Skill UI

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.

This is a comprehensive client library for interacting with Azure Blob Storage, Microsoft's scalable object storage solution for the cloud. It allows developers to perform core operations in Rust, such as uploading, downloading, listing, creating, and managing blobs and containers. Ideal for building cloud-native applications that require persistent, scalable data storage.

This SDK provides a full set of tools for interacting with Azure Blob Storage using JavaScript or TypeScript. It enables developers to perform essential object storage operations, including uploading, downloading, listing, creating, and managing both blobs and containers. Supports various authentication methods like DefaultAzureCredential and Connection Strings, making it ideal for building robust, cloud-native applications.

This SDK provides comprehensive Python support for Azure Data Lake Storage Gen2. It enables developers to interact with hierarchical file systems, performing essential big data operations such as creating, listing, uploading, downloading, and managing metadata for files and directories. Ideal for building data analytics pipelines and cloud-based data processing workflows.

This SDK provides comprehensive Python support for managing Azure File Shares, which function as SMB file shares in the cloud. It allows users to perform core operations including creating, listing, and deleting shares, managing nested directories, uploading, downloading, and copying files, and utilizing advanced features like snapshots and partial range operations. Ideal for cloud-native development and lift-and-shift migrations.

A comprehensive JavaScript/TypeScript SDK for interacting with Azure File Shares. This library facilitates full lifecycle management of SMB file shares, including creating, listing, and deleting shares, managing quotas, and performing robust file and directory operations (uploading via stream, buffer, or file paths; downloading streamed content). Ideal for modern cloud-native applications requiring persistent file storage.

A comprehensive Python SDK for interacting with Azure Queue Storage. This tool enables reliable, asynchronous communication patterns by managing message queuing, task distribution, and data processing workflows. It supports core operations including sending, receiving, peeking, updating, and deleting messages, making it ideal for building resilient, decoupled backend systems on Azure.

This SDK provides comprehensive JavaScript/TypeScript functionality for interacting with Azure Queue Storage. It allows developers to implement robust asynchronous message queue patterns, including sending, receiving, peeking, and deleting messages. It supports various authentication methods (DefaultAzureCredential, connection string, SAS token) for secure and scalable deployment in enterprise cloud applications.

A comprehensive SDK suite for implementing real-time messaging and pub/sub patterns using Azure Web PubSub with TypeScript. It utilizes WebSocket connections to facilitate robust communication, supporting features like group broadcasts, direct user messaging, and custom event handling. Ideal for building chat applications, live dashboards, and notification systems requiring high real-time performance.

Automates circuit breaker setup inside API integrations, triggering whenever you ask about patterns or best practices, then guiding through code, validation, webhooks, and SDK-related configurations.

This guide provides production-ready patterns for building robust integrations with the Clay platform. It covers interacting with Clay via webhooks (inbound data), HTTP API enrichment columns (outbound data), and the Enterprise API. Implementation examples are provided in TypeScript and Python, ensuring reliable, reusable, and scalable data pipeline construction.

A comprehensive guide for diagnosing and resolving common configuration, authentication, and runtime errors when integrating the Clerk authentication SDK. Covers issues like missing environment variables, middleware setup, session mismatches, and component usage in Next.js environments.