Skill UI

An expert framework for creating realistic API mock services. It simulates real API behavior and contracts, enabling developers to build and test frontend components or integration workflows in parallel, even before the actual backend service is complete. Ideal for testing, demo environments, and validating API contracts.

This skill provides a minimal working example for integrating with the Apollo.io API. It demonstrates the three core operations: searching for people, enriching individual contacts (to get emails/phones), and enriching entire organizations. It is ideal for developers starting a new Apollo integration, testing API setup, or learning basic data enrichment patterns.

Provides a comprehensive guide on authenticating and setting up the Apollo.io API client. This guide covers installation steps for both Node.js (axios) and Python (requests), demonstrating best practices for handling API keys securely using environment variables and verifying the connection status using the /auth/health endpoint.

An advanced guide for optimizing API interaction with Apollo.io. This skill covers critical performance enhancements including implementing connection pooling, setting per-endpoint time-to-live (TTL) caching, utilizing bulk enrichment endpoints for efficiency, and controlling concurrency during parallel searches. It also demonstrates how to slim down large API response payloads to reduce memory and bandwidth usage.

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

This comprehensive guide demonstrates how to use the Azure Management SDK for Python to programmatically manage Azure Bot Service resources. It covers the full lifecycle, including creating, listing, updating, and deleting bots, configuring various communication channels (Teams, Direct Line, Web Chat), and setting up OAuth connections. Ideal for developers building sophisticated conversational AI solutions.

This comprehensive guide demonstrates how to use the Azure Management SDK for Python to programmatically manage Azure Bot Service resources. It covers the full lifecycle, including creating, listing, updating, and deleting bots, configuring various communication channels (Teams, Direct Line, Web Chat), and setting up OAuth connections. Ideal for developers building sophisticated conversational AI solutions.

This module provides comprehensive connection methods for Azure Database for PostgreSQL Flexible Server using Node.js and TypeScript with the pg package. It supports both traditional password authentication and modern, recommended Microsoft Entra ID (passwordless) authentication. The guide demonstrates best practices, including connection pooling, parameterized queries to prevent SQL injection, and robust transaction management (BEGIN/COMMIT/ROLLBACK).

Utilize the Azure Key Vault Keys Java SDK to perform comprehensive key lifecycle management and cryptographic operations. This guide covers creating, retrieving, updating, and deleting various key types (RSA, EC, Symmetric) in both standard Azure Key Vault and Managed HSM. It demonstrates key operations such as encryption, decryption, signing, and verifying data using Java.

A comprehensive guide on using the Azure Service Bus SDK in TypeScript for enterprise messaging. It demonstrates core asynchronous patterns, including sending/receiving messages from queues, publishing to topics with subscriptions, managing message sessions, and handling advanced features like dead-lettering and scheduled messages. Essential for building robust, scalable, event-driven microservices.

This comprehensive guide demonstrates how to integrate external applications with the Clay platform using webhooks. Users learn to send raw data (such as company domains or lead information) via API calls in multiple popular languages (cURL, Python, Node.js). Clay automatically processes this data through configured enrichment columns and returns enriched, structured results. This is essential for building robust data pipelines and testing webhook setups.