Github Code Review
Skill Verified ActiveComprehensive GitHub code review with AI-powered swarm coordination
To significantly enhance code quality and review efficiency on GitHub by leveraging AI-driven swarm coordination for deep, multi-faceted code analysis.
Features
- Multi-agent AI code review system
- Specialized agents for security, performance, architecture, and style
- Automated PR swarm management and assignment
- Integration with CI/CD pipelines and PR comments
- Quality gates and automated status checks
Use Cases
- Automating comprehensive code reviews for pull requests
- Enforcing security, performance, and architectural standards
- Integrating AI-driven code analysis into CI/CD workflows
- Providing actionable feedback on code quality and best practices
Non-Goals
- Replacing human code review entirely
- Performing automated code fixes beyond style suggestions
- Managing the entire GitHub project lifecycle
- Operating outside of the GitHub ecosystem
Installation
npx skills add ruvnet/rufloRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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