seedance-prompt
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.
Best use case
seedance-prompt is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using seedance-prompt should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/seedance-prompt/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How seedance-prompt Compares
| Feature / Agent | seedance-prompt | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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)](https://github.com/Emily2040)*
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