AI Plot to Seedance Video Prompt Assistant
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_d5c3472c/seedanceplotassistant.
About this skill
Problem
Novel, script, or short-drama text often lacks shot language, subject consistency, and generation constraints when pasted directly into a video model. This skill turns Chinese or English plot fragments into prompts for Seedance 2.0 All-in-One Reference video mode, rather than generic image prompts.
How It Works
- Element extraction: Uses rules and a lexicon to identify subject, action, scene, time, weather, props, lighting, and mood.
- Structured assembly: Builds a stable prompt in the order
technical parameters → subject → action sequence → scene and lighting → camera language → technical constraints → @reference placeholders. - Video constraints: Emphasizes slow, continuous, stable motion and adds constraints such as facial stability, no flicker, no clipping, and frame-to-frame consistency.
- Reference placeholders: Includes
@Image,@Video, and@Audionotes for binding uploaded reference assets.
Boundaries
Best for 1–3 paragraphs suitable for 8–15 second shots. For long or complex plots, input only the core segment. The @Image/@Video/@Audio entries are placeholders and should be replaced with actual Seedance asset references in the UI. Output is Chinese by default; English prompts require an upstream translation step.
Use Cases
- Turn a one-scene script into Seedance 2.0 shots with subject, motion, lighting, and camera language.
- Convert a novel rain-street fragment into a structured Chinese video prompt for Seedance 2.0.
- Prepare @Image, @Video, and @Audio placeholders for Seedance All-in-One Reference mode.
- Input a key 8–15 second beat, then adjust duration, ratio, resolution, and fps.
Best For
- Scriptwriters turning short-drama or novel beats into stable Seedance 2.0 video prompts.
- AI application engineers testing Seedance 2.0 video generation for subject and motion consistency.
- Prompt engineers maintaining structured Chinese video prompts for Jimeng or Seedance short videos.
- Automation testers debugging video prompt templates with structured constraints and reference placeholders.
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