seedance-2.0-prompter by pexoai/pexo-skills
npx skills add https://github.com/pexoai/pexo-skills --skill seedance-2.0-prompter此技能将用户零散的多模态素材(图像、视频、音频)和模糊的创作意图,转化为可供 Seedance 2.0 视频生成模型使用的结构化、可执行的提示词。它扮演着专家提示词工程师的角色,确保底层模型能输出最高质量的结果。
此技能分析所有用户输入,并生成一个单一的、经过优化的 JSON 对象,其中包含最终的提示词和推荐的参数。其内部工作流程(识别、映射、构建)是自动处理的,不应向用户暴露。
用户请求: "让蒙娜丽莎喝一瓶可乐。我希望它看起来像电影感,像一个特写镜头。" 用户上传了 monalisa.png 和 coke.png
代理使用 seedance-2.0-prompter: 代理在内部处理请求和素材,然后将最终的 JSON 输出给链中的下一个技能。
最终输出(供内部使用):
{
"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"
}
}
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此技能依赖一个内部知识库来做出明智的决策。代理在执行过程中必须查阅这些文件。
/references/atomic_element_mapping.md : 核心知识。包含"素材类型 -> 原子元素"和"原子元素 -> 最佳引用方法"的映射表。/references/seedance_syntax_guide.md : Seedance 2.0 "@asset_name" 语法参考。/references/prompt_templates.md : 针对不同风格(例如,电影感、产品展示、叙事)的高级提示词模板。每周安装量
450
代码仓库
GitHub 星标数
373
首次出现
2026年3月6日
已安装于
openclaw354
claude-code269
gemini-cli265
kimi-cli259
codex252
cursor251
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.
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.
User Request: "Make the Mona Lisa drink a Coke. I want it to feel cinematic, like a close-up shot." User uploadsmonalisa.png and coke.png
Agent usingseedance-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"
}
}
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).Weekly Installs
450
Repository
GitHub Stars
373
First Seen
Mar 6, 2026
Installed on
openclaw354
claude-code269
gemini-cli265
kimi-cli259
codex252
cursor251
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41,400 周安装