github-code-review

Automate GitHub PR reviews by initializing a swarm on a pull request to coordinate AI agents that inspect changes and compile a unified report. You trigger the swarm using the gh CLI and ruv-swarm, specifying the PR number and the agents to run.

Multi-agent orchestration for code review runs diverse AI agents in parallel to evaluate code quality, security, performance, and architecture simultaneously. This approach boosts speed and consistency across medium to large PRs with multiple modules.

Yes, you can run parallel code reviews on large pull requests by coordinating a swarm of AI agents. This Skill targets software projects with medium to large PRs across multiple modules, using parallel execution to deliver timely and thorough feedback.

You need to install the gh CLI, ruv-swarm, and claude-flow on your machine to use AI-driven GitHub PR management. These prerequisites provision the environment required to initialize swarms and run automated code reviews.

Generate automated comments and enforce quality gates by running the full swarm on a PR with agents like security, performance, architecture, and style. The swarm publishes results, summarizes findings, and applies integrated quality gates.

No, this automated code review tool requires external dependencies including the gh CLI, ruv-swarm, and claude-flow to function. You must provision these prerequisites before initializing a swarm for a pull request.