Bilingual Translator (EN ↔ zh-TW)

SkillDev tools

Use when you need to translate marketing copy between EN and zh-TW while preserving brand voice, tone, and impact. Not word-level translation — a voice-preserving rewrite in the target locale.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Bilingual Translator (EN ↔ zh-TW) skill

What this skill tells your AI

The instructions your AI receives, as published by hogan-tech/brand-loom in skills/bilingual/SKILL.md and read by ahel’s review.

Voice-preserving translation between English and Traditional Chinese. Preserves brand tone, audience targeting, and phrase preferences across languages.

Quick start

  • CLI: brand-loom run bilingual --text "Ship it, then iterate." --target-locale zh-TW
  • Python API: run_skill("bilingual", "Ship it.", target_locale="zh-TW")

Features

  • Voice-preserving rewrite (not word-level translation)
  • Supports preserve_terms to keep brand names, acronyms verbatim
  • Full brand_context support (tone, audience, do/avoid phrases)
  • Returns unchanged if source = target locale

Multi-language support beyond EN/zh-TW (auto-detection, 10+ locales, continuous voice alignment) lives in hosted Neoxra.

Signals

GitHub stars
22
Forks
4
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
bilingual
Source
github.com/hogan-tech/brand-loom