Code Review plugins

Orchestrate multi-dimensional code reviews with specialized agents covering architecture, security, performance, and best practices. Analyze git diffs between branches to generate detailed PR descriptions, file stats, and impact assessments.

Generate multi-format documentation (API specs, architecture guides, READMEs, tutorials) from codebase analysis, and perform AI-driven code review for security and performance issues

Analyzes code for smells, SOLID violations, and technical debt, then autonomously refactors legacy codebases using the strangler fig pattern, with context restoration from vector storage to maintain project understanding.

Automate pull request creation with integrated code review, quality gates, and conventional commits. Also generates onboarding plans for new hires and provides autonomous security and performance analysis of code changes.

Orchestrate test-driven development with red-green-refactor cycles: automatically generate failing tests, implement minimal code to pass, and refactor safely while keeping tests green. Includes autonomous code review for security and performance issues.

Run Codex-powered code reviews and delegate complex coding, debugging, or root-cause tasks from within Claude Code. Supports git-scoped reviews, background job management, adversarial analysis, and subagent delegation.

Transforms Claude Code into a learning and development platform with systematic reading coaching, personalized AI tutoring, code review with actionable improvement plans, skill creation and auditing, and wiki knowledge base compilation from documents.

Run multiple specialized review agents against git changes to catch issues in comments, test coverage, error handling, type design, code quality, and simplification, then get a prioritized action plan

Automate an iterative code review loop where Claude implements a task, Codex independently reviews the code, and Claude addresses the feedback until resolved

Review code for quality, performance, security, architecture, and testing, receiving line-level feedback, a 1-10 rating, and prioritized improvement suggestions.

Automate the entire GitHub pull request workflow: commit conventionally, create PRs, review code, resolve comments, and manage branches, all from the CLI.

Automatically fetches unresolved PR comments and addresses reviewer feedback with targeted code improvements, streamlining the review process.

Automates the resolution of GitHub PR review comments by fetching suggestions, planning fixes, and applying changes directly to the codebase, streamlining the code review workflow.

Perform comprehensive code reviews with line-level feedback, a 1-10 quality rating, and prioritized improvement suggestions covering performance, security, architecture, and testing.

Automatically analyze GitHub pull request comments and suggestions, then plan and apply fixes to resolve all requested changes, streamlining the code review process.

Automatically fetch and fix unresolved PR comments by addressing reviewer feedback, streamlining the code review process.

Automatically fetches unresolved PR comments on the current branch, then addresses each reviewer concern with targeted code fixes to streamline the review process.

Analyzes code changes and pull requests for quality, performance, security, architecture, and testing issues, providing line-level feedback, a 1-10 rating, and prioritized improvement suggestions.

Automates code review by fetching GitHub PR comments and suggestions, then planning and applying fixes to resolve requested changes.

Send code packed with repomix to ChatGPT Pro (web-only) for second-opinion code reviews, bug analysis, and design feedback, all from within Claude Code.

Automate open-source project maintenance on GitHub: triage issues, review pull requests, manage releases, diagnose CI/CD pipelines, and score repository health using specialized agents and skills.

Automatically resolve GitHub PR review comments by fetching suggestions, planning fixes, and applying changes to streamline code review workflows.

Coordinate parallel AI coding agents by preventing simultaneous file writes across git worktrees, enforcing a signoff review step before any file modifications to avoid merge conflicts.