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Multilingual Dubbing

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xianyu110
multilingual-dubbing

多语言本地化配音:把中文带货视频本地化为英语、日语、韩语、东南亚语(印尼/泰/越/马来/菲律宾)、西语等版本——本地化改写口播(不是直译)、选对 edge-tts 音色、生成对应字幕与花字,并用同一份 storyboard 一键渲染多语言成片。Use when the user wants dubbing, 多语言, 本地化, 翻译配音, 出海, localize a product video for TikTok Shop US/UK/SEA, English voice-over, or multiple language versions of one video.

Overview

Publisherxianyu110
Repositoryecommerce-video-skills
Skill namemultilingual-dubbing
Stars
110
Forks
16
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by xianyu110 on GitHub. Read the source before you install it.

Installation

Install the Multilingual Dubbing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xianyu110/ecommerce-video-skills/tree/main/skills/multilingual-dubbing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xianyu110/ecommerce-video-skills.git /tmp/ecommerce-video-skills
mkdir -p .claude/skills
cp -r /tmp/ecommerce-video-skills/skills/multilingual-dubbing .claude/skills/multilingual-dubbing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multilingual Dubbing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Multilingual Dubbing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Multilingual Dubbing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

多语言本地化配音 · Multilingual Dubbing

一份 storyboard.json,加上 line_en / sub_en / title_en / cta_en / tag_en 这类字段,就能用 --lang en 渲染出英文版。画面、节奏、转场全部复用;镜头时长按新语言的配音自动重算。

Part of ecommerce-video-skills · 脚本:scripts/assemble.py --lang <code>(内含 tts_edge.py、make_subs.py)

输入 Inputs

  • 已完成的中文 storyboard.json
  • 目标市场(不只是语言):US / UK / ID / TH / VN / MY / PH / JP / KR / MX …
  • 当地可用的卖点表述与合规要求(如需)

步骤 Steps

  1. 本地化改写,不直译:保留卖点,换成当地说法和场景(中文「通勤」→ 美国「commute / road trip」;东南亚强调「hot weather / ice」)。

  2. 长度对齐:英文语速约 2.5 词/秒;每句词数 ≈ 原镜头秒数 × 2.5,超长就删。

  3. 写字段:每镜加 line_xx(配音)、sub_xx(字幕,可用 **高亮** 与 |)、可选 title_xx、cta_xx;顶层加 tag_xx。缺失的字段回退到中文原字段(sub_xx 写 "" 表示不出字幕)。

  4. 选音色:

    市场音色示例(--voice)
    美国en-US-AndrewNeural(男)· en-US-AvaNeural(女)· en-US-EmmaNeural
    英国en-GB-SoniaNeural
    印尼id-ID-GadisNeural
    泰国th-TH-PremwadeeNeural
    越南vi-VN-HoaiMyNeural
    马来西亚ms-MY-YasminNeural
    菲律宾fil-PH-BlessicaNeural
    日本 / 韩国ja-JP-NanamiNeural / ko-KR-SunHiNeural
    墨西哥 / 巴西es-MX-DaliaNeural / pt-BR-FranciscaNeural

    全部音色:python scripts/tts_edge.py --list en- / --list id-ID …

  5. 渲染:

    bash
    python scripts/assemble.py storyboard.json --lang en --voice en-US-AndrewNeural --rate "+5%" -o out/video-en.mp4 --build build/en
    python scripts/assemble.py storyboard.json --lang th --voice th-TH-PremwadeeNeural --font "Noto Sans Thai" -o out/video-th.mp4 --build build/th

    每种语言用独立 --build 目录。泰语/阿拉伯语等需安装对应字体并用 --font 指定(CJK 字体不含这些字形)。

  6. 母语者过一遍:至少检查钩子句、CTA 和品牌名读音。

字段示例

json
{"image": "assets/infographic.webp", "fit": "blur",
 "line": "早上装满冰块,到晚上冰块还在。", "sub": "早上装满冰块|到晚上**冰块还在**", "title": "24h 保冰",
 "line_en": "Fill it with ice in the morning, it's still there at night.",
 "sub_en": "Ice in the morning|**still there at night**", "title_en": "Ice for 24h"}

仓库示例 examples/aura-bottle/storyboard.json 已包含完整英文字段。

提示词模板 Prompt template

text
把这份中文带货 storyboard 本地化为 {美国英语},面向 {TikTok Shop US} 用户:
- 不直译,用当地常见说法和场景;保留所有卖点,不新增数据或承诺
- 每句词数 ≤ 原镜头秒数 × 2.5;字幕可用 | 分段、**加粗** 1 个关键词
- 为每个 shot 输出 line_en / sub_en(以及原本有 title/cta 的 title_en / cta_en),顶层输出 tag_en
- 品牌名保持原拼写;单位换算为当地习惯(如 oz / °F),但数值必须与原文等价
storyboard:{粘贴}

检查清单 Checklist

  • 改写而非直译;单位/习惯已本地化且数值等价
  • 每镜配音时长与画面匹配(看 build/<lang>/timing.json)
  • 字体覆盖目标语言字形
  • 母语者检查钩子、CTA、品牌读音
  • 当地平台对 AI 配音/广告标注的要求已确认

常见问题与修复 Failure fixes

问题修复
字幕显示方框安装目标语言字体并 --font 指定
某镜太长/太短删减或补充该镜 line_xx;或设 min
品牌名读错line_xx 写音译拼读,sub_xx 保留正确拼写
花字仍是中文补 title_xx / cta_xx / tag_xx

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Multilingual Dubbing AI skill do?

多语言本地化配音:把中文带货视频本地化为英语、日语、韩语、东南亚语(印尼/泰/越/马来/菲律宾)、西语等版本——本地化改写口播(不是直译)、选对 edge-tts 音色、生成对应字幕与花字,并用同一份 storyboard 一键渲染多语言成片。Use when the user wants dubbing, 多语言, 本地化, 翻译配音, 出海, localize a product video for TikTok Shop US/UK/SEA, English voice-over, or multiple language versions of one video.

Why use Multilingual Dubbing on TypingMind?

Because you install it once and use it with any model. Multilingual Dubbing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Multilingual Dubbing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xianyu110/ecommerce-video-skills/tree/main/skills/multilingual-dubbing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Multilingual Dubbing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Multilingual Dubbing?

As many as you like. As long as a model supports skills, you can use Multilingual Dubbing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Multilingual Dubbing AI skill free?

Yes. It is published on GitHub by xianyu110 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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