Skill UI

This guide provides a comprehensive workflow for developing and testing with Persona's identity verification services in a controlled sandbox environment. It details setting up local environment variables, tunneling webhooks using ngrok, creating test inquiries via API, and mocking API responses for robust unit and integration testing.

A comprehensive reference guide and implementation example for integrating Persona into your Know Your Customer (KYC) service flow. This skill covers the service architecture, inquiry lifecycle management, webhook-driven processing, and standard compliance patterns. Use it when building identity verification systems that require robust, multi-step verification processes using the Persona API.

This guide demonstrates how to set up a secure and robust webhook endpoint to process identity verification events from Persona. It covers essential security practices, including HMAC signature verification using TypeScript and Express, handling critical KYC lifecycle events (like inquiry approval/declination), and implementing idempotent processing to prevent data duplication. Ideal for integrating third-party identity services into a web application.

This detailed workflow guides developers through essential Ethereum Virtual Machine (EVM) transaction processes using QuickNode infrastructure. It covers core functionalities such as initiating ETH transfers, calling smart contract write functions, setting up real-time event listeners via WebSocket, and accurately estimating gas costs. It is ideal for building robust decentralized applications (dApps) and blockchain backend services.

This document provides a comprehensive, production-grade reference architecture for integrating with the SalesLoft API. It details the best practices for building robust systems, including structured API clients with rate-limit handling, dedicated service layers for business logic (e.g., People Sync), reliable webhook processing, and background job scheduling. Use this guide when designing scalable, resilient, and maintainable integrations with external SaaS platforms.

This guide outlines production-ready patterns for integrating SerpApi into robust search services. It covers essential best practices, including defining typed result interfaces for type safety, implementing LRU caching to conserve API credits, and building multi-engine abstractions to handle various search types (web, news, images). It also demonstrates asynchronous search processing for non-blocking operations.

Master event-driven patterns within Snowflake using native alerts, email integrations, external functions, and cloud notification services (S3/GCS). This skill is essential for building robust, reactive pipelines that trigger actions (like sending alerts, calling external APIs, or ingesting data) in response to data changes or specific system events. Use cases include data quality checks, real-time monitoring, and automated notifications.

A comprehensive guide and implementation demonstrating how to handle API rate limits when interacting with AI services like Together AI. It details the token bucket algorithm for client-side throttling and provides robust retry mechanisms (exponential backoff) to manage 429 (Rate Limit Exceeded) and 5xx server errors, ensuring stable, high-throughput batch processing.

Seamlessly deploy Webflow-powered applications and APIs to leading cloud platforms like Vercel, Fly.io, and Google Cloud Run. This integration manages secure secret management, configures robust webhooks for event handling (e.g., form submissions, new orders), and includes comprehensive health checks, ensuring reliable, scalable, and continuous deployment for Webflow-based services.

Comprehensive guide for designing robust backend APIs within the Webiny framework. It details best practices for structuring features, distinguishing between Services (multi-method, singleton) and UseCases (single-method orchestrators, transient), managing dependencies via the DI container, and implementing advanced patterns like ServiceProviders for asynchronous bootstrapping. Essential for all backend API development.

This catalog provides a comprehensive set of foundational abstractions for building robust, scalable applications. It includes standardized interfaces for interacting with AI models, managing key-value data stores, publishing domain events, structured logging, and handling build parameters. Developers can rely on these abstractions to ensure modularity and consistency across different service layers.

A collection of core helper classes and abstractions designed for building robust and type-safe GraphQL APIs. These utilities standardize common response patterns (e.g., success, list, error, not found, unauthorized) and provide tools to define custom GraphQL schemas. Utilizing these abstractions ensures consistency, improves developer experience, and simplifies comprehensive error management across your backend services.