translator
Recognize the language of input content or video scripts and translate them precisely into English using Gemini 3.
Best use case
translator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Recognize the language of input content or video scripts and translate them precisely into English using Gemini 3.
Teams using translator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/translator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How translator Compares
| Feature / Agent | translator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Recognize the language of input content or video scripts and translate them precisely into English using Gemini 3.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Translator Skill The Translator skill leverages the power of Gemini 3 to identify the source language of any text or document (including video transcripts) and provide a high-precision translation into English. This skill is essential for the Croissant Toolkit to handle multi-lingual datasets and global video content, ensuring all metadata and context are understood in English. ## Tools ### 1. Detect and Translate Detects the language of the provided text or file and translates the content into English. If a file path is provided, it saves the English version as a new file. **Usage:** ```bash # Translate raw text python3 translator/scripts/translate.py "Hola, ¿cómo estás? me gustaría aprender sobre Croissant." # Translate a local file (e.g., a non-English transcript) python3 translator/scripts/translate.py data/transcripts/NON_ENGLISH_VIDEO_ID.txt ``` **Example:** `python3 translator/scripts/translate.py Bonjour, c'est un plaisir de participer au Hackathon.`
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