multi-reviewer-patterns
FeaturedCoordinate 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.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- wshobson
- Repository
- wshobson/agents
- Created
- 1 years ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
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.
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.
code-reviewer
Activates CodeReviewer for systematic, multi-dimensional code review. Use when you need a pull request reviewed for correctness, security vulnerabilities, performance bottlenecks, architectural quality, test coverage gaps, or maintainability issues. Produces a structured review with severity-labeled findings and actionable fixes.