Skill UI

A comprehensive guide and implementation framework for managing real-time data flow using Clay's event-driven architecture. This skill covers both inbound webhooks (POSTing data into Clay tables) and outbound HTTP API callbacks (receiving enriched data from Clay). It provides production-ready TypeScript code for setup, signature verification, and idempotent processing, enabling robust, event-driven integrations.

This guide provides comprehensive strategies to optimize costs associated with Clerk authentication services. It details understanding the MAU pricing model, implementing route-level authentication controls, utilizing caching techniques to reduce API calls, and scripting the cleanup of inactive users, helping maintain compliance and controlling expenditure.

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 comprehensive strategies for managing rate limits and quotas when interacting with the Clerk API. It covers implementing robust retry logic using exponential backoff for 429 errors, optimizing bulk operations through batching, establishing multi-level caching (in-memory/Redis) to reduce API calls, and monitoring usage to ensure stability in high-traffic production environments.

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.

Automates Cloudflare API operations through Composio’s toolkit via Rube MCP, guiding users to discover current tool schemas, confirm active connections, and execute schema-compliant workflows for managing edge resources reliably.

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 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 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.

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.

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.