Skill UI

Automates guidance, code, and configuration for Google Cloud Function scenarios, helping engineers follow best practices for compute, storage, BigQuery, Vertex AI, and other GCP services.

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.

Guides GCP cloud monitoring alert tasks by detailing steps, configs, production-ready code, and validation whenever alert-related requests arise for compute, storage, BigQuery, Vertex AI, or native 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.

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.

Consolidated Cloudflare deploy helper covering Workers, Pages, durable objects, and related infrastructure; follow the decision trees to select the right service, authenticate with Wrangler, and rerun with escalated sandbox permissions when networking is blocked.

Expert guide for designing robust, scalable, and resilient backend systems. Covers modern patterns including Microservices, Event Sourcing, CQRS, and advanced API contracts (REST, GraphQL, gRPC). Specializes in defining service boundaries, implementing distributed transactions (Saga), and integrating comprehensive security measures like OAuth 2.0 and mTLS.

A comprehensive workflow designed to orchestrate the entire lifecycle of large-scale features, from initial requirement gathering and architectural design through multi-service implementation, rigorous testing, and modern deployment strategies (e.g., canary, blue-green). Use this skill when coordinating complex, cross-functional feature delivery across frontend, backend, and data teams, ensuring quality and consistency at every phase.

This skill covers the end-to-end development of cross-browser extensions (Chrome, Firefox). Expertise includes mastering Manifest V3, structuring complex architecture (service workers, content scripts), managing local/sync storage, building user interfaces, and implementing monetization models. Ideal for building robust, production-ready tools and navigating store publishing policies.

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.

A comprehensive runbook for handling CodeRabbit service outages or malfunctions. It provides step-by-step procedures for quick triage, emergency bypasses (P1), checking installation health (P2), diagnosing delays (P3), and tuning incorrect review behavior (P4). Essential for maintaining continuous CI/CD workflows when the review bot fails.

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.