把用户的自然语言视频需求转换为符合 Doubao Seedance 2.0 进阶公式的提示词(8 要素:精准主体+动作细节+场景环境+光影色调+镜头运镜+视觉风格+画质+约束条件)。用于"帮我写一个 Seedance 提示词"、"生成视频提示词"、"做个产品广告视频"、"用 Seedance 生成 XX"等触发场景。如果用户没明确说 Seedance,但描述的是单一镜头的复杂叙事/多主体/电影感视频,也优先用此 skill。
npx skills add https://github.com/cclank/lanshu-awesome-ai-video-kit --skill seedance-prompter
把用户的"我想要什么样的视频"转换成 Seedance 2.0 能理解的工程级指令。
精准主体 + 动作细节 + 场景环境 + 光影色调 + 镜头运镜 + 视觉风格 + 画质 + 约束条件
详见 methodology/02-进阶公式.md。
如果用户只给了一两句话("做个香水广告"),先问清楚以下要素中至少 3 项(不要问全部,挑最影响结果的):
| 要素 | 示例问题 |
|---|---|
| 主体 | "香水瓶什么样?玻璃透明还是磨砂?" |
| 动作 | "瓶子是静止展示还是旋转/喷雾?" |
| 场景 | "实景还是纯色背景?什么色?" |
| 光影 | "硬光戏剧感还是柔光高级感?" |
| 镜头 | "特写质感优先还是中景展示整瓶?" |
| 风格 | "电影感 / 商业广告 / 极简 / 复古?" |
| 时长/比例 | "竖屏短视频 / 横屏 / 多长?" |
例外:如果用户说"随便""快"或给了参考图,直接生成一版给他改。
写英文(Seedance 对英文响应更好),但用户的核心元素用原文保留(人物名字、品牌名、专有名词)。
模板骨架:
[Subject with 2-3 stable identifying features].
[Action with specific body parts + speed/intensity].
[Scene/environment].
[Light source + time of day + color tone].
[Camera size + movement + angle].
[Visual style + film grain/aesthetic anchor].
[Quality: cinematic / 4K / photorealistic].
[Negative: avoid ...; no watermark; no logo; preserve face stability].
提交前自查:
8mm + 4K、slow motion + high speed)?no watermark, no logo)?给用户一份完整的提示词,加 3 个说明:
## 生成的提示词
\`\`\`
[完整提示词]
\`\`\`
**推荐参数**:宽高比 [X:Y] · 时长 [N 秒] · 分辨率 1080p
**关键技巧**:[1-2 句说明这条提示词的设计思路]
**可调点**:[告诉用户可以怎么改 — 比如换光影/换风格/换镜头]
用户输入:"给我做个咖啡的广告"
澄清问题(一次性问,不超过 3 个):
用户答:极特写、温暖、竖屏。
输出:
Extreme close-up of rich cream being poured into a freshly brewed dark espresso in slow motion, creating a mesmerizing vortex pattern across the crema surface. Wisps of steam rise softly from the cup. Warm tungsten side-light highlights the contrast between cream and coffee, casting soft amber reflections on the ceramic edge. The camera slowly pulls back from macro to medium shot, revealing a styled wooden café table with a sprig of cinnamon and a folded linen napkin. Commercial quality, appetizing warm color grading, 4K, shallow depth of field, photorealistic liquid dynamics. No text overlays, no watermark, no logo.
推荐参数:9:16 · 8 秒 · 1080p
关键技巧:单镜头单运镜(仅 pull back),用极特写 → 中景的尺度变化制造戏剧性,slow motion + 温暖色调强化食欲。
可调点:把 tungsten side-light 换成 morning window light 可改成晨间感;加 with pour sound audible 提示音频路径(注意:Seedance 2.0 需独立处理音频)。
> 来源:Masterclass §1 — *The ULTIMATE Seedance 2.0 Prompting Guide*
4K, ultra HD, rich detail, sharp clarity, cinematic textures, stable picture.
Maintaining face and clothing consistency without distortion or high detail.
Generate the video without subtitles.
agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括:生成(文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx)、编辑修改(把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头)、风格转换(风格迁移、转绘、换风格)、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断:只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改,无论措辞如何(如"画只猫"、"做个海报"、"把纸船换成爱心"、"这个视频帮我改一下"、"帮我复刻这段视频"、"用这首歌做个MV"、"一句话生成短剧"),都必须触发此技能。
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成", "AI视频", "短剧", "广告视频", "视频延长", or discusses video prompt engineering, AI video generation, or Seedance 2.0 workflows.
Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts
This skill is a practical, 'use-it-while-debugging' reference for getting a LiveKit + Letta voice agent working reliably.
Download screenshot baselines from the latest CI run and commit them. Use when asked to update, accept, or refresh component screenshot baselines from CI, or after the screenshot-test GitHub Action reports differences. This skill should be run as a subagent.
| Turn vague taste, screenshots, URLs, product notes, or "make it feel like this" references into a grounded DESIGN.md plus an implementation handoff. Use it before prototypes, decks, redesigns, or image remix work when the user needs a reusable visual direction rather than a one-off prompt.
>- Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project. ALWAYS use this skill when you need to upload visual assets, HTML pages, or design docs to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement signals across a full channel, and downloading structured YouTube video details without manual scraping.
Take cclank/seedance-prompter from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.