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.

Python SDK for Azure Event Hubs enabling high-throughput streaming ingestion, batching, checkpointing, and both synchronous and asynchronous producers and consumers for cloud event pipelines.

Python SDK for Azure Event Hubs enabling high-throughput streaming ingestion, batching, checkpointing, and both synchronous and asynchronous producers and consumers for cloud event pipelines.

Azure Functions is a powerful serverless compute service that allows developers to run event-driven workflows without managing underlying infrastructure. This guide details modern development patterns for .NET, Node.js, and Python, covering best practices like isolated workers, asynchronous programming (async/await), and recommended patterns (e.g., IHttpClientFactory). It also warns against common anti-patterns to ensure robust and scalable cloud solutions.

Azure Functions is a powerful serverless compute service that allows developers to run event-driven workflows without managing underlying infrastructure. This guide details modern development patterns for .NET, Node.js, and Python, covering best practices like isolated workers, asynchronous programming (async/await), and recommended patterns (e.g., IHttpClientFactory). It also warns against common anti-patterns to ensure robust and scalable cloud solutions.

Java SDK for sending custom logs to Azure Monitor via Data Collection Rules and Endpoints, offering synchronous, asynchronous, batching, concurrency, and error-handling workflows to reliably ingest logs into Log Analytics.

Python SDK for querying Azure Monitor logs and metrics, offering synchronous and asynchronous clients, batch queries, DataFrame conversion, aggregation tools, and support for handling partial results in Log Analytics and metric workspaces.

SDK for Python to manage Azure Storage File Shares, enabling creation, listing, directories, and file-level operations (upload, download, range, snapshots) with synchronous and asynchronous clients.

SDK for Azure Queue Storage in Python that enables reliable message queuing, asynchronous task workflows, and easy send/receive/delete operations with synchronous and async clients for cloud-native applications.

Mastery of BullMQ for building scalable, production-grade job queues using Redis. This skill covers complex asynchronous workflows, including job scheduling, delayed execution, dependency management, and rate-limiting. Ideal for decoupling services and ensuring reliable background processing in Node.js/TypeScript applications.

Guides engineers through DeepSpeed distributed training and NVMe I/O optimizations, covering ZeRO, pipeline parallelism, mixed precision, and DeepNVMe handles for synchronous and asynchronous tensor storage.