| name | bilingual |
| slug | bilingual |
| displayName | Bilingual Translator (EN ↔ zh-TW) |
| summary | Voice-preserving translation between English and Traditional Chinese |
| description | 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. |
| version | 0.2.0 |
| license | Apache-2.0 |
| compatibility | Claude Code, Cursor, OpenClaw, or standalone via pip install brand-loom |
| homepage | https://github.com/hogan-tech/brand-loom |
| when_to_use | bilingual content, EN to zh-TW translation, zh-TW to EN translation, localization, i18n marketing copy |
| argument-hint | <text> --target-locale zh-TW [--brand brand.json] |
| metadata | {"author":"hogan-tech","discipline":"marketing","hosted":"https://neoxra.com"} |
Bilingual Translator (EN ↔ zh-TW)
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.
