Skill UI

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.

cargo-fuzz provides a Cargo subcommand that lets Rust projects fuzz with libFuzzer, automating sanitizer flags, corpus/dictionary handling, crash replay, coverage reports, and harness rules, so teams can quickly validate unsafe-aware code.

Automates AWS CDK stack generator tasks by offering guided best practices, production-ready code, and validation for compute, storage, networking, serverless, and CloudFormation scenarios within AWS Skills.

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.

Automated GCP skill that activates when you ask about BigQuery ML model creator tasks, delivering best-practice guidance, production-ready code, and validation for compute, storage, BigQuery, Vertex AI, and other platform services.

Guides automated bottleneck identification within performance testing, offering step-by-step advice, auto-generated configurations, validation against standards, and coverage of load, stress, benchmarking, and monitoring workflows.

Automates Box cloud storage operations through Rube MCP, covering uploads, downloads, content search, folder lifecycle, sharing, collaborations, metadata queries, and sign requests; always start with RUBE_SEARCH_TOOLS to sync the current schema.