Skill UI

A comprehensive guide detailing best practices for optimizing Angular applications. It covers critical topics like change detection strategies (OnPush, Signals), managing asynchronous data flows (avoiding waterfalls), optimizing bundle size via lazy loading and tree shaking, and improving rendering efficiency with modern features like @defer and trackBy. Use this when building, reviewing, or refactoring complex Angular components for peak performance.

Automate Apify web scraping Actors inside Claude Code to run crawlers synchronously or asynchronously, manage datasets, inspect logs, create reusable tasks, and pull structured results without leaving your workflow.

This module provides production-ready TypeScript patterns for interacting with the Apollo.io REST API. It implements critical best practices including type-safe client setup (using Zod), custom error handling, exponential backoff retry logic, asynchronous pagination, and rate-aware bulk processing. Use this when building reliable, scalable, and robust integrations with Apollo data.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

A comprehensive guide and client library for interacting with Azure Cosmos DB, a globally distributed, multi-model NoSQL database, using Python. It provides full support for performing document CRUD operations, executing complex partitioned and cross-partition queries, managing containers, and handling advanced concepts like throughput and asynchronous operations.

A comprehensive Python SDK for interacting with Azure Table Storage and Cosmos DB Table API. This library enables developers to perform full NoSQL key-value operations, including creating, reading, updating, and deleting (CRUD) entities, executing complex queries using filtering, and managing batch transactions. It supports both synchronous and asynchronous operations, making it ideal for building resilient, high-throughput cloud applications.

This SDK provides a dedicated Python interface for securely sending custom logs to Azure Monitor Log Analytics workspace. It utilizes the Logs Ingestion API, supporting features like batch compression, advanced error handling, asynchronous uploads, and compatibility with various authentication models, including sovereign clouds.

This SDK provides a comprehensive Java client for interacting with Azure Monitor. It allows developers to execute powerful Kusto Query Language (KQL) queries against Log Analytics workspaces to retrieve detailed operational logs, and to query time-series metrics from various Azure resources. It supports both synchronous and asynchronous operations, making it ideal for building monitoring, auditing, and analytics features in Java applications.

The comprehensive official SDK for implementing enterprise-grade messaging patterns in .NET applications. It provides reliable connectivity to Azure Service Bus, supporting queues, topics, subscriptions, and ordered sessions. Ideal for building microservices, asynchronous communication, and durable event-driven architectures.

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 SDK provides a comprehensive Python interface for interacting with Azure Blob Storage, Microsoft's scalable object storage service. It enables users to perform core object storage operations, including uploading, downloading, listing, deleting blobs, managing containers, and setting custom metadata. The library supports both synchronous and asynchronous workflows, making it ideal for building robust data pipelines, data lakes, or cloud-native applications that require reliable, scalable file storage.