Skill UI

Automates guidance for configuring Google Cloud Logging sinks, offering best practices, production-ready configurations, and validation steps across compute, storage, BigQuery, Vertex AI, and related services.

Automates Cloud Run service configuration within GCP, providing step-by-step guidance, best practices, ready-to-deploy configs, and validation for compute, storage, BigQuery, and Vertex AI workflows.

Automates cloud security posture assistance within the Security Advanced domain, guiding practitioners through best practices, compliance checks, threat modeling, and prod-ready configurations whenever they mention cloud security posture.

Automated Cloud SQL setup guidance that activates within GCP Skills and delivers step-by-step configuration, production-ready code, and validation against best practices for compute, storage, BigQuery, Vertex AI, and other GCP services.

Automates AWS CloudFront distribution setup with step-by-step guidance, production-ready configurations, and validation against best practices for compute, storage, networking, and serverless workloads.

Automate Cloudinary media workflows—folder creation, upload preset configuration, asset lookup, transformation generation, usage monitoring, and webhook setup—via natural-language commands routed through the Rube MCP server.

Automates CloudWatch alarm setup by providing best-practice guidance, sample configurations, and validation for AWS compute, storage, networking, and serverless workloads.

A specialist tool designed to generate, format, and validate comprehensive technical documentation. It supports multiple standards, including Google/NumPy docstrings (for Python), JSDoc (for TypeScript), and full OpenAPI/Swagger specifications. Key features include automated detection of code languages and frameworks, robust validation of code examples (using tools like doctest and OpenAPI linters), and generating structured user guides or site configurations.

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.

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.

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.

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.