Coordinate multi-agent code reviews for GitHub pull requests.
npx skills add https://github.com/ruvnet/ruvector --skill github-code-review-ruvnet
Please help me install this Agent Skill. Skill: github-code-review Source: https://github.com/ruvnet/ruvector/tree/main/.claude/skills/github-code-review Command: npx skills add https://github.com/ruvnet/ruvector --skill github-code-review-ruvnet
This skill automates AI-assisted code reviews by coordinating multiple specialized agents to analyze changes, enforce standards, and surface actionable feedback, significantly reducing cycle times.
Use the github-code-review skill to initialize a swarm for PR 123 and post results to the PR: gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123 gh pr comment 123 --body "🔍 Multi-agent code review initiated"
High-intent search queries and answers about installing and using this skill.
Automate code reviews for GitHub pull requests by orchestrating a multi-agent swarm to analyze PR diffs. The system delegates review tasks to specialized agents for security, performance, and architecture, then posts actionable inline comments and summaries directly to the PR via GitHub CLI.
Yes, you can use multiple AI agents to review security, performance, architecture, style, and accessibility in a PR. The swarm framework deploys these specialized agents in parallel to analyze changes and consolidate findings into actionable feedback.
Integrate automated PR reviews into CI/CD pipelines by applying predefined quality gates during the pull request process. The swarm framework evaluates consolidated findings from specialized agents to gate merges based on your configured quality standards.
The best way to generate inline review comments on a GitHub PR is using an AI-powered multi-agent system. It analyzes PR diffs and produces contextual inline comments alongside high-level summaries for stakeholders, which are posted directly using GitHub CLI.
Yes, multi-agent code review works for large pull requests. The system applies across PRs of all sizes by delegating analysis to specialized agents that review changes in parallel, ensuring comprehensive coverage regardless of diff size.
Initialize a swarm for a specific GitHub PR review by piping the PR diff data from GitHub CLI into the review-init command. This triggers the multi-agent analysis and allows you to post the review results directly back to the PR.
CornjebusCoordinate multi-agent code reviews for GitHub pull requests.
gautam-achieveaiPost review findings and summary comments on GitHub or Azure DevOps PRs.
aquariuscookOrchestrate AI agents to review GitHub pull requests for code issues.
julianobarbosaReview code for quality, bugs, security issues, and best practices using Codex.
