Bilingual
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.From its SKILL.md
npx -y skills add hogan-tech/brand-loom --skill bilingualAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
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SKILL.md
1.6 KB, 189 tokens by cl100k_base, as published. Nobody here has run it
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_termsto keep brand names, acronyms verbatim - Full
brand_contextsupport (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.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.