Results for “translator”

Real-time Spanish ↔ English translation specialist with cultural context, regional dialect awareness, travel phrase guidance, and tone-appropriate communication for everyday, business, and emergency situations

Quinto agente do Time de Migração. Traduz as telas do sistema legado em especificações executáveis, fechando a lacuna entre o catálogo do design-system e o código pronto. Opera em duas fases. Fase 1: detecta plataforma origem/alvo, apresenta os modos (literal, modernizado, híbrido) e exige decisão humana, produzindo screen_modernization_decision.md. Fase 2: gera target_screens.md, screen_deviation_log.md e, quando o oráculo legado roda, golden files com manifest.yaml para o Inspector consumir. Ativação: /reversa-screen-translator (geralmente invocado por /reversa-migrate, entre Designer e Inspector).

Translates text between languages with pronunciation guidance for non-Latin scripts and context notes.

Translates text between languages with three modes: quick, normal, and refined. Supports custom glossaries, audience targeting, and style presets.

Use when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized README variants in a GitHub-style repository.

Translate text faithfully into a target language while preserving meaning, register, and intent.

Translate text between languages with cultural adaptation, terminology consistency, and support for multiple document types including technical docs, marketing copy, and UI strings. Use when the user requests translation or provides relevant inputs for this workflow.

Language Tutor

Translate and sync bilingual user documentation between docs/zh/ and docs/en/ following the source-of-truth rules in docs/AGENTS.md.

Translate all documentation files in a MkDocs project from English into a specified target language, preserving folder structure, Markdown formatting, and updating configuration.

Train or fine-tune sentence-transformers models for retrieval, similarity, clustering, classification, and reranking, with support for bi-encoders, cross-encoders, and sparse encoders.

Transcribe audio files to text with optional speaker diarization and known-speaker hints using OpenAI models.

Tags harness-decomposed curriculum items (KUDs, LTs, criteria) with a school's developmental band metadata while preserving source voice and labels. Supply the band schema; the skill derives mapping rules from it.

Use when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized README variants in a GitHub-style repository.

Inspect and manipulate transformer internals via HookPoints and activation caching for mechanistic interpretability research.

Load pre-trained models from Hugging Face Hub, run pipeline inference, generate text, and fine-tune models on NLP, vision, audio, and multimodal tasks using the Transformers library.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Orchestrates the end-to-end process of turning a resource into learning material by delegating to resource-gatherer, syntax-interpreter, and study-builder.

Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.

Build a bilingual terminology glossary and style guide that enforces consistency across a translation project.

Generate high-quality sentence and text embeddings for semantic similarity, clustering, and retrieval using 5000+ pre-trained models. Supports multilingual and domain-specific embeddings for RAG and semantic search.

Imported skill redlining from anthropic

Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and citation capsules. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol".

Translates visa application documents from images into professional English PDFs, handling image conversion, rotation, OCR, and translation.

i18n-internationalization

Sets up internationalization by extracting hardcoded user-facing strings to locale files, auto-detecting the framework, configuring the appropriate i18n library, handling pluralization, formatting, and RTL support.

Translates English text paragraph by paragraph into Chinese and provides deep linguistic analysis covering vocabulary, phrases, grammar, voice, syntax, and sentence structure.

I18N Translation Management Skill

Transform the voice in an audio recording into a different target voice while preserving emotion, timing, and delivery using the ElevenLabs Voice Changer API.

Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file using trace_processor.

Generate a language translation for a mkdocs documentation stack.

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.