Skill UI

This mandatory guide provides comprehensive patterns and best practices for building production-ready MCP (Micro-Cloud Platform) servers using the mcp-use framework. It covers the entire development lifecycle, including project scaffolding, core architecture, implementing backend tools and resources, and integrating advanced authentication methods (OAuth, Auth0, Keycloak, etc.). It is essential reading before creating or modifying any MCP server.

Guides choosing between direct, queue-based, and event-driven Clay enrichment architectures by scale, latency, and cost, helping teams integrate or migrate Clay workflows with code snippets, tradeoffs, and error-handling advice.

Guides teams through a Clay re-architecture, using the strangler fig pattern to inventory integrations, build adapter layers, migrate batches of data, and shift traffic safely before cutting over.

A comprehensive guide detailing reference architecture patterns for implementing Clerk authentication in modern, enterprise-grade applications. Covers best practices for Next.js full-stack, microservices, multi-tenant SaaS, and cross-platform mobile/web synchronization, ensuring secure and scalable authentication flows.

Master the complete lifecycle of building professional, cross-browser browser extensions for Chrome and Firefox. This expertise covers modern extension architecture, implementing Manifest V3 (MV3), developing content scripts, service workers, and popup UIs. Furthermore, it includes strategies for extension monetization and successful publishing on the Chrome Web Store, ensuring the built tool solves real-world user problems.

A comprehensive guide for designing production-grade lead enrichment pipelines in Clay. Covers three integration patterns (Webhook, API), detailed table schema design, advanced data waterfall logic, implementing complex ICP scoring formulas, and setting up robust CRM synchronization flows for go-to-market data operations.

Provides auto-activated guidance for code documentation analyzer tasks, recommending best practices, generating ready-to-use docs or configs, and validating API, user-guide, and architecture documentation.

This skill acts as a code education expert, specializing in breaking down complex code, algorithms, or system architecture. It transforms difficult technical concepts into understandable explanations using clear narratives, visual diagrams, and step-by-step breakdowns. Ideal for creating learning materials, onboarding guides, or detailed technical reviews for developers of all levels.

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.

Analyzes diffs, architecture, and tests to spot bugs, SQL injection, XSS, N+1 queries, and maintainability smells, then produces prioritized, actionable reports ideal for PR reviews, quality audits, and refactoring planning.

Guides engineering teams through major CodeRabbit rearchitecture and migration using the strangler fig approach, staged adapter/data moves, gradual traffic shifts, rollback options, and validation checks.

Defines the CodeRabbit reference architecture for configuring AI-driven code reviews with repository settings, path-specific rules, and CI gating to enforce consistent standards during pull request workflows.