Skill UI

Establishes a complete local development loop for building and thoroughly testing Clay integrations. This setup allows developers to simulate the full data flow: pushing test data via webhooks, allowing Clay to perform cloud-based enrichment, and finally receiving the enriched results back to a local endpoint (via ngrok). Ideal for iterative development of data pipelines and webhooks.

Learn how to implement robust authentication and authorization flows using Clerk in Next.js. This guide covers configuring `clerkMiddleware` for route protection, protecting API endpoints with permission checks, customizing session claims (JWT), and generating secure tokens for external services like Supabase. Essential for building secure, enterprise-grade SaaS applications.

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.

Learn how to configure and implement robust backend endpoints to handle webhooks from Clerk. This guide covers processing user lifecycle events (creation, update, deletion) and organization events, ensuring seamless data synchronization to your external database. It emphasizes secure practices like Svix signature verification and idempotency protection.

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.

Builds robust and secure webhook receiver endpoints capable of handling events from external services (e.g., Stripe, GitHub). Key features include HMAC signature verification, idempotency checking, and asynchronous queue processing to prevent timeouts and ensure reliable event ingestion.

Comprehensive guide for configuring Bring Your Own Key (BYOK) for major AI providers, including OpenAI, Anthropic, Google Gemini, Azure, and custom endpoints. This allows users to bypass default quotas, manage costs directly with the source provider, and utilize a wide range of specialized models within the Cursor IDE. It covers setup steps, security best practices, and cost monitoring strategies.

This skill provides a comprehensive pipeline for deploying Customer.io integrations to major production cloud platforms, including Google Cloud Run, Vercel, AWS Lambda, and Kubernetes. It details best practices for secure deployment using dedicated secrets managers, integrating robust health check endpoints, and implementing blue-green strategies, ensuring reliable and scalable CI/CD workflows.

This guide outlines the complete MLOps workflow on Databricks. It covers feature engineering using Feature Store, tracking experiments with MLflow, managing model versions in the Model Registry, and deploying real-time inference endpoints via Mosaic AI Model Serving. Ideal for building robust, production-grade ML pipelines.

This comprehensive guide provides structured steps and code examples for upgrading Databricks Runtime versions and performing critical data migrations. It covers best practices for version compatibility checking, transitioning from Hive Metastore to Unity Catalog using methods like SYNC and CTAS, and updating deprecated API endpoints, ensuring a smooth platform evolution for data pipelines.

This guide implements Deepgram's callback and webhook mechanism for handling asynchronous audio transcription. It provides a complete workflow, including submitting audio for background processing, setting up a secure webhook endpoint (with HMAC signature verification), and managing job status using Redis. Essential for integrating robust, delayed voice processing results into a production backend system.

Guides REST and GraphQL API creation with endpoint planning, versioning, auth, rate limits, error handling, pagination, and OpenAPI docs to keep designs consistent when building or reviewing services.