Skill UI

Azure AI Document Translation SDK for Python enables batch translation of documents with format preservation. Supports Word, PDF, Excel, PowerPoint, and more. Use for scalable document translation with multi-language targets, glossaries, and status tracking.

Client library for Azure AI Translator service enabling real-time text translation, transliteration, language detection, dictionary lookup, and sentence boundary detection. Supports multiple languages, custom endpoints, and Azure Entra ID authentication.

Provides TypeScript REST-style clients for Azure AI Translator to translate text and documents, detect languages, transliterate scripts, and manage batch document translation with authentication options.

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.

A style contract for writing timeless, forceful English prose without modern AI tics. Use for essays, rewrites, or any writing requiring clean, exact, concrete language with strong rhythm and authority.

This skill enforces Sentry's specific blog writing standards for all posts, ensuring content sounds like a senior engineer sharing insights rather than generic marketing copy. It guides users on structure, banned language, technical precision, and voice to create credible technical storytelling, product announcements, and engineering deep-dives.

This skill provides comprehensive guidelines for writing idiomatic and efficient C code. It covers critical topics such as memory management, pointer usage, error handling, string manipulation, and struct definitions. The guide emphasizes safety practices like checking malloc returns, avoiding buffer overflows, and using proper error codes. It also highlights common anti-patterns to avoid, ensuring robust and maintainable software development in the C language.

An expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverages AI tools like GitHub Copilot, Qodo, GPT-5, and Claude with platforms like SonarQube, CodeQL, and Semgrep to identify bugs, vulnerabilities, and performance issues in code across 30+ languages.

Analyze cryptographic code to detect timing attacks and side-channel leaks that expose secret data through execution time variations. Supports multiple languages including C, Python, and Java. Essential for securing encryption and key derivation functions.

This skill covers predictable performance degradation patterns in language models as context length increases, including lost-in-middle effects, context poisoning, and distraction. It helps diagnose agent failures and design resilient systems by understanding attention mechanics and context engineering strategies for production environments.

This skill covers the core concepts of context engineering for language models, including system prompts, tool definitions, retrieved documents, message history, and tool outputs. It explains attention mechanisms, context windows, and strategies like progressive disclosure to optimize token usage and agent performance.

This skill covers strategies for optimizing Large Language Model context windows to prevent context rot. It includes techniques like summarization, trimming, routing, and prioritization to manage token budgets effectively. Developers can use these methods to build multi-turn conversation systems where context length is a constraint, leveraging tools like tiktoken and LangChain for implementation.