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Bilingual

Skill hogan-tech/brand-loom/skills/bilingual

Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.

Install
npx -y skills add hogan-tech/brand-loom --skill bilingual

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2 things to look at

  • 23 days oldThe repository was created 23 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 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 author says it does

Copied from the file, not written here

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.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.6 KB, 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_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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.