Skill UI

Provides Azure REST-style TypeScript clients for text and document translation with language detection, transliteration, and batch processing for localization workflows.

Outlines how to configure a fast Speak local development cycle with hot reload, mocked tutors, and integrated testing so you can iterate quickly on language learning experiences while managing environment variables and errors.

Combines ESM3 and ESM C protein language models to generate sequences, predict structures, condition functions, and extract embeddings via local or Forge API inference for protein design and engineering workflows.

Train or fine-tune TRL-powered language models via Hugging Face Jobs, running SFT/DPO/GRPO workflows on managed cloud GPUs, auto-saving to the Hub and exporting GGUF builds without local setup.

This skill automates the comprehensive localization and translation of an entire MkDocs documentation suite. It translates all Markdown files from source English folders into a specified target language, preserving the exact folder structure and Markdown formatting. Additionally, it updates include references and modifies the core mkdocs.yml configuration file to properly support the new locale, ensuring a seamless multilingual documentation setup.

Design, analyze, and refine Azure infrastructure through natural language prompts, generate interactive architecture diagrams locally with bundled scripts, and produce deployable Bicep templates to automate infrastructure-as-code workflows.

This guide provides comprehensive guidelines for localizing all aspects of VS Code extensions. It covers best practices for handling configurations (settings, commands, menus), user-facing string resources, and walkthrough content. Developers can use this skill to ensure their extensions are properly adapted and functional for multiple languages.

This guide provides techniques for conducting effective crime investigations in non-English speaking countries (e.g., Thailand, Malaysia, Latin America). It teaches investigators to move beyond generic English searches by incorporating local language terms, specific regional place names, and local media terminology to find comprehensive and relevant information.