almost any meaningful artifact, decision, action, plan, code change, prompt, skill, research summary, outbound message, or public-facing content. Runs a small panel of diverse review lenses across model families when available, synthesizes findings into fix/ask/defer/wontfix decisions, and iterates until the result is ready.

0 Updated today
TechNickAI
Code & Development Listed

multi-review

Multi-agent code review with a router and niche specialists. Load when the user invokes `/multi-review`, says "multi-reviewer", "review with a team", "review this PR with specialists", "team review", "thorough review", or otherwise asks for a multi-aspect code review (security + cloud-functions + frontend + edge-cases) of a diff or branch. Routes the diff to relevant specialist sub-agents in parallel, then the main agent synthesizes findings into one greptile-style report.

12 Updated 2 days ago
meanllbrl
Code & Development Featured

code-reviewer

Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.

11,089 Updated 1 weeks ago
Jeffallan