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seedance-2.0-prompter

by @pexoaiv
4.8(16)

Specializes in prompt engineering for Seedance 2.0, mastering how to design and optimize prompts to guide AI models in generating high-quality, expected outputs, enhancing AI application effectiveness.

Prompt EngineeringLLM InteractionAI Model ControlSeedance AIGitHub
Installation
npx skills add pexoai/pexo-skills --skill seedance-2.0-prompter
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Before / After Comparison

1
Before

AI-generated content quality is unstable, possibly due to imprecise prompts or lack of professional guidance, leading to outputs that don't meet expectations.

After

Receive professional prompt engineering guidance, precisely control the direction and style of AI-generated content, significantly improving the quality and usability of generated content.

description SKILL.md


name: seedance-2.0-prompter description: > Expert prompt engineering for Seedance 2.0. Use when the user wants to generate a video with multimodal assets (images, videos, audio) and needs the best possible prompt. version: 2.1.0 author: pexoai tags: [video, generation, prompt, seedance, multimodal]

Seedance 2.0 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.

When to Use

  • When the user provides multiple assets (images, videos, audio) for video generation.
  • When the user's request is complex and requires careful prompt construction.
  • When using the Seedance 2.0 model for video generation.

Core Function

This skill analyzes all user inputs and generates a single, optimized JSON object containing the final prompt and recommended parameters. The internal workflow (Recognition, Mapping, Construction) is handled automatically and should not be exposed to the user.

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 using seedance-2.0-prompter: The agent internally processes the request and assets, then outputs the final JSON to the next skill in the chain.

Final Output (for internal use):

{
  "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.
  • /references/seedance_syntax_guide.md: Seedance 2.0 "@asset_name" syntax reference.
  • /references/prompt_templates.md: Advanced prompt templates for different genres (e.g., Cinematic, Product Showcase, Narrative).

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Installs747
Rating4.8 / 5.0
Version
Updated2026年3月16日
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Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月16日
Last Updated2026年3月16日