CtrlK
BlogDocsLog inGet started
Tessl Logo

seedance-vocab-ja

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

72

Quality

90%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

seedance-vocab-ja

Use Japanese cinematic vocabulary when the user asks for Japanese prompt wording, bilingual delivery, compact translation, or production vocabulary for camera, lighting, motion, VFX, and audio. Preserve reference tags exactly: @Image1, @Video1, and @Audio1 remain in English brackets.

Intent

The user working in Japanese often lives closest to the anime tradition this model loves to render. Serve both registers - the politeness-shaped natural sentence and the production term - and let the vocabulary feel native, never translated.

Usage Rule

Prefer concise production Japanese over literal translation. Keep the structure readable: subject, action, camera, lighting, sound, and preservation constraint.

FunctionJapanese wording
Cameraゆっくりドリーイン, 横移動のトラッキング, 固定の中景, 低いアングル, クローズアップ
Lighting逆光, 柔らかい窓光, 暖かいプラクティカルライト, 冷たい月明かり, 輪郭光
Motionゆっくり振り返る, 画面を素早く横切る, 水滴が下へ流れる, 煙が薄く広がる
Audio静かな環境音, 短い台詞, 金属音, 音楽なし
Constraintsロゴ、ラベル、形状を正確に維持する

Compact Pattern

@Image1を参照として、被写体の顔/商品形状/ロゴを正確に維持する。変化は[動き/光/カメラ]のみ。カメラ:[一つの動き]。音:[音声指示]。

De-Slop Rule

When the prompt leans on 映画のような, エモい, 雰囲気のある, 壮大な, or 高画質, load the Slop Traps table in references/vocab/ja.md and decompose each into the physical elements that produce it - 動作動詞+速度+視点, 光源+方向+挙動.

Output Contract

Return Japanese prompt wording, optional English gloss when useful, and unchanged reference tags.

Repository
Emily2040/seedance-2.0
Last updated
First committed

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.