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Client examples and usage for Azure AI Translator Text SDK in Python: translation, transliteration, language detection, and dictionary lookup.
Provides a clear, example-driven guide for using the Azure AI Text Translation SDK in Python. Covers authentication (API key, region, custom endpoint, Entra ID), installation, synchronous and async clients, common methods (translate, transliterate, detect, dictionary lookup), and best practices for batching, caching, and profanity handling.
Use this skill when integrating Azure Translator features into Python applications that need multi-language translation, script transliteration, language detection, or dictionary examples. Suitable for backend services, CLI tools, or batch translation jobs.
SDK and CLI-capable agents and developer assistants (Copilot, Claude Code, Cursor) that can edit code and advise on environment setup.
Azure AI Text Translation SDK reference skill with no bundled scripts — purely a documentation/readme-style SKILL.md showing Python SDK usage patterns. Auth examples correctly use environment variables rather than hardcoded credentials. No scripts to execute or test. Useful as a reference for developers already using Azure Translator, but limited utility for agent automation since it only provides code snippets without actionable workflows.
Clean skill with no security concerns. Auth examples use env vars and DefaultAzureCredential. Deductions: no scripts (purely documentation), broad but shallow — covers many SDK features but none deeply enough for production use. Architecture is flat — just a long SKILL.md with no references/ or scripts/ directory. Usefulness is moderate because Azure Translator is a real service with real demand, but this skill doesn't automate anything; it's a glorified README.
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