Skill UI

This library provides a straightforward, one-line setup for integrating Python applications with Azure Application Insights. It leverages OpenTelemetry for automatic instrumentation across popular frameworks (Flask, Django, FastAPI) and various libraries, enabling comprehensive monitoring of traces, metrics, and logs in a single setup.

The official management plane SDK for provisioning and managing Azure Durable Task Scheduler resources within Azure Resource Manager (ARM). This library allows developers to programmatically create, update, and delete schedulers (supporting both Dedicated and Consumption SKUs) and associated task hubs using .NET. It is essential for managing the lifecycle of durable orchestration workflows in the cloud.

This robust SDK is the official client library for .NET applications to interact with Azure Key Vault and Managed HSM. It provides comprehensive functionality for managing the full lifecycle of cryptographic keys, including creation (RSA, EC, Symmetric), version control, property updates, secure deletion, and backup/restore. It supports core cryptographic operations such as encryption, decryption, digital signing, verification, and key wrapping.

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.

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.

This skill automatically fetches the latest official documentation for programming libraries and frameworks (such as React, Next.js, or Prisma) via the Context7 API. It is essential for developers who require accurate, up-to-date technical reference material to ensure their code adheres to the most current best practices.

A comprehensive guide to utilizing a core, token-driven component library and design system patterns. It details best practices for managing UI styles—including spacing, color, and typography—by using semantic design tokens instead of hard-coded values. Ideal for building consistent, scalable, and maintainable user interfaces across different platforms.

Guides assistants through DOCX creation, editing, and redlining by describing when to unpack XML, use docx-js for new files, leverage the Document library for edits, and follow tracked-change workflows for reviews, including batching and precise OOXML edits.

FAISS (Facebook AI Similarity Search) is a library designed for efficient similarity search and clustering of dense vectors. It supports indexing and searching on billions of vectors at scale, featuring GPU acceleration and multiple index types (Flat, IVF, HNSW, PQ) to balance speed and accuracy. It is essential for building high-performance, large-scale applications requiring fast k-NN retrieval or pure vector similarity matching, especially in fields like RAG and recommendation systems.

A practical, jargon-free guide to applying functional programming principles using the fp-ts library in TypeScript. It teaches essential patterns like `pipe`, `Option`, `Either`, and `flatMap` to handle null checks, errors, and complex data transformations in a clean, maintainable, and robustly functional way. Ideal for developers looking to refactor imperative code.

Frontend Patterns documents modern React and Next.js UI best practices, covering component composition, compound components, render-props, reusable hooks, and context-reducer state management to build performant interfaces.