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Seedance Vocab Zh

CommunityPopular
Emily2040
seedance-vocab-zh

This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.

Overview

PublisherEmily2040
Repositoryseedance-2.0
Skill nameseedance-vocab-zh
Stars
7.4K
Forks
1.1K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Emily2040 on GitHub. Read the source before you install it.

Installation

Install the Seedance Vocab Zh 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.
  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/Emily2040/seedance-2.0.git /tmp/seedance-2.0
mkdir -p .claude/skills
cp -r /tmp/seedance-2.0/skills/seedance-vocab-zh .claude/skills/seedance-vocab-zh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seedance Vocab Zh 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 Seedance Vocab Zh 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 Seedance Vocab Zh 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.

seedance-vocab-zh

Before producing prompt text, a prompt-ready block, a rewrite, an example, or a compiled clip, load the Director's Read, classify the brief, and complete its canonical narrative or non-narrative record. Translate that record into visible or audible carriers and keep its internal labels out of final generation prose.

Use Chinese vocabulary when the user asks for Chinese prompts, Mandarin cinematic wording, role binding, first/last-frame workflow, or maximum compactness. Chinese prompt wording is often efficient, but it must still preserve mode, reference tags, action, camera, lighting, audio, and constraints.

Intent

Chinese production wording can use compact compounds, but compression is useful only when the shot instruction remains explicit. Keep each concise phrase tied to a visible action, camera behavior, light source, sound, or preservation constraint. The shipped independent review artifact is empty, so treat these choices as working production wording pending locale-specialist review.

Usage Rule

Preserve actual reference tags exactly; their spelling is independent of the prompt language. Use short production phrases instead of abstract adjectives.

Before adapting a reference example below, load Using Reference Examples. Bind its placeholders to real assets by the requested role, then preserve the actual token, including its script, case, spacing and punctuation. A written example token does not attach a file.

Load vocab/zh for dense role-binding, first/last-frame, camera, lighting, audio, edit/extend, constraint, and safety vocabulary.

FunctionChinese wording
Camera缓慢推镜, 横向跟拍, 固定中景, 低角度, 特写, 从剪影到正面四分之三角度
Lighting侧逆光, 柔和窗光, 暖色实用灯, 冷色月光, 轮廓光, 体积光
Motion慢慢转身, 快速掠过画面, 水珠沿表面下滑, 薄雾贴地扩散
Audio安静环境声, 一句短对白, 轻微金属声, 无配乐, 脚步声卡点
First/last frame@图片1 为首帧, @图片2 为尾帧, 自然过渡到尾帧, 中间动作连续,不跳切
Constraints严格保持logo、标签、形状和颜色不变

Compact Pattern

@Image1为参考,严格保持[主体/产品/脸部/标志]不变;仅加入[动作/光线/镜头变化]。镜头:[一个动作]。声音:[音效或环境声]。

Script Variant Rule

When choosing or adapting Chinese prompt or delivery text, load Script Variant (简繁) in Chinese vocabulary. Preserve the user's chosen prompt script, subtitle script, locale and intended voice as separate decisions. Do not force Simplified prompting or infer a voice from written script. Keep exact dialogue and reference tags unchanged; convert or localize only the text the user asked to adapt. If a missing choice materially affects that deliverable, ask one focused question or use the user's delegated choice. Never convert by find-and-replace (头发 → 頭髮, not 頭發).

De-Slop Rule

When an adjective leaves the intended shot unclear, load Slop Traps in Chinese vocabulary. Preserve a useful style or aesthetic term and add only the scene-specific action, framing, light, or sound needed to clarify it. The table offers authored options, not a default look or a proven model-performance rule. Keep the user's chosen energy, dialogue, reference tags, and settings. Offer distinct choices only when the ambiguity changes the scene; if the user delegated the choice, decide within that scope.

Output Contract

Return concise Chinese prompt text, optional English gloss when useful, and preserve reference tags exactly.

Frequently asked questions

What does the Seedance Vocab Zh AI skill do?

This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.

Why use Seedance Vocab Zh on TypingMind?

Because you install it once and use it with any model. Seedance Vocab Zh 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 Seedance Vocab Zh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Emily2040/seedance-2.0/tree/main/skills/seedance-vocab-zh. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seedance Vocab Zh?

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 Seedance Vocab Zh?

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

Is the Seedance Vocab Zh AI skill free?

Yes. It is published on GitHub by Emily2040 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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