github-code-review

What problem does it solve?

This Skill revolutionizes GitHub code reviews by deploying specialized AI agents to perform comprehensive, intelligent analysis. It eliminates human oversight, speeds up review cycles, and ensures consistent quality, security, and performance standards across your codebase.

Core Features & Use Cases

• Multi-Agent Review System: Deploys specialized AI agents (security, performance, architecture, style, accessibility) for parallel, in-depth code analysis.
• PR-Based Swarm Management: Creates and manages AI swarms directly from Pull Request data, with label-based agent assignment and dynamic topology selection.
• Intelligent Comment Generation & Quality Gates: Generates contextual review comments with suggested fixes and enforces quality gates to block merges on critical issues.
• Use Case: When a critical security patch is submitted, use this Skill to automatically trigger a multi-agent review with a dedicated "security" agent, ensuring all OWASP top 10 vulnerabilities and secret exposures are identified and addressed before merging.

Quick Start

Initialize a review swarm for a Pull Request by piping PR data to npx ruv-swarm github review-init --pr 123. Then, post an initial status comment to the PR.