A specialized AI assistant designed to transform creative concepts into professional-grade multi-modal prompts for the Seedance 2.0 video generation engine.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seedance-assistant
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install seedance-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Seedance Video Assistant?
Seedance Assistant is a professional-grade tool designed for the Jimeng platform, specifically optimized for the Seedance 2.0 multi-modal video generation model. It serves as a bridge between abstract creative ideas and the technical precision required for high-quality AI video production. By leveraging Openclaw Skills, the assistant provides two distinct workflows: a Quick Generation mode for rapid prompt output and a Step-by-Step Guided mode that helps users refine narratives, visual styles, and camera movements through interactive dialogue.
The tool excels at planning complex shots, managing multi-modal assets, and ensuring that generated content adheres to the technical constraints of the Seedance engine. It translates user requirements into a structured syntax that the AI can interpret with high fidelity, covering everything from cinematic lighting to specific character movements.
Seedance Video Assistant Use Cases
- Creating cinematic AI video storyboards with precise timing and shot transitions.
- Developing multi-modal prompts that reference specific images, videos, and audio clips for consistent generation.
- Refining vague creative ideas into detailed technical specifications for Jimeng Seedance 2.0.
- Planning commercial advertisements with specific brand-consistent styles and emotional arcs.
How Seedance Video Assistant Works
- The user selects between Quick Generation or Step-by-Step Guided mode to start the creative process.
- In Guided mode, the assistant collects core narrative details, video duration, and stylistic preferences.
- The assistant maps out a shot-by-shot timeline, identifying key actions and visual triggers for every second of the video.
- Technical camera language (like Dolly Zoom or Pan) and lighting specifications are applied to the narrative structure.
- The assistant organizes up to 12 multi-modal assets using specific @ syntax for precise referencing during generation.
- A final, ready-to-use prompt is generated along with an optimization checklist and asset management summary.
Seedance Video Assistant Setup
To deploy this tool as part of your Openclaw Skills library, follow these standard configuration steps. Ensure you have an active account on the Jimeng platform to utilize the generated outputs.
# Install the skill via your agent manager
openclaw install seedance-assistant
# Configure the skill to prioritize Seedance 2.0 models
openclaw configure seedance-assistant --model seedance-2.0
Seedance Video Assistant Data Schema & Taxonomy
The skill organizes inputs into a structured multi-modal map. It enforces strict limits to ensure compatibility with the Seedance 2.0 engine.
| Asset Type | Maximum Quantity | Size Limit | Duration Limit |
|---|---|---|---|
| Images | 9 files | < 30MB | N/A |
| Videos | 3 files | < 50MB | 2-15 seconds |
| Audio | 3 files | < 15MB | <= 15 seconds |
| Total Limit | 12 files | N/A | N/A |
The output uses a specialized @syntax (e.g., @image1, @video1) to link external assets to specific timestamps or generation instructions within the prompt.
Seedance Video Assistant Advanced Features
- Multi-modal asset referencing for high-precision character and style consistency.
- Support for advanced cinematic camera terminology including Hitchcockian dolly zooms and 360-degree orbits.
- Video extension logic allows users to seamlessly prolong existing clips with specific frame-to-frame continuity.
- Character replacement and style transfer capabilities to overhaul existing video content while maintaining motion data.
- Automated compliance checks to prevent generation errors related to realistic human face restrictions.
SKILL.md
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