This deploys specialized AI agents to review your pull requests in parallel, each focusing on a different concern: security vulnerabilities, performance bottlenecks, architecture decisions, style violations, and accessibility issues. You pipe GitHub CLI output directly into the swarm commands, and it can auto-spawn agents based on PR labels or size. The security agent will block PRs with critical issues while others post comments with specific fixes. It's honestly overkill for small teams doing their own reviews, but if you're drowning in PRs or need consistent enforcement across a large codebase without waiting on human reviewers, the parallel specialized analysis is legitimately useful. Works best when integrated into CI pipelines.
npx -y skills add ruvnet/claude-flow --skill github-code-review --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
cursor/plugins
github/awesome-copilot
alirezarezvani/claude-skills
microsoft/win-dev-skills