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Seedance Prompt Designer

智能分析用户提供的多模态素材和创意意图,为Seedance 2.0模型生成最优、结构化的视频生成提示词。

person作者: wells1137hubclawhub

Seedance Prompt Designer Skill

This skill transforms a user's scattered multimodal assets (images, videos, audio) and ambiguous creative intent into a structured, executable prompt for the Seedance 2.0 video generation model. It acts as an expert prompt engineer, ensuring the highest quality output from the underlying model.

Core Workflow

This skill follows a strict three-phase workflow. The output of each phase is the input for the next.

| Phase | Goal | Key Actions | Output | | :--- | :--- | :--- | :--- | | 1. Recognition | Understand user input | Parse intent, analyze assets, tag with atomic roles | recognition_output.json | | 2. Mapping & Strategy | Design an executable reference strategy | Determine optimal reference method (Text, Asset, Hybrid) | strategy_output.json | | 3. Construction & Assembly | Generate the final, complete prompt | Assemble text, append @-syntax, consult templates | final_prompt.json |

Usage Example

User Request: "Make the Mona Lisa drink a Coke. I want it to feel cinematic, like a close-up shot." User uploads monalisa.png and coke.png

Agent's Internal Process:

  1. Recognition: Identifies action_intent ("drink a Coke"), style_intent ("cinematic, close-up"), and tags monalisa.png as Subject Identity and coke.png as Subject Identity-Object.
  2. Mapping & Strategy: Decides to use @monalisa and @coke as asset references and the rest as text prompts.
  3. Construction & Assembly: Assembles the final prompt.

Final Output:

{
  "final_prompt": "A cinematic close-up shot of a woman picking up a bottle of Coke and taking a sip. The scene is lit with dramatic, high-contrast lighting. Use @monalisa as the subject reference, and the object appearing in the video is @coke.",
  "recommended_parameters": {
    "duration": 8,
    "aspect_ratio": "16:9"
  }
}

Knowledge Base

This skill relies on an internal knowledge base to make informed decisions. The agent MUST consult these files during execution.

  • /references/atomic_element_mapping.md: Core Knowledge. Contains the "Asset Type -> Atomic Element" and "Atomic Element -> Optimal Reference Method" mapping tables. Must be consulted during Phase 1 and Phase 2.
  • /references/seedance_syntax_guide.md: Seedance 2.0 "@asset_name" syntax reference. Must be consulted during Phase 3 to ensure correct syntax generation.
  • /references/prompt_templates.md: Advanced prompt templates for different genres (e.g., Cinematic, Product Showcase, Narrative). Optional consultation during Phase 3 for stylistic enhancement.