Skill UI

A comprehensive guide for diagnosing and resolving common configuration, authentication, and runtime errors when integrating the Clerk authentication SDK. Covers issues like missing environment variables, middleware setup, session mismatches, and component usage in Next.js environments.

A comprehensive guide for deploying applications authenticated with Clerk to various major hosting platforms, including Vercel, Netlify, Railway, and custom Docker setups. It details environment variable setup, domain configuration, webhook handling, and provides post-deployment verification scripts to ensure a robust production environment.

A comprehensive guide demonstrating how to implement robust authentication using Clerk across various modern web environments, including Next.js Server Components, Client Components, API routes, and Server Actions. Learn best practices for securing endpoints, managing session data, and handling authenticated requests from end-to-end.

This guide provides a comprehensive walkthrough for installing and configuring the Clerk SDK for various frameworks (Next.js, React, Express). It covers setting up environment variables, implementing the ClerkProvider, configuring middleware for route protection, and setting up sign-in/sign-up pages. Use this skill when integrating Clerk for secure, managed user authentication into a new application.

This comprehensive guide outlines essential, production-grade security best practices for implementing Clerk authentication. It covers securing environment variables, hardening middleware with crucial security headers (like CSP, X-Frame-Options), protecting API routes with granular authorization checks, and verifying webhooks using signature validation (svix). Use this when deploying or auditing an application to ensure maximum security posture.

This skill simulates a documentation expert, capable of generating comprehensive, maintainable technical documentation directly from source code. It analyzes codebases to produce various artifacts, including API documentation, system architecture diagrams, comprehensive user guides, and technical reference manuals. It is essential for standardizing documentation and building automated documentation pipelines in large, complex projects.

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.

A comprehensive expert system for analyzing software codebases to identify, quantify, and prioritize technical debt across various dimensions (code, architecture, testing, infrastructure). It provides detailed metrics, impact assessments (development velocity, quality loss), and actionable, prioritized remediation roadmaps with clear ROI projections.

This comprehensive template provides a production-grade reference architecture for CodeRabbit AI code reviews. It is designed to guide teams in establishing rigorous coding standards by defining specific, best-practice instructions for various layers (API, Database, Authentication, Frontend, CI/CD, Infrastructure). Use this as a robust starting point to build a comprehensive, automated, and secure code quality review process.

This comprehensive guide details how to implement robust webhook endpoints for CodeRabbit, an AI-powered code review tool. It covers essential security practices, including signature validation (HMAC-SHA256), and provides structured methods for handling various event types (e.g., PR reviews, check run completions, comments). Use this skill when integrating CodeRabbit into CI/CD pipelines to automate notifications, track metrics, and enforce quality gates.

This skill is designed to configure a Rails project workspace to function correctly within Conductor, a platform for parallel coding agents. It sets up the necessary scaffolding, including `conductor.json`, executable setup scripts, and server scripts. Additionally, it updates critical Rails configuration files (such as Sidekiq, Cable, and development environment settings) to ensure proper environment variable handling, Redis isolation, and port management for reliable parallel agent execution.

This expert guides users through advanced, data-driven content marketing strategies. It covers AI-powered content creation, comprehensive SEO optimization, omnichannel distribution, social media management, email automation, and performance analytics. Use it when developing comprehensive content plans, maximizing online reach, or optimizing conversion funnels across various digital platforms.