| name | seedance-prompt |
| description | 'Construct a production-ready prompt for Seedance 2.0 using the Director\'s Formula. Use when a user has a clear vision and needs to translate it into a genre-aware, intent-driven prompt. Covers genre routing, I2V gate, 30-100 word target, physics language, and anti-slop check.' |
seedance-prompt · The Director's Formula (v5.0)
This skill translates a user's creative vision into a production-ready prompt for Seedance 2.0. It uses a genre-aware, intent-driven workflow based on community-proven best practices.
The Governing Philosophy
Seedance 2.0 is an AI director. Tell it WHAT you want and HOW it should FEEL, not every micro-detail of HOW to execute it. Trust the model.
The Director's Formula
All prompts should follow this structure. The default target length is 30–100 words.
[Subject] + [Action] + [Scene] + [Camera] + [Style] + [Constraints]
The Workflow
1. Genre Router
First, ask the user to identify their content category. This determines the prompt's skeleton, length, and emphasis.
| Genre | Lead With | Length Target | Key Sections |
|---|
| Product/E-commerce | Subject | 30-50 words | Subject, Camera, Style |
| Lifestyle/Social | Action | 40-60 words | Action, Scene, Style |
| Drama/Narrative | Scene | 60-100 words | Scene, Action, Camera |
| Music Video | Style | 50-80 words | Style, Action, Camera |
| Landscape/Travel | Scene | 30-60 words | Scene, Camera, Style |
| Commercial/Brand | Style | 40-70 words | Style, Scene, Action |
| Anime/Artistic | Style | 50-90 words | Style, Action, Scene |
| UGC (User-Generated) | Action | 20-40 words | Action, Scene, Camera (handheld) |
For detailed templates per genre, see [ref:genre-guides].
2. I2V vs. T2V Gate
Ask if the user has reference images. This fundamentally changes the prompt.
- If YES (I2V Mode): The prompt should only describe motion and camera movement. Do not re-describe static visual elements that the model can already see in the image.
- If NO (T2V Mode): The prompt must describe all visual elements from scratch.
For detailed I2V guidance, see [ref:i2v-guide].
3. Build with the Formula
Construct the prompt using the Subject + Action + Scene + Camera + Style + Constraints formula, tailored to the chosen genre.
4. Physics & Degree Adverbs
Instead of vague mood words, use concrete physics and intensity descriptors.
- Physics Language:
tires smoke, gravel sprays, sweat flies off in slow motion, dust erupts violently, fat renders slowly, oil bubbles form.
- Degree Adverbs:
slowly, dramatically, violently, gently, frantically. The model cannot infer intensity from images; it must be stated.
5. Anti-Slop Check (Expanded)
Scan the prompt for slop words that conceal a lack of specific information. This now includes action and camera slop.
- Visual Slop:
beautiful, stunning, epic, amazing
- Action/Camera Slop:
dynamic, energetic, cinematic camera movement, cool transition
Replace all slop with measurable, observable details.
Why This Works
- Aligns with Model Behavior: This workflow is based on extensive analysis of community-proven prompts that have the highest success rates.
- Reduces Failure Rate: By avoiding overspecification and using the model's preferred prompt structure, this method drastically reduces errors like jitter, morphing, and camera chaos.
- Genre-Specific: Provides tailored guidance for the most common real-world use cases, not just one expert-level workflow.
Maintained by Emily (@iamemily2050)
