Loading...
Loading...
Found 211 Skills
从智慧芽获取翻译后的专利说明书（描述）文本。当用户要求专利说明书翻译、其他语言的专利全文、翻译后的专利全文，或想查看中文、英文、日文版的专利说明书、patent specification translation, patent description translation, PatSnap, patent translation时触发此技能。当用户提供专利ID或公开号并要求获取其他语言的说明书/描述内容，或提到"专利说明书翻译"、"描述翻译"、"翻译全文"等类似意图时也应触发。
Transforms vague UI/feature requests into structured, optimized prompts with design system awareness. Use when generating prompts for UI implementation, feature specification, or design-to-code translation. Triggers on tasks requiring prompt refinement, UI specification, or design system integration.
Implements and debugs browser Language Detector API integrations in JavaScript or TypeScript web apps. Use when adding LanguageDetector support checks, availability and model download flows, session creation, detect() calls, input-usage measurement, permissions-policy handling, or compatibility fallbacks for built-in language detection. Don't use for server-side language detection SDKs, cloud translation services, or generic NLP pipelines.
Creates and maintains Figma Code Connect template files that map Figma components to code snippets. Use when the user mentions Code Connect, Figma component mapping, design-to-code translation, or asks to create/update .figma.js files.
Reading companion agent. Accompanies user through any text (books, articles, essays, papers, news) with translation, structural annotation, deep questioning, and cross-domain insights. Detects language, translates English to Chinese (faithfulness-expressiveness-elegance), guides reader to understand the author and encounter real questions. Use when user says '伴读', '陪我读', '读这篇', 'read with me', 'companion read', or shares a text/URL wanting guided reading.
Chinese Technical Documentation Writing Guidelines: Master Formatting, Terminology, and Structure in One Go, Say Goodbye to Machine Translation Style
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
iOS/macOS app localization management for Tuist-based projects with .strings files. Use when: (1) Adding new translation keys to modules, (2) Validating .strings files for missing/duplicate keys, (3) Syncing translations across languages, (4) AI-powered translation from English to other locales, (5) Checking placeholder consistency (%@, %d), (6) Generating localization reports, (7) Updating Swift code to use localized strings instead of hardcoded text.
Generate a language translation for a mkdocs documentation stack.
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and browsers (with WebGPU/WASM) using pre-trained models from Hugging Face Hub.
Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.
Reference data for test filter syntax across all platform and framework combinations: VSTest --filter expressions, MTP filters for MSTest/NUnit/xUnit v3/TUnit, and VSTest-to-MTP filter translation. DO NOT USE directly — loaded by run-tests, mtp-hot-reload, and migrate-vstest-to-mtp when they need filter syntax.