把一条 AI 视频提示词从源模型(如 Sora 2)的写法风格转换为目标模型(如 Kling 3.0 / Wan 2.7 / Veo 3.1 等)的最佳实践写法。基于 110 条 10 场景 × 11 模型对照基准数据(prompts/data/cross-model-matrix.json),不是凭直觉重写,而是查表式 in-context learning。10 场景:产品 / 双人对话 / 物理动作 / 图生视频 / 多人会议 / 恐怖 / 自然延时 / 抽象 / 武侠 / 萌宠。用于"Sora 已 EOL 帮我把这条提示词改成 Veo"、"我有 Kling 提示词想跑 Wan"、"跨模型 A/B 测试"、"把英文 prompt 优化成 Kling 中文版"等触发场景。
How to install prompt-translator?
cclank/lanshu-awesome-ai-video-kit/prompt-translator
$npx -y skills add cclank/lanshu-awesome-ai-video-kit --skill prompt-translatorInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/cclank/lanshu-awesome-ai-video-kit" --skill "cclank/lanshu-awesome-ai-video-kit/prompt-translator"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/cclank/lanshu-awesome-ai-video-kit" that are relevant to the current task. Run `npx skills add "https://github.com/cclank/lanshu-awesome-ai-video-kit"` and select the relevant skills, then follow their instructions.
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