multi-agent-review

What problem does it solve?

Coordinating thorough, multi-perspective code reviews is time-consuming and inconsistent when performed by a single reviewer; this Skill ensures parallel, domain-specific coverage and a single, deduplicated outcome that surfaces the most important issues first.

Core Features & Use Cases

• Parallel specialist dispatch: send the same diff and file context to Security, Architecture, Performance, and Maintainability reviewers concurrently.
• Structured reviewer contracts: each reviewer receives a scoped prompt and a required return format so findings are consistent and machine-mergeable.
• Merge, deduplicate, and prioritize: combine overlapping findings, tag which reviewers raised each issue, and sort by severity for clear triage.
• Modes of operation: supports self-review (pre-push fixes), colleague-assisted reviews (draft comments), and PR-based reviews (draft GitHub reviews for approval).
• Selective reviewer selection: choose a subset of specialists based on change type (e.g., Security + Architecture for auth/API changes).

Quick Start

Run the multi-agent-review skill on a pull request to produce a merged, severity-sorted review across security, architecture, performance, and maintainability.