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AI-Powered Code Review Specialist

code-review-ai-ai-review

sickn33/antigravity-awesome-skills

An expert AI specialist that integrates advanced static analysis (e.g., CodeQL, SonarQube) with modern DevOps practices. It performs multi-layered code reviews, checking for security vulnerabilities, performance bottlenecks, architectural flaws, and adherence to best practices across various languages. Ideal for CI/CD pipelines and pull request validation.

Code Splitting Helper

code-splitting-helper

jeremylongshore/claude-code-plugins-plus-skills

Automated skill providing code splitting guidance for frontend development, covering React/Vue/CSS, modern performance and accessibility best practices, and producing validated, production-ready configurations.

Dependency Audit and Security Analysis

codebase-cleanup-deps-audit

sickn33/antigravity-awesome-skills

This skill functions as a dedicated dependency security expert, specializing in auditing project dependencies. It analyzes codebases for known security vulnerabilities, license compliance issues, outdated packages, and overall supply chain risks. It provides comprehensive, actionable remediation strategies and detailed risk reports to keep software supply chains secure and compliant.

Debugging CodeRabbit Configuration Issues

coderabbit-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive troubleshooting guide for diagnosing and fixing common operational and configuration issues with the CodeRabbit PR review bot. Use this guide when reviews fail to post, scope is incorrect, comments are excessive, or configurations are ignored. It covers steps for checking GitHub permissions, YAML syntax, and advanced bot interaction commands.

CodeRabbit Automated PR Code Review

coderabbit-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This skill executes CodeRabbit's core workflow, providing automated, in-depth code reviews directly on pull requests. It analyzes code diffs based on custom rules (e.g., API validation, DB security), generates detailed walkthrough summaries, and posts line-level feedback. Ideal for setting up robust CI/CD quality gates and maintaining high code standards throughout the development lifecycle.

Tuning Code Review Quality with AI

coderabbit-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This skill guides users on fine-tuning CodeRabbit's review quality. It teaches the AI agent team preferences through PR feedback, integrates custom code guidelines (e.g., security policies), allows customization of the review tone, and implements path filters to drastically reduce false positives and noise. This ensures that all code feedback is highly relevant, actionable, and aligns with specific team standards.

CodeRabbit Cost and Usage Optimization

coderabbit-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing costs associated with AI code review tools like CodeRabbit. Learn strategies for right-sizing seat allocation, scoping services to high-value repositories, and implementing granular file filters to minimize unnecessary AI processing and billing overhead. Essential for managing SaaS spend in a DevOps environment.

CodeRabbit Debug Bundle for Troubleshooting

coderabbit-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

Collects comprehensive diagnostic evidence for troubleshooting CodeRabbit integration issues. This bundle checks the App installation status, validates the `.coderabbit.yaml` configuration, reviews recent PR history, and verifies GitHub webhook deliveries. Essential for preparing support tickets and diagnosing complex SaaS integration failures.

CodeRabbit AI Deployment Integration

coderabbit-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill guides the comprehensive, multi-step rollout of CodeRabbit AI code review across an entire organization. It covers setting organization-level defaults, customizing team-specific review rules (e.g., API security, frontend performance), and automating deployment via multi-repo scripts and branch protection enforcement. Use when establishing standardized, high-quality AI code review practices company-wide.

CodeRabbit Enterprise RBAC Configuration

coderabbit-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Manages CodeRabbit's enterprise access control, seat assignment, and organization-wide policies. This is crucial for large organizations needing centralized control over who receives AI code reviews, defining global coding standards via YAML, and implementing granular Role-Based Access Control (RBAC) across multiple repositories and teams. Use when scaling AI code quality checks across multiple departments.

Setting Up CodeRabbit AI Code Review

coderabbit-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a step-by-step walkthrough for setting up automated AI code reviews using CodeRabbit. It covers creating the necessary `.coderabbit.yaml` configuration file, defining path-specific instructions, triggering reviews via Pull Requests (PRs), and interacting with the feedback using PR comments or the local CLI. Essential for integrating quality gates into CI/CD workflows.

CodeRabbit Setup and Integration Guide

coderabbit-install-auth

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide on installing and configuring CodeRabbit AI, an advanced AI-powered code review platform. Learn how to integrate CodeRabbit into your GitHub or GitLab repositories via App installation, CLI setup, and YAML configuration. Use this guide when setting up the service for the first time or connecting it to new repositories to ensure automated, high-quality code reviews on every pull request.

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